Relevant bibliographies by topics / Algorithms- Protein

Contents

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

Academic literature on the topic 'Algorithms- Protein'

Author: Grafiati
Published: 6 September 2023
Last updated: 31 July 2025

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Algorithms- Protein.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Algorithms- Protein"

1

Cavanaugh, David, and Krishnan Chittur. "A hydrophobic proclivity index for protein alignments." F1000Research 4 (October 21, 2015): 1097. http://dx.doi.org/10.12688/f1000research.6348.1.

Full text
Abstract:
Sequence alignment algorithms are fundamental to modern bioinformatics. Sequence alignments are widely used in diverse applications such as phylogenetic analysis, database searches for related sequences to aid identification of unknown protein domain structures and classification of proteins and protein domains. Additionally, alignment algorithms are integral to the location of related proteins to secure understanding of unknown protein functions, to suggest the folded structure of proteins of unknown structure from location of homologous proteins and/or by locating homologous domains of known
APA, Harvard, Vancouver, ISO, and other styles
2

Cavanaugh, David, and Krishnan Chittur. "A hydrophobic proclivity index for protein alignments." F1000Research 4 (October 15, 2020): 1097. http://dx.doi.org/10.12688/f1000research.6348.2.

Full text
Abstract:
Sequence alignment algorithms are fundamental to modern bioinformatics. Sequence alignments are widely used in diverse applications such as phylogenetic analysis, database searches for related sequences to aid identification of unknown protein domain structures and classification of proteins and protein domains. Additionally, alignment algorithms are integral to the location of related proteins to secure understanding of unknown protein functions, to suggest the folded structure of proteins of unknown structure from location of homologous proteins and/or by locating homologous domains of known
APA, Harvard, Vancouver, ISO, and other styles
3

Hulianytskyi, Leonid, and Sergii Chornozhuk. "Genetic Algorithm with New Stochastic Greedy Crossover Operator for Protein Structure Folding Problem." Cybernetics and Computer Technologies, no. 2 (July 24, 2020): 19–29. http://dx.doi.org/10.34229/2707-451x.20.2.3.

Full text
Abstract:
Introduction. The spatial protein structure folding is an important and actual problem in biology. Considering the mathematical model of the task, we can conclude that it comes down to the combinatorial optimization problem. Therefore, genetic and mimetic algorithms can be used to find a solution. The article proposes a genetic algorithm with a new greedy stochastic crossover operator, which differs from classical approaches with paying attention to qualities of possible ancestors. The purpose of the article is to describe a genetic algorithm with a new greedy stochastic crossover operator, re
APA, Harvard, Vancouver, ISO, and other styles
4

Begleiter, R., R. El-Yaniv, and G. Yona. "On Prediction Using Variable Order Markov Models." Journal of Artificial Intelligence Research 22 (December 1, 2004): 385–421. http://dx.doi.org/10.1613/jair.1491.

Full text
Abstract:
This paper is concerned with algorithms for prediction of discrete sequences over a finite alphabet, using variable order Markov models. The class of such algorithms is large and in principle includes any lossless compression algorithm. We focus on six prominent prediction algorithms, including Context Tree Weighting (CTW), Prediction by Partial Match (PPM) and Probabilistic Suffix Trees (PSTs). We discuss the properties of these algorithms and compare their performance using real life sequences from three domains: proteins, English text and music pieces. The comparison is made with respect to
APA, Harvard, Vancouver, ISO, and other styles
5

Wang, Caixia, Rongquan Wang, and Kaiying Jiang. "A Method for Detecting Overlapping Protein Complexes Based on an Adaptive Improved FCM Clustering Algorithm." Mathematics 13, no. 2 (2025): 196. https://doi.org/10.3390/math13020196.

