Relevant bibliographies by topics / Structural bio-Informatics

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Structural bio-Informatics'

Author: Grafiati
Published: 8 June 2024
Last updated: 31 July 2025

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Journal articles on the topic "Structural bio-Informatics"

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Kousar, Begum* Zarafsha Abbas Nukala Umasri K. Mounika. "ADVANCED COMPUTATIONAL STRUCTURAL INFORMATICS BY STEREOLITHOGRAPHY – A 3D PRINTING." INDO AMERICAN JOURNAL OF PHARMACEUTICAL SCIENCES 05, no. 01 (2018): 492–501. https://doi.org/10.5281/zenodo.1161659.

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Computational Structural Informatics is the discipline of science which investigates the structure and properties of scientific information, as well as the regularities and scientific information activity, its theory, history, methodology and organisation. The use of computers in solving information problems in the life sciences, mainly, it involves the creation of extensive electronic databases on structural informatics like 2D printing etc. Secondarily, it involves techniques such as the three-dimensional modelling of biomolecules and biologic systems. It is also used largely for the identif
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Et. al., Ravi Kumar A,. "A Review on Design and Development of Performance Evaluation Model for Bio-Informatics Data Using Hadoop." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 1546–63. http://dx.doi.org/10.17762/turcomat.v12i2.1432.

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The paper reviews the usage of the platform Hadoop in applications for systemic bioinformatics. Hadoop offers another system for Structural Bioinformatics to break down broad fractions of the Protein Data Bank that is crucial to high-throughput investigations of (for example) protein-ligand docking, protein-ligand complex clustering, and structural alignment. In specific, we review different applications of high-throughput analyses and their scalability in the literature using Hadoop. In comparison to revising the algorithms, we find that these organisations typically use a realized executable
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Lakhrissi, Younes, Mohamed Rbaa, Burak Tuzun, et al. "Synthesis, structural confirmation, antibacterial properties and bio-informatics computational analyses of new pyrrole based on 8-hydroxyquinoline." Journal of Molecular Structure 1259 (July 2022): 132683. http://dx.doi.org/10.1016/j.molstruc.2022.132683.

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Shimizu, Nobutaka, Shinya Saijyo, Hiromasa Ota, et al. "3P015 Bio-SAXS in the Platform for Drug Discovery, Informatics, and Structural Life Science (PDIS)(01A. Protein: Structure,Poster)." Seibutsu Butsuri 53, supplement1-2 (2013): S214. http://dx.doi.org/10.2142/biophys.53.s214_3.

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Rahman, Monzilur, and Md Masud Parvege. "In silico structural analysis of Hantaan virus glycoprotein G2 and conserved epitope prediction for vaccine development." Journal of Applied Virology 3, no. 3 (2014): 62. http://dx.doi.org/10.21092/jav.v3i3.38.

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<p>Hantaan virus (HNTV) is an etiological agent of potentially fatal hemorrhagic fever with renal syndrome (HFRS). The virus infects a large number of patients annually with a mortality rate more than 10%. However, no treatment option or vaccine is available against the virus. Between two envelope proteins, HNTV glycoprotein G2 has higher antigenicity making it a better target for vaccine development. However, 3-D structure of the protein is not available which is important for identifying epitopes that are essential for vaccine design. Therefore, this study was designed to predict a str
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George Priya Doss, C., C. Sudandiradoss, R. Rajasekaran, Rituraj Purohit, K. Ramanathan, and Rao Sethumadhavan. "Identification and structural comparison of deleterious mutations in nsSNPs of ABL1 gene in chronic myeloid leukemia: A bio-informatics study." Journal of Biomedical Informatics 41, no. 4 (2008): 607–12. http://dx.doi.org/10.1016/j.jbi.2007.12.004.

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Kumar, Archana, T. B. Sridharn, and Kamini A. Rao. "Role of Seminal Plasma Proteins in Effective Zygote Formation- A Success Road to Pregnancy." Protein & Peptide Letters 26, no. 4 (2019): 238–50. http://dx.doi.org/10.2174/0929866526666190208112152.

