Relevant bibliographies by topics / Biomolecules

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Biomolecules'

Author: Grafiati
Published: 4 June 2021
Last updated: 12 June 2025

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Journal articles on the topic "Biomolecules"

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Miyata, Takashi. "Smart Hydrogels that Respond to Target Biomolecules." Advances in Science and Technology 57 (September 2008): 15–21. http://dx.doi.org/10.4028/www.scientific.net/ast.57.15.

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We have prepared a variety of biomolecule-responsive hydrogels by using biomolecular complexes as reversible crosslinking points. This paper describes two types of biomolecule-responsive hydrogels that undergo volume changes in response to target biomolecules, which were prepared using biomolecular complexes such as antigen-antibody complexes and saccharide-lectin complexes. One is a biomolecule-crosslinked hydrogel that can swell in response to a target biomolecule and the other is a biomolecule-imprinted hydrogel that can shrink. The antigen-responsive hydrogels as biomolecule-crosslinked hydrogels swelled in the presence of a target antigen due to the dissociation of antigen-antibody complexes that played a role as reversible crosslinking points. On the other hand, the tumor marker glycoprotein-responsive hydrogels as biomolecule-imprinted hydrogels shrank in response to a target glycoprotein due to the complex formation between ligands (lectin and antibody) and the target molecule (saccharide and peptide chains of glycoprotein). This paper focuses on synthetic strategy of the biomolecule-responsive hydrogels and their responsive behavior for target biomolecules.
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Dixit, Chitransh, Kanchan Lata Dixit, Chandra Kumar Dixit, Praveen Kumar Pandey, and Shavej Ali Siddiqui. "Analytical Techniques for Characterizing the Composition and Structure of Complex Biomolecules." International journal of Modern Achievement in Science, Engineering and Technology 2, no. 1 (2024): 36–41. https://doi.org/10.63053/ijset.57.

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The study explores analyzing complex biomolecules is essential for advancing our understanding of biological systems and their role in health and disease. This abstract provides an overview of analytical techniques used to characterize the composition and structure of these intricate biomolecules. One crucial technique is mass spectrometry, which enables the precise determination of a biomolecule's molecular weight and the identification of its constituent atoms and functional groups. Liquid chromatography-mass spectrometry (LC-MS) and tandem mass spectrometry (MS/MS) are commonly employed for this purpose. These methods are particularly useful for analyzing proteins, nucleic acids, lipids, and carbohydrates. Nuclear magnetic resonance (NMR) spectroscopy is another indispensable tool for characterizing biomolecular structures. It provides atomic-level insights into three-dimensional structures, dynamics, and interactions. By measuring chemical shifts and coupling constants, NMR allows researchers to deduce the connectivity and conformation of complex biomolecules. X-ray crystallography, although mainly applied to proteins and larger biomolecules, provides high-resolution structural information. It involves the formation of crystalline structures that diffract X-rays, yielding detailed atomic structures. Electron microscopy, including cry-electron microscopy (cry-EM), is pivotal for visualizing macromolecular complexes and subcellular structures. It offers structural information at nanometre to near-atomic resolution, enabling the study of protein-protein interactions and organelle architecture. Infrared spectroscopy (IR) and circular dichroism (CD) spectroscopy are employed to probe biomolecule secondary structures, such as alpha-helices and beta-sheets, based on their unique vibrational and optical properties. These analytical techniques, when used in combination, provide a comprehensive view of the composition, conformation, and interactions of complex biomolecules. Their integration advances our understanding of fundamental biological processes and facilitates drug discovery and the development of therapeutic interventions.
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Yuan, Yi, Congrong Chen, Xinyi Guo, Bing Li, Ni He, and Shaoyun Wang. "Noncovalent interactions between biomolecules facilitated their application in food emulsions' construction: A review." Comprehensive Reviews in Food Science and Food Safety 23, no. 1 (2023): 1–23. http://dx.doi.org/10.1111/1541-4337.13285.