Full text
Abstract:
A protein complex can be regarded as a functional module developed by interacting proteins. The protein complex has attracted significant attention in bioinformatics as a critical substance in life activities. Identifying protein complexes in protein–protein interaction (PPI) networks is vital in life sciences and biological activities. Therefore, significant efforts have been made recently in biological experimental methods and computing methods to detect protein complexes accurately. This study proposed a new method for PPI networks to facilitate the processing and development of the followi
APA, Harvard, Vancouver, ISO, and other styles
6

Wang, Derui, and Jingyu Hou. "Explore the hidden treasure in protein–protein interaction networks — An iterative model for predicting protein functions." Journal of Bioinformatics and Computational Biology 13, no. 05 (2015): 1550026. http://dx.doi.org/10.1142/s0219720015500262.

Full text
Abstract:
Protein–protein interaction networks constructed by high throughput technologies provide opportunities for predicting protein functions. A lot of approaches and algorithms have been applied on PPI networks to predict functions of unannotated proteins over recent decades. However, most of existing algorithms and approaches do not consider unannotated proteins and their corresponding interactions in the prediction process. On the other hand, algorithms which make use of unannotated proteins have limited prediction performance. Moreover, current algorithms are usually one-off predictions. In this
APA, Harvard, Vancouver, ISO, and other styles
7

Moschopoulos, Charalampos, Grigorios Beligiannis, Spiridon Likothanassis, and Sophia Kossida. "Using a Genetic Algorithm and Markov Clustering on Protein–Protein Interaction Graphs." International Journal of Systems Biology and Biomedical Technologies 1, no. 2 (2012): 35–47. http://dx.doi.org/10.4018/ijsbbt.2012040103.

Full text
Abstract:
In this paper, a Genetic Algorithm is applied on the filter of the Enhanced Markov Clustering algorithm to optimize the selection of clusters having a high probability to represent protein complexes. The filter was applied on the results (obtained by experiments made on five different yeast datasets) of three different algorithms known for their efficiency on protein complex detection through protein interaction graphs. The results are compared with three popular clustering algorithms, proving the efficiency of the proposed method according to metrics such as successful prediction rate and geo
APA, Harvard, Vancouver, ISO, and other styles
8

Khatami, Mohammad Hassan, Udson C. Mendes, Nathan Wiebe, and Philip M. Kim. "Gate-based quantum computing for protein design." PLOS Computational Biology 19, no. 4 (2023): e1011033. http://dx.doi.org/10.1371/journal.pcbi.1011033.

Full text
Abstract:
Protein design is a technique to engineer proteins by permuting amino acids in the sequence to obtain novel functionalities. However, exploring all possible combinations of amino acids is generally impossible due to the exponential growth of possibilities with the number of designable sites. The present work introduces circuits implementing a pure quantum approach, Grover’s algorithm, to solve protein design problems. Our algorithms can adjust to implement any custom pair-wise energy tables and protein structure models. Moreover, the algorithm’s oracle is designed to consist of only adder func
APA, Harvard, Vancouver, ISO, and other styles
9

Shirmohammady, Naeem, Habib Izadkhah, and Ayaz Isazadeh. "PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm." Complexity 2021 (March 25, 2021): 1–14. http://dx.doi.org/10.1155/2021/2132516.

Full text
Abstract:
Comprehensive analysis of proteins to evaluate their genetic diversity, study their differences, and respond to the tensions is the main subject of an interdisciplinary field of study called proteomics. The main objective of the proteomics is to detect and quantify proteins and study their post-translational modifications and interactions using protein chemistry, bioinformatics, and biology. Any disturbance in proteins interactive network can act as a source for biological disorders and various diseases such as Alzheimer and cancer. Most current computational methods for discovering protein co
APA, Harvard, Vancouver, ISO, and other styles
10

Niazi, Sarfaraz K., Zamara Mariam, and Rehan Z. Paracha. "Limitations of Protein Structure Prediction Algorithms in Therapeutic Protein Development." BioMedInformatics 4, no. 1 (2024): 98–112. http://dx.doi.org/10.3390/biomedinformatics4010007.