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Seminal plasma proteins contributed by secretions of accessory glands plays a copious role in fertilization. Their role is overlooked for decades and even now, as Artificial Reproduction Techniques (ART) excludes the plasma components in the procedures. Recent evidences suggest the importance of these proteins starting from imparting fertility status to men, fertilization and till successful implantation of the conceptus in the female uterus. Seminal plasma is rich in diverse proteins, but a major part of the seminal plasma is constituted by very lesser number of proteins. This makes isolation
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Gheraibia, Youcef, Abdelouahab Moussaoui, Youcef Djenouri, Sohag Kabir, Peng-Yeng Yin, and Smaine Mazouzi. "Penguin Search Optimisation Algorithm for Finding Optimal Spaced Seeds." International Journal of Software Science and Computational Intelligence 7, no. 2 (2015): 85–99. http://dx.doi.org/10.4018/ijssci.2015040105.

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This paper develops PeSeeD, a new metaheuristic algorithm for finding optimal spaced seed. Sequences matching is a hot topic in bio-informatics, which is used in many applications such as understanding the functional, structural, or evolutionary relationships between the sequences. The most relevant sequences matching methods are based on seeds designed to match two biological sequences. The first approach which introduced seeds was facilitated via Blastn tool, the approach builds seeds of 11 length size. However, it is clear that not all local alignments have to include an identical fragment
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Javed, Ambreen, Gulshan Ara Trali, Hassan Burair Abbas, and Alia Sadiq. "IN SILICO CHARACTERIZATION OF HUMAN INTERFERON ALPHA/BETA RECEPTOR 2 (ISOFORM A, B AND C) PROTEIN." PAFMJ 71, no. 6 (2021): 2091–94. http://dx.doi.org/10.51253/pafmj.v71i6.6571.

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Objective: To predict the tertiary structure of human interferon alpha/beta receptor 2 protein.
 Study Design: Structure prediction by using bio informatics tools.
 Place and Duration of Study: Department of Biochemistry, Swat Medical College (STMC), Saidu Shareef, Swat, Pakistan, from Aug 2019 to Dec 2019.
 Methodology: All protein sequences of human interferon alpha/beta receptor 2 (isoforma, b and c) (IFNAR-2) were retrieved through the BLAST search (The Basic Local Alignment Search Tool) from available databases ‘NCBI’ (National Centre for Biotechnology Information) and ‘Uni
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Lakhrissi, Younes, Mohamed Rbaa, Burak Tuzun, et al. "Corrigendum to ‘Synthesis, Structural confirmation, Antibacterial Properties and Bio-Informatics Computational Analyses of New Pyrrole Based on 8-Hydroxyquinoline’ Journal of Molecular Structure 1259 (2022) 132683." Journal of Molecular Structure 1280 (May 2023): 134988. http://dx.doi.org/10.1016/j.molstruc.2023.134988.

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Dissertations / Theses on the topic "Structural bio-Informatics"

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Moniot, Antoine. "Modélisation 3D de complexes ARN-protéine par assemblage combinatoire de fragments structuraux." Electronic Thesis or Diss., Université de Lorraine, 2022. http://www.theses.fr/2022LORR0339.

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La caractérisation des complexes ARN-protéine à l'échelle atomique nous permet de mieux comprendre les fonctions de ces complexes, et de définir des cibles thérapeutiques pour réguler les phénomènes biologiques auxquels ils participent. L'objet de cette thèse est de développer des outils permettant de prédire la structure d'un complexe protéine-ARN lorsque l'on connaît une structure 3D de la protéine ainsi que la structure secondaire de la partie d'ARN en interaction. Nous nous concentrons sur le cas où l'ARN est principalement sous forme simple brin (nucléotides non appariés), posant la diffi
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Taveneau, Cyntia. "Modélisation, purification et caractérisation des modules et domaines de la PI4KA humaine." Thesis, Paris 11, 2015. http://www.theses.fr/2015PA114827/document.