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AbstractThe use of biomolecules, such as proteins, polysaccharides, saponins, and phospholipids, instead of synthetic emulsifiers in food emulsion creation has generated significant interest among food scientists due to their advantages of being nontoxic, harmless, edible, and biocompatible. However, using a single biomolecule may not always meet practical needs for food emulsion applications. Therefore, biomolecules often require modification to achieve ideal interfacial properties. Among them, noncovalent interactions between biomolecules represent a promising physical modification method to modulate their interfacial properties without causing the health risks associated with forming new chemical bonds. Electrostatic interactions, hydrophobic interactions, and hydrogen bonding are examples of noncovalent interactions that facilitate biomolecules' effective applications in food emulsions. These interactions positively impact the physical stability, oxidative stability, digestibility, delivery characteristics, response sensitivity, and printability of biomolecule‐based food emulsions. Nevertheless, using noncovalent interactions between biomolecules to facilitate their application in food emulsions still has limitations that need further improvement. This review introduced common biomolecule emulsifiers, the promotion effect of noncovalent interactions between biomolecules on the construction of emulsions with different biomolecules, their positive impact on the performance of emulsions, as well as their limitations and prospects in the construction of biomolecule‐based emulsions. In conclusion, the future design and development of food emulsions will increasingly rely on noncovalent interactions between biomolecules. However, further improvements are necessary to fully exploit these interactions for constructing biomolecule‐based emulsions.
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Fujisaki, Hiroshi, Kei Moritsugu, and Yasuhiro Matsunaga. "Exploring Configuration Space and Path Space of Biomolecules Using Enhanced Sampling Techniques—Searching for Mechanism and Kinetics of Biomolecular Functions." International Journal of Molecular Sciences 19, no. 10 (2018): 3177. http://dx.doi.org/10.3390/ijms19103177.

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To understand functions of biomolecules such as proteins, not only structures but their conformational change and kinetics need to be characterized, but its atomistic details are hard to obtain both experimentally and computationally. Here, we review our recent computational studies using novel enhanced sampling techniques for conformational sampling of biomolecules and calculations of their kinetics. For efficiently characterizing the free energy landscape of a biomolecule, we introduce the multiscale enhanced sampling method, which uses a combined system of atomistic and coarse-grained models. Based on the idea of Hamiltonian replica exchange, we can recover the statistical properties of the atomistic model without any biases. We next introduce the string method as a path search method to calculate the minimum free energy pathways along a multidimensional curve in high dimensional space. Finally we introduce novel methods to calculate kinetics of biomolecules based on the ideas of path sampling: one is the Onsager–Machlup action method, and the other is the weighted ensemble method. Some applications of the above methods to biomolecular systems are also discussed and illustrated.
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Shil, Sumit, Mitsuki Tsuruta, Keiko Kawauchi, and Daisuke Miyoshi. "Biomolecular Liquid–Liquid Phase Separation for Biotechnology." BioTech 12, no. 2 (2023): 26. http://dx.doi.org/10.3390/biotech12020026.

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The liquid–liquid phase separation (LLPS) of biomolecules induces condensed assemblies called liquid droplets or membrane-less organelles. In contrast to organelles with lipid membrane barriers, the liquid droplets induced by LLPS do not have distinct barriers (lipid bilayer). Biomolecular LLPS in cells has attracted considerable attention in broad research fields from cellular biology to soft matter physics. The physical and chemical properties of LLPS exert a variety of functions in living cells: activating and deactivating biomolecules involving enzymes; controlling the localization, condensation, and concentration of biomolecules; the filtration and purification of biomolecules; and sensing environmental factors for fast, adaptive, and reversible responses. The versatility of LLPS plays an essential role in various biological processes, such as controlling the central dogma and the onset mechanism of pathological diseases. Moreover, biomolecular LLPS could be critical for developing new biotechnologies such as the condensation, purification, and activation of a series of biomolecules. In this review article, we introduce some fundamental aspects and recent progress of biomolecular LLPS in living cells and test tubes. Then, we discuss applications of biomolecular LLPS toward biotechnologies.
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Kim, S. M., and Hyun Kyu Kweon. "A Basic Study of the CNT-Biomolecule Conjugation by Molecular Dynamics Analysis." Key Engineering Materials 381-382 (June 2008): 361–64. http://dx.doi.org/10.4028/www.scientific.net/kem.381-382.361.