Full text
Abstract:
The three-dimensional protein structure is pivotal in comprehending biological phenomena. It directly governs protein function and hence aids in drug discovery. The development of protein prediction algorithms, such as AlphaFold2, ESMFold, and trRosetta, has given much hope in expediting protein-based therapeutic discovery. Though no study has reported a conclusive application of these algorithms, the efforts continue with much optimism. We intended to test the application of these algorithms in rank-ordering therapeutic proteins for their instability during the pre-translational modification
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Algorithms- Protein"

1

Derevyanko, Georgy. "Structure-based algorithms for protein-protein interactions." Thesis, Grenoble, 2014. http://www.theses.fr/2014GRENY070/document.

Full text
Abstract:
Les phénotypes de tous les organismes vivants connus sont déterminés par les interactions compliquées entre les protéines produites dans ces organismes. La compréhension des réponses des organismes aux stimuli externes ou internes est basée sur la compréhension des interactions des protéines individuelles et des structures de ses complexes. La prédiction d'un complexe de deux ou plus protéines est le problème du domaine du docking protéine-protéine. Les algorithmes du docking ont habituellement deux étapes majeurs: recherche 6D exhaustive suivi par le scoring. Dans ce travail, nous avons contr
APA, Harvard, Vancouver, ISO, and other styles
2

Lassmann, Timo. "Algorithms for building and evaluating multiple sequence alignments /." Stockholm, 2006. http://diss.kib.ki.se/2006/91-7140-887-8/.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hosur, Raghavendra. "Structure-based algorithms for protein-protein interaction prediction." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/75843.

Full text
Abstract:
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2012.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>Cataloged from student submitted PDF version of thesis.<br>Includes bibliographical references (p. 109-124).<br>Protein-protein interactions (PPIs) play a central role in all biological processes. Akin to the complete sequencing of genomes, complete descriptions of interactomes is a fundamental step towards a deeper understanding of biolog
APA, Harvard, Vancouver, ISO, and other styles
4

Bazzoli, A. "Protein structure prediction and protein design with evolutionary algorithms." Doctoral thesis, Università degli Studi di Milano, 2009. http://hdl.handle.net/2434/64478.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Lappe, Michael. "Novel algorithms for protein interaction networks." Thesis, University of Cambridge, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.615625.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Sajjadi, Sajdeh [Verfasser]. "Step by step in fast protein-protein docking algorithms / Sajdeh Sajjadi." Lübeck : Zentrale Hochschulbibliothek Lübeck, 2014. http://d-nb.info/1060276887/34.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

C, Dukka Bahadur K. "Clique-based algorithms for protein structure prediction." 京都大学 (Kyoto University), 2006. http://hdl.handle.net/2433/143887.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Thomas, Dallas, and University of Lethbridge Faculty of Arts and Science. "Algorithms & experiments for the protein chain lattice fitting problem." Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2006, 2006. http://hdl.handle.net/10133/535.

Full text
Abstract:
This study seeks to design algorithms that may be used to determine if a given lattice is a good approximation to a given rigid protein structure. Ideal lattice models discovered using our techniques may then be used in algorithms for protein folding and inverse protein folding. In this study we develop methods based on dynamic programming and branch and bound in an effort to identify “ideal” lattice models. To further our understanding of the concepts behind the methods we have utilized a simple cubic lattice for our analysis. The algorithms may be adapted to work on any lattice. We describe
APA, Harvard, Vancouver, ISO, and other styles
9

Gamalielsson, Jonas. "Models for Protein Structure Prediction by Evolutionary Algorithms." Thesis, University of Skövde, Department of Computer Science, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-623.