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La phosphatidylinositol-4-kinase de type IIIα est une kinase de lipide eukaryote ubiquitaire qui synthétise le phosphatidylinositol-4-phosphate PtdIns(4)P de la membrane plasmique. Ce phosphoinositide est d’autant plus important qu’il tient un rôle majeur dans différentes voies de signalisation cellulaire, le traffic vésiculaire ainsi que dans l’identité des organelles. De plus, la PIK4A humaine est un facteur essentiel pour la réplication du virus de l’hépatite C (VHC). En effet, le recrutement du complexe de réplication du VHC par la protéine virale NS5A à la membrane du reticulum endoplasmi
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Book chapters on the topic "Structural bio-Informatics"

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Zhou, Linfei, Elisabeth Georgii, Claudia Plant, and Christian Böhm. "Covariate-Related Structure Extraction from Paired Data." In Information Technology in Bio- and Medical Informatics. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-43949-5_11.

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Lu, Jing, Alan Hales, and David Rew. "Modelling of Cancer Patient Records: A Structured Approach to Data Mining and Visual Analytics." In Information Technology in Bio- and Medical Informatics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64265-9_4.

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Rudolfova, Ivana, Jaroslav Zendulka, and Matej Lexa. "Clustering of Protein Substructures for Discovery of a Novel Class of Sequence-Structure Fragments." In Information Technology in Bio- and Medical Informatics, ITBAM 2010. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15020-3_9.

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S., Karthigai Selvi. "Structural and Functional Data Processing in Bio-Computing and Deep Learning." In Research Anthology on Bioinformatics, Genomics, and Computational Biology. IGI Global, 2023. http://dx.doi.org/10.4018/979-8-3693-3026-5.ch066.

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The goal of new biocomputing research is to comprehend bio molecules' structures and functions via the lens of biofuturistic technologies. The amount of data generated every day is tremendous, and data bases are growing exponentially. A majority of computational researchers have been using machine learning for the analysis of bio-informatics data sets. This chapter explores the relationship between deep learning algorithms and the fundamental biological concepts of protein structure, phenotypes and genotype, proteins and protein levels, and the similarities and differences between popular deep
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S., Karthigai Selvi. "Structural and Functional Data Processing in Bio-Computing and Deep Learning." In Structural and Functional Aspects of Biocomputing Systems for Data Processing. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-6523-3.ch010.

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The goal of new biocomputing research is to comprehend bio molecules' structures and functions via the lens of biofuturistic technologies. The amount of data generated every day is tremendous, and data bases are growing exponentially. A majority of computational researchers have been using machine learning for the analysis of bio-informatics data sets. This chapter explores the relationship between deep learning algorithms and the fundamental biological concepts of protein structure, phenotypes and genotype, proteins and protein levels, and the similarities and differences between popular deep
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Raghunath Sushravya, Rajagopalan Srinivasan, Karwoski Ronald A., Larson Alan G., Bartholmai Brian J., and Robb Richard A. "Detail-on-Demand Visualization for Lean Understanding of Lung Abnormalities." In Studies in Health Technology and Informatics. IOS Press, 2012. https://doi.org/10.3233/978-1-61499-022-2-362.

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In some respects, the lung is an anatomical bog - having limited referential landmarks. Nonetheless, precise understanding of the abnormalities that inflict this organ is crucial to effective clinical diagnosis and treatment. However, wading interactively through a three-dimensional scan of the lung poses a visual quagmire to the radiologist, resulting in significant interpretive differences due to inter and intra observer variation. Despite the continuing progress in quantitative imaging, lack of unambiguous visualization with accurately, relevant cues severely hinders the clinical adoption o
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YAMATO, ICHIRO. "FROM STRUCTURE AND FUNCTION OF PROTEINS TOWARDIN SILICOBIOLOGY." In Quantum Bio-Informatics V. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814460026_0040.

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HARA, TOSHIHIDE, KEIKO SATO, and MASANORI OHYA. "PROTEIN SEQUENCE ALIGNMENT TAKING THE STRUCTURE OF PEPTIDE BOND." In Quantum Bio-Informatics V. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814460026_0015.

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Raghupathi, Wullianallur, and Sridhar Nerur. "The Intellectual Structure of Health and Medical Informatics." In Advancing Technologies and Intelligence in Healthcare and Clinical Environments Breakthroughs. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-1755-1.ch001.