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This study is about the underlying conjugation mechanism between carbon nanotube and biomolecule by molecular dynamics. In order to know about the conjugation mechanism between carbon nanotube and biomolecule, molecular dynamics simulation between carbon nanotube and water molecules was taken first and then molecular dynamics simulation between biomolecules and water molecules was taken. At simulation between carbon nanotube and water molecules, kinetic energy and potential energy became decreased with time and it means that the distance between carbon nanotube and water molecules becomes distant with time by van der Waals force and hydrophobic force. Simulation results between biomolecules and water molecules are also same as the results of carbon nanotube and water molecules simulation. From these two simulations, the conjugation mechanism between carbon nanotube and biomolecules can be predicted. Also, from simulation results between carbon nanotube and biomolecules, the distance between carbon nanotube and biomolecules becames close and it supports previous two simulation results. From these results, we can know that biomolecules enter into the carbon nanotube's cavity because of van der Waals force and hydrophobic force.
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Sciuto, Emanuele Luigi, Corrado Bongiorno, Antonino Scandurra, et al. "Functionalization of Bulk SiO2 Surface with Biomolecules for Sensing Applications: Structural and Functional Characterizations." Chemosensors 6, no. 4 (2018): 59. http://dx.doi.org/10.3390/chemosensors6040059.

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Biomolecule immobilization on bulk silicon dioxide (SiO2) is an important aspect in the field of Si-based interfaces for biosensing. The approach used for surface preparation should guarantee not only the stable anchoring of biomolecules but also their structural integrity and biological functioning. In this paper, we review our findings on the SiO2 functionalization process to immobilize a variety of biomolecules, including glucose oxidase, horseradish peroxide, metallothionein, and DNA molecules. Morphological and chemical characterization of SiO2 surfaces after biomolecule immobilization using techniques already employed in the microelectronic industry are presented and discussed. Optical and spectrophotometric analysis revealed the preservation of biomolecules’ activity once they are anchored on the biointerface.
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Raković, Dejan, Miroljub Dugić, Jasmina Jeknić-Dugić, Milenko Plavšić, Stevo Jaćimovski, and Jovan Šetrajčić. "On Macroscopic Quantum Phenomena in Biomolecules and Cells: From Levinthal to Hopfield." BioMed Research International 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/580491.

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In the context of the macroscopic quantum phenomena of the second kind, we hereby seek for a solution-in-principle of the long standing problem of the polymer folding, which was considered by Levinthal as (semi)classically intractable. To illuminate it, we applied quantum-chemical and quantum decoherence approaches to conformational transitions. Our analyses imply the existence of novel macroscopic quantum biomolecular phenomena, with biomolecular chain folding in an open environment considered as a subtle interplay between energy and conformation eigenstates of this biomolecule, governed by quantum-chemical and quantum decoherence laws. On the other hand, within an open biological cell, a system of all identical (noninteracting and dynamically noncoupled) biomolecular proteins might be considered as corresponding spatial quantum ensemble of these identical biomolecular processors, providing spatially distributed quantum solution to a single corresponding biomolecular chain folding, whose density of conformational states might be represented as Hopfield-like quantum-holographic associative neural network too (providing an equivalent global quantum-informational alternative to standard molecular-biology local biochemical approach in biomolecules and cells and higher hierarchical levels of organism, as well).
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Hong, Yoochan, Yong-Min Huh, Dae Sung Yoon, and Jaemoon Yang. "Nanobiosensors Based on Localized Surface Plasmon Resonance for Biomarker Detection." Journal of Nanomaterials 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/759830.

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Localized surface plasmon resonance (LSPR) is induced by incident light when it interacts with noble metal nanoparticles that have smaller sizes than the wavelength of the incident light. Recently, LSPR-based nanobiosensors were developed as tools for highly sensitive, label-free, and flexible sensing techniques for the detection of biomolecular interactions. In this paper, we describe the basic principles of LSPR-based nanobiosensing techniques and LSPR sensor system for biomolecule sensing. We also discuss the challenges using LSPR nanobiosensors for detection of biomolecules as a biomarker.
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Sytu, Marion Ryan C., David H. Cho, and Jong-in Hahm. "Self-Assembled Block Copolymers as a Facile Pathway to Create Functional Nanobiosensor and Nanobiomaterial Surfaces." Polymers 16, no. 9 (2024): 1267. http://dx.doi.org/10.3390/polym16091267.