Full text
Abstract:
<p>Evolutionary algorithms (EAs) have been shown to be competent at solving complex, multimodal optimisation problems in applications where the search space is large and badly understood. EAs are therefore among the most promising classes of algorithms for solving the Protein Structure Prediction Problem (PSPP). The PSPP is how to derive the 3D-structure of a protein given only its sequence of amino acids. This dissertation defines, evaluates and shows limitations of simplified models for solving the PSPP. These simplified models are off-lattice extensions to the lattice HP model which has bee
APA, Harvard, Vancouver, ISO, and other styles
10

Parry-Smith, David John. "Algorithms and data structures for protein sequence analysis." Thesis, University of Leeds, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277404.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Books on the topic "Algorithms- Protein"

1

Rangwala, Huzefa. Introduction to protein structure prediction: Methods and algorithms. Wiley, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
2

Rangwala, Huzefa, G. Karypis, and G. Karypis. Introduction to protein structure prediction: Methods and algorithms. Wiley, 2010.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
3

Pan, Yi, Jianxin Wang, and Min Li. Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118567869.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Donald, Bruce R. Algorithms in structural molecular biology. MIT Press, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
5

Inge, Jonassen, and Taylor W. R, eds. Protein bioinformatics: An algorithmic approach to sequence and structure analysis. J. Wiley & Sons, 2004.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
6

Gelʹfand, M. S. Predskazanie belok-kodirui͡ushchikh oblasteĭ v nukleotidnykh posledovatelʹnosti͡akh. Nauchnyĭ t͡sentr biologicheskikh issledovaniĭ AN SSSR, 1990.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
7

M, Sansano Allen, and Langley Research Center, eds. Minimizing overhead in parallel algorithms through overlapping communication/computation. National Aeronautics and Space Administration, Langley Research Center, 1997.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
8

Sokolov, Artem, and Oleg Zhdanov. Cryptographic constructions on the basis of functions of multivalued logic. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1045434.

Full text
Abstract:
Symmetric encryption algorithms have been successfully used to protect information during transmission on an open channel. The classical approach to the synthesis of modern cryptographic algorithms and cryptographic primitives on which they are based, is the use of mathematical apparatus of Boolean functions. The authors demonstrate that the use to solve this problem of functions of multivalued logic (FML) allows to largely improve the durability of the cryptographic algorithms and to extend the used algebraic structures. On the other hand, the study of functions of multivalued logic in crypto
APA, Harvard, Vancouver, ISO, and other styles
9

Kostyukov, Viktor. Molecular mechanics of biopolymers. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1010677.

Full text
Abstract:
The monograph is devoted to molecular mechanics simulations of biologically important polymers like proteins and nucleic acids. It is shown that the algorithms based on the classical laws of motion of Newton, with high-quality parameterization and sufficient computing resources is able to correctly reproduce and predict the structure and dynamics of macromolecules in aqueous solution. Summarized the development path of biopolymers molecular mechanics, its theoretical basis, current status and prospects for further progress. &#x0D; It may be useful to researchers specializing in molecular Bioph
APA, Harvard, Vancouver, ISO, and other styles
10

Karypis, George, and Huzefa Rangwala. Introduction to Protein Structure Prediction: Methods and Algorithms. Wiley & Sons, Incorporated, John, 2011.

Find full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Book chapters on the topic "Algorithms- Protein"

1

Jothi, Raja, and Teresa M. Przytycka. "Computational Approaches to Predict Protein-Protein and Domain-Domain Interactions." In Bioinformatics Algorithms. John Wiley & Sons, Inc., 2007. http://dx.doi.org/10.1002/9780470253441.ch21.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Malod-Dognin, Noël, Rumen Andonov, and Nicola Yanev. "Maximum Cliques in Protein Structure Comparison." In Experimental Algorithms. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13193-6_10.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Yao, Yin, and Martin C. Frith. "Improved DNA-versus-Protein Homology Search for Protein Fossils." In Algorithms for Computational Biology. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-74432-8_11.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Maji, Pradipta, and Sushmita Paul. "Identification of Disease Genes Using Gene Expression and Protein–Protein Interaction Data." In Scalable Pattern Recognition Algorithms. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05630-2_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Mukhopadhyay, Anirban, Sumanta Ray, Ujjwal Maulik, and Sanghamitra Bandyopadhyay. "Multiobjective Approach to Gene Ontology-Based Protein