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This paper presents the results of an author co-citation analysis of the health and medical informatics discipline. It updates a smaller study that focused on health information systems. Drawing on such sub-fields as bio informatics, clinical decision support systems, computational genomics, e-health, health informatics, and others, this body of knowledge defines the core internal structure of the discipline and delineates its sub-fields. An author co-citation analysis was performed for a nine-year period using the members of editorial boards of several medical informatics-related journals as
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ORYU, SHINSHO. "LONG-RANGE PROPERTY IN TIME-DEPENDENT INTERACTION WITH THREE-BODY STRUCTURE AND NEW ASPECT." In Quantum Bio-Informatics V. WORLD SCIENTIFIC, 2013. http://dx.doi.org/10.1142/9789814460026_0022.

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Conference papers on the topic "Structural bio-Informatics"

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Rizwan, Muhammad, Po Tsang B. Huang, and Mehboob Ali. "A Bi-Fold Multi-Classification Scheme for Brain Tumor Using Deep Convolutional Neural Network." In 14th International Seminar on Industrial Engineering and Management. Trans Tech Publications Ltd, 2025. https://doi.org/10.4028/p-mk5lge.

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A brain tumor is an uncontrolled and unstructured growth of brain cells inside the skull. Most of the time, tumors are misclassified due to the complexity of the lesion and as a result, the survival rate of the patient effects adversely. Magnetic resonance imaging (MRI) is usually used to identify various types of brain tumors. Due to the advancement in computer-aided systems and bio-informatics ML and DL algorithms has been applied to assist neurologist in decision-making. However, the current techniques are error-prone and time-consuming. Therefore, a Bi-fold CNN model for tumor detection an
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SAHA, ACHINTYA, and TABASSUM HOSSAIN. "Molecular modeling studies for exploring structural requirement of acetylcholinesterase inhibitors." In Fourth International Conference on Advances in Bio-Informatics and Environmental Engineering - ICABEE 2016. Institute of Research Engineers and Doctors, 2016. http://dx.doi.org/10.15224/978-1-63248-100-9-17.

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ZUNIGA, ALEJANDRO, ARYANE TOFANELLO, CARLOS E, et al. "Self assembled complexes of multibranched gold nanoparticles with porphyrins used in photodynamic therapy Spectral and structural characterization." In Second International Conference on Advances in Bio-Informatics and Environmental Engineering - ICABEE 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-043-9-102.

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Mukherjee, Sudipta, Somnath Chakraborty, Deven Diwakar, Apurba Laha, Udayan Ganguly, and Swaroop Ganguly. "Investigation of Structural Parameter Variation on Extended Gate TFET for Bio-Sensor Applications." In 2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI). IEEE, 2020. http://dx.doi.org/10.23919/eecsi50503.2020.9251884.

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SUZUKI, TOMONORI, and SATORU MIYAZAKI. "IN SILICO ANALYSIS FOR THE STUDY OF BOTULINUM TOXIN STRUCTURE." In From Quantum Information to Bio-Informatics. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814304061_0039.

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CAKAN, BANU, SAIT BASARAN, SEVIM AKYUZ, and TANIL AKYUZ. "Protein Structure Predictions of historical silk textiles by ATR FTIR spectroscopy." In Third International Conference on Advances in Bio-Informatics, Bio-Technology and Environmental Engineering- ABBE 2015. Institute of Research Engineers and Doctors, 2015. http://dx.doi.org/10.15224/978-1-63248-060-6-09.

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Pisal, Amit, and Rabinder Henry. "Thermo-Optic switch: Device structure and design." In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538293.

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Mishra, Loveneet, Sampath Kumar V, and Sangeeta Mangesh. "Design and implementation of low power SRAM structure using nanometer scale." In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538407.

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Ramesh, M., V. Rajya Lakshmi, and P. Mallikarjuna Rao. "Investigation on UWB kite shape textile antenna with Defective Ground Structure." In 2017 Third International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2017. http://dx.doi.org/10.1109/aeeicb.2017.7972374.

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Arabi, Punal M., Prathibha T.P, Vamsha Deepa N, and AbhikRaj Subedi. "Identifying honeycombing structure in HRCT lung images by high intensity pixel pattern." In 2016 2nd International Conference on Advances in Electrical, Electronics, Information, Communication and Bio-Informatics (AEEICB). IEEE, 2016. http://dx.doi.org/10.1109/aeeicb.2016.7538336.

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