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Block copolymer (BCP) surfaces permit an exquisite level of nanoscale control in biomolecular assemblies solely based on self-assembly. Owing to this, BCP-based biomolecular assembly represents a much-needed, new paradigm for creating nanobiosensors and nanobiomaterials without the need for costly and time-consuming fabrication steps. Research endeavors in the BCP nanobiotechnology field have led to stimulating results that can promote our current understanding of biomolecular interactions at a solid interface to the never-explored size regimes comparable to individual biomolecules. Encouraging research outcomes have also been reported for the stability and activity of biomolecules bound on BCP thin film surfaces. A wide range of single and multicomponent biomolecules and BCP systems has been assessed to substantiate the potential utility in practical applications as next-generation nanobiosensors, nanobiodevices, and biomaterials. To this end, this Review highlights pioneering research efforts made in the BCP nanobiotechnology area. The discussions will be focused on those works particularly pertaining to nanoscale surface assembly of functional biomolecules, biomolecular interaction properties unique to nanoscale polymer interfaces, functionality of nanoscale surface-bound biomolecules, and specific examples in biosensing. Systems involving the incorporation of biomolecules as one of the blocks in BCPs, i.e., DNA–BCP hybrids, protein–BCP conjugates, and isolated BCP micelles of bioligand carriers used in drug delivery, are outside of the scope of this Review. Looking ahead, there awaits plenty of exciting research opportunities to advance the research field of BCP nanobiotechnology by capitalizing on the fundamental groundwork laid so far for the biomolecular interactions on BCP surfaces. In order to better guide the path forward, key fundamental questions yet to be addressed by the field are identified. In addition, future research directions of BCP nanobiotechnology are contemplated in the concluding section of this Review.
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Dissertations / Theses on the topic "Biomolecules"

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Hyeon, Changbong. "Stretching biomolecules." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3117.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Chemical Physics. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Baaske, Philipp. "Biomolecules in microthermal fields." Diss., lmu, 2010. http://nbn-resolving.de/urn:nbn:de:bvb:19-155099.

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Merron, B. D. "Fragmentation studies of biomolecules." Thesis, Queen's University Belfast, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.395444.

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Charlton, David Wesley. "Confocal studies of biomolecules." Thesis, University of Reading, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.427860.

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Conrad, Andrew Ryan. "Rotational Spectroscopy of Biomolecules." Kent State University / OhioLINK, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=kent1309478136.

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Chen, Sih-Yu. "Computational studies of biomolecules." Thesis, University of St Andrews, 2017. http://hdl.handle.net/10023/11064.

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In modern drug discovery, lead discovery is a term used to describe the overall process from hit discovery to lead optimisation, with the goal being to identify drug candidates. This can be greatly facilitated by the use of computer-aided (or in silico) techniques, which can reduce experimentation costs along the drug discovery pipeline. The range of relevant techniques include: molecular modelling to obtain structural information, molecular dynamics (which will be covered in Chapter 2), activity or property prediction by means of quantitative structure activity/property models (QSAR/QSPR), where machine learning techniques are introduced (to be covered in Chapter 1) and quantum chemistry, used to explain chemical structure, properties and reactivity. This thesis is divided into five parts. Chapter 1 starts with an outline of the early stages of drug discovery; introducing the use of virtual screening for hit and lead identification. Such approaches may roughly be divided into structure-based (docking, by far the most often referred to) and ligand-based, leading to a set of promising compounds for further evaluation. Then, the use of machine learning techniques, the issue of which will be frequently encountered, followed by a brief review of the "no free lunch" theorem, that describes how no learning algorithm can perform optimally on all problems. This implies that validation of predictive accuracy in multiple models is required for optimal model selection. As the dimensionality of the feature space increases, the issue referred to as "the curse of dimensionality" becomes a challenge. In closing, the last sections focus on supervised classification Random Forests. Computer-based analyses are an integral part of drug discovery. Chapter 2 begins with discussions of molecular docking; including strategies incorporating protein flexibility at global and local levels, then a specific focus on an automated docking program – AutoDock, which uses a Lamarckian genetic algorithm and empirical binding free energy function. In the second part of the chapter, a brief introduction of molecular dynamics will be given. Chapter 3 describes how we constructed a dataset of known binding sites with co-crystallised ligands, used to extract features characterising the structural and chemical properties of the binding pocket. A machine learning algorithm was adopted to create a three-way predictive model, capable of assigning each case to one of the classes (regular, orthosteric and allosteric) for in silico selection of allosteric sites, and by a feature selection algorithm (Gini) to rationalize the selection of important descriptors, most influential in classifying the binding pockets. In Chapter 4, we made use of structure-based virtual screening, and we focused on docking a fluorescent sensor to a non-canonical DNA quadruplex structure. The preferred binding poses, binding site, and the interactions are scored, followed by application of an ONIOM model to re-score the binding poses of some DNA-ligand complexes, focusing on only the best pose (with the lowest binding energy) from AutoDock. The use of a pre-generated conformational ensemble using MD to account for the receptors' flexibility followed by docking methods are termed “relaxed complex” schemes. Chapter 5 concerns the BLUF domain photocycle. We will be focused on conformational preference of some critical residues in the flavin binding site after a charge redistribution has been introduced. This work provides another activation model to address controversial features of the BLUF domain.
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Bühler, Christof Andreas. "Picosecond pulse spectroscopy of biomolecules /." [S.l.] : [s.n.], 1995. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=11086.

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Weibrecht, Irene. "Visualizing Interacting Biomolecules In Situ." Doctoral thesis, Uppsala universitet, Molekylära verktyg, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-151579.

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Intra- and intercellular information is communicated by posttranslational modifications (PTMs) and protein-protein interactions, transducing information over cell membranes and to the nucleus. A cells capability to respond to stimuli by several highly complex and dynamic signaling networks provides the basis for rapid responses and is fundamental for the cellular collaborations required in a multicellular organism. Having received diverse stimuli, being positioned at various stages of the cell cycle or, for the case of cancer, containing altered genetic background, each cell in a population is slightly different from its neighbor. However, bulk analyses of interactions will only reveal an average, but not the true variation within a population. Thus studies of interacting endogenous biomolecules in situ are essential to acquire a comprehensive view of cellular functions and communication. In situ proximity ligation assay (in situ PLA) was developed to investigate individual endogenous protein-protein interactions in fixed cells and tissues and was later applied for detection for PTMs. Progression of signals in a pathway can branch out in different directions and induce expression of different target genes. Hence simultaneous measurement of protein activity and gene expression provides a tool to determine the balance and progression of these signaling events. To obtain this in situ PLA was combined with padlock probes, providing an assay that can interrogate both PTMs and mRNA expression at a single cell level. Thereby different nodes of the signaling pathway as well as drug effects on different types of molecules could be investigated simultaneously. In addition to regulation of gene expression, protein-DNA interactions present a mechanism to manage accessibility of the genomic DNA in an inheritable manner, providing the basis for lineage commitment, via e.g. histone PTMs. To enable analyses of protein-DNA interactions in situ we developed a method that utilizes the proximity dependence of PLA and the sequence selectivity of padlock probes. This thesis presents new methods providing researchers with a set of tools to address cellular functions and communication in complex microenvironments, to improve disease diagnostics and to contribute to hopefully finding cures.
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Rożkiewicz, Dorota Idalia. "Covalent microcontact printing of biomolecules." Enschede : University of Twente [Host], 2007. http://doc.utwente.nl/58030.

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Brookman, Jennifer. "Photochemical studies on selected biomolecules." Thesis, University of the West of Scotland, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.398322.

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Books on the topic "Biomolecules"

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Gupta, Vijai Kumar, Robert L. Mach, and S. Sreenivasaprasad, eds. Fungal Biomolecules. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118958308.

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Jameson, David M., and Gregory D. Reinhart, eds. Fluorescent Biomolecules. Springer US, 1989. http://dx.doi.org/10.1007/978-1-4684-5619-6.

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Kuwajima, Kunihiro, Yuji Goto, Fumio Hirata, Mikio Kataoka, and Masahide Terazima, eds. Water and Biomolecules. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-88787-4.

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Bertini, Ivano, Kathleen S. McGreevy, and Giacomo Parigi, eds. NMR of Biomolecules. Wiley-VCH Verlag GmbH & Co. KGaA, 2012. http://dx.doi.org/10.1002/9783527644506.

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Chikayoshi, Nagata, ed. Biomolecules: Electronic aspects. Japan Scientific Societies Press, 1985.

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1922-, Nagata Chikayoshi, ed. Biomolecules: Elecronic aspects. Japan Scientific Societies Press, 1985.

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Smith, Bradley, ed. Synthetic Receptors for Biomolecules. Royal Society of Chemistry, 2015. http://dx.doi.org/10.1039/9781782622062.

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Volpi, Nicola, and Francesca Maccari, eds. Capillary Electrophoresis of Biomolecules. Humana Press, 2013. http://dx.doi.org/10.1007/978-1-62703-296-4.

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Kessler, Christoph, ed. Nonradioactive Analysis of Biomolecules. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57206-7.

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Peyrard, M., ed. Nonlinear Excitations in Biomolecules. Springer Berlin Heidelberg, 1995. http://dx.doi.org/10.1007/978-3-662-08994-1.

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Book chapters on the topic "Biomolecules"

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Ahluwalia, V. K. "Biomolecules." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-1.

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Ahluwalia, V. K. "Amino Acids, Peptides and Proteins." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-3.

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Ahluwalia, V. K. "Carbohydrates." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-2.

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Ahluwalia, V. K. "Vitamins." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-5.

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Ahluwalia, V. K. "Prostaglandins." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-7.

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Ahluwalia, V. K. "Alkaloids." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-11.

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Ahluwalia, V. K. "Some Simple Biomolecules." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-14.

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Ahluwalia, V. K. "Porphyrins." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-12.

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Ahluwalia, V. K. "Enzymes." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-4.

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Ahluwalia, V. K. "Nucleic Acids." In Biomolecules. CRC Press, 2024. http://dx.doi.org/10.1201/9781003494553-6.

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Conference papers on the topic "Biomolecules"

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Inose, Tomoko. "Plasmonic nanowire based intracellular material delivery." In JSAP-Optica Joint Symposia. Optica Publishing Group, 2024. https://doi.org/10.1364/jsapo.2024.16p_b4_1.

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The technology for introducing biomolecules such as proteins and DNA into cells is widely used as a method to artificially control cell functions, ranging from basic biology to the pharmaceutical field. Methods employing liposomes, viral vectors, and the electroporation have been currently widely used, although these methods show low introduction efficiency or cell toxicity to some cell types. Another method for introducing biomolecules into cells is microinjection.1) This method physically introduces micro/nano needles directly into the cells, ensuring that biomolecules are reliably delivered within a cell.
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van der Weide, D. W., Min Ki Choi, Kimberly Taylor, and Alan Bettermann. "Sensing Biomolecules with Microwave and Terahertz Frequencies." In 16th International Zurich Symposium and Technical Exposition on Electromagnetic Compatibility. IEEE, 2005. https://doi.org/10.23919/emc.2005.10806331.

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Xu, Xitan, Yao Lu, Xinda Jiang, Qiang Wu, and Jingjun Xu. "On-chip integrated terahertz sensing platform for biomolecules." In CLEO: Science and Innovations. Optica Publishing Group, 2024. http://dx.doi.org/10.1364/cleo_si.2024.sm2p.2.

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We present an integrated terahertz sensing platform on lithium niobate chips, with antenna arrays that guide terahertz waves transmission and enhance interaction with biomolecules. Its sensing performance is demonstrated through spectrum and dispersion relations.
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Vimala, P., T. S. Arun Samuel, S. V. S. Rohith, Sourabh Konkala, E. Muthu Kumaran, and N. R. Nithin Kumar. "Design of AlGaN/GaN HEMT for Biomolecules Recognition." In 2024 8th International Conference on Electronics, Communication and Aerospace Technology (ICECA). IEEE, 2024. https://doi.org/10.1109/iceca63461.2024.10801037.

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Murray, Kermit K., Michelle D. Beeson, and David H. Russell. "Laser Ionization of Biomolecules in Solution." In Laser Applications to Chemical Analysis. Optica Publishing Group, 1994. http://dx.doi.org/10.1364/laca.1994.tha.5.

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Many powerful laser based methods are unavailable for the analysis of molecules in solution. Techniques for the analysis of liquids are particularly important for the study of biomolecules, whose natural environment is a water solution. Mass spectrometry is a powerful analytical technique, but liquids and mass spectrometers are fundamentally incompatible. We have developed a technique for laser ionization of biomolecules in solution by applying matrix-assisted laser desorption ionization (MALDI) to liquid aerosols. In the typical MALDI experiment, the analyte biomolecule is deposited from solution onto a metal surface with a 100 to 50,000 molar excess of a suitable matrix, usually a UV absorbing organic acid.1 The solvents are allowed to evaporate and the sample is inserted into the source region of a mass spectrometer. Light from a pulsed laser is absorbed by the matrix causing both ablation of the surface and ionization of the intact biomolecule. In the aerosol MALDI experiment, 2,3 the analyte biomolecule is dissolved in a methanol solution with an ultraviolet absorbing matrix. The aerosol is sprayed into vacuum, desolvated, and ionized by pulsed UV laser radiation. The ions are mass separated in a time-of-flight (TOF) mass spectrometer. Aerosol MALDI mass spectra have been obtained for a variety of peptides and proteins with molecular weights as large as 80,000. We have used aerosol MALDI as a liquid chromatography detection method4 (LC/MS) and as a probe of aerosol and cluster chemistry.5 This paper gives a general description of aerosol MALDI and discusses some recent results for peptide and protein ionization.
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Arbon, Robert E., Alex J. Jones, Lars A. Bratholm, Tom Mitchell, and David R. Glowacki. "Sonifying Stochastic Walks on Biomolecular Energy Landscapes." In The 24th International Conference on Auditory Display. The International Community for Auditory Display, 2018. http://dx.doi.org/10.21785/icad2018.032.

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Translating the complex, multi-dimensional data produced by simulations of biomolecules into an intelligible form is a major challenge in computational chemistry and biology. The so-called “free energy landscape” is amongst the most fundamental concepts used by scientists to understand both static and dynamic properties of biomolecular systems. In this paper we use Markov models to design a strategy for mapping features of this landscape to sonic parameters, for use in conjunction with visual display techniques such as structural animations and free energy diagrams. This allows for concurrent visual display of the physical configuration of a biomolecule and auditory display of characteristics of the corresponding free energy landscape. The resulting sonification provides information about the relative free energy features of a given configuration including its stability.
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Tao, Zunyu, Elizabeth C. Tehan, Rachel M. Bukowski, et al. "Biomolecule-less sensors for biomolecules based on templated xerogel platforms." In Photonics North 2005, edited by Warren C. W. Chan, Kui Yu, Ulrich J. Krull, Richard I. Hornsey, Brian C. Wilson, and Robert A. Weersink. SPIE, 2005. http://dx.doi.org/10.1117/12.629169.

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Baranov, Maksim, Elina Nepomyashchaya, and Elena Velichko. "Computer Simulation of Biomolecules Around Metallic Nanoparticle for Biomolecular Electronics." In 2021 International Conference on Electrical Engineering and Photonics (EExPolytech). IEEE, 2021. http://dx.doi.org/10.1109/eexpolytech53083.2021.9614741.

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Costa Neto, Luis H., Sergio Lifschitz, Marcos Catanho, Antônio B. de Miranda, and Edward H. Haeusler. "Towards a Simpler Semantics for Systems Biology." In Simpósio Brasileiro de Bioinformática. Sociedade Brasileira de Computação, 2024. https://doi.org/10.5753/bsb.2024.245579.

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Computational semantics for molecular biology was introduced to assign activities to biomolecules based on their interactions with environments and other biomolecules. We distinguish between activity and biological function towards an epistemologically neutral semantics that aligns with computational processes. Object Petri Nets (OPNs) represent complex biomolecular activities as compositions of interactions at the nucleotide level. This article introduces a way to transform the networks that shows the equivalence between OPNs and simple Place/Transition (P/T) nets while preserving their semantics. It gives an intuitive understanding of this equivalence and shows OPNs implemented on P/T PNs.
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Pishkenari, H. Nejat, S. H. Mahboobi, M. A. Mahjour, and A. Meghdari. "Simulation of Biomanipulation Using Molecular Dynamics." In ASME 2012 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/imece2012-86804.

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In this paper, the simulation of biomolecules manipulation using molecular dynamics (MD) is studied. In order to investigate the manipulation behavior, we have used the ubiquitin as biomolecule, a single-walled carbon nanotube (SWCNT) as manipulation probe, a two-layer graphene sheet as substrate. Along this line, a series of simulations are conducted to study the effects of different conditions on the success of manipulation process. These conditions include tip diameter, vertical gap between the tip and substrate, initial orientation of protein, and the tip position with respect to the biomolecule.
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Reports on the topic "Biomolecules"

1

Jacobson, Joseph. Radio Frequency (RF) Biomolecules. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada441170.

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López-Valverde, Nansi, Javier Aragoneses, Antonio López-Valverde, Cinthia Rodríguez, and Juan Manuel Aragoneses. Role in the osseointegration of titanium dental implants, of bioactive surfaces based on biomolecules: A systematic review and meta-analysis of in vivo studies. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.6.0076.

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Review question / Objective: Does the bioactive surface of titanium dental implants, based on biomolecules, influence osseointegration?. The aim of our study was to evaluate the role and efficacy of bioactive surfaces in osseointegration. Our review study limited the research interest to titanium dental implants coated with a biomolecule, i.e., an organic molecule produced by a living organism. Condition being studied: In recent years, much attention has been paid to topographical modifications of dental implant surfaces, as well as to their coating with biologically active substances.a bioactive surface is one capable of achieving faster and higher quality osseointegration, shortening waiting times and solving situations of poor bone quality. Molecules that can be applied for bioactive purposes include bioceramics, ions and biomolecules. Collagen and bone morphogenetic protein have been suggested as bone stimulating agents. Biofunctionalization of the implant surface with a biomimetic active peptide has also been shown to result in a significant increase in bone-to-implant ratios and an increase in peri-implant bone density.
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Frauenfelder, H., J. R. Berendzen, A. Garcia, et al. Structure, dynamics, and function of biomolecules. Office of Scientific and Technical Information (OSTI), 1998. http://dx.doi.org/10.2172/674922.

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Doktycz, M. J. Dual Manifold System for Arraying Biomolecules. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/814531.

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Reichert, D. E., and P. J. A. Kenis. Microfluidic Radiometal Labeling Systems for Biomolecules. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1032377.

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Honig, Barry. Solvent Effects on the Stability of Biomolecules. Defense Technical Information Center, 1999. http://dx.doi.org/10.21236/ada362486.

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Ruehlicke, C., D. Schneider, R. Balhorn, and R. DuBois. Fragmentation of biomolecules using slow highly charged ions. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/464547.

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Bajaj, Chandrajit L. Modeling and Visualization for Polymers, Surfaces and Biomolecules. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada336368.

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Spoerke, Erik David, Gayle Echo Thayer, Maarten Pieter de Boer, et al. Assembly and actuation of nanomaterials using active biomolecules. Office of Scientific and Technical Information (OSTI), 2005. http://dx.doi.org/10.2172/875628.

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Ratilla, E. Platinum(II) complexes as spectroscopic probes for biomolecules. Office of Scientific and Technical Information (OSTI), 1990. http://dx.doi.org/10.2172/6491206.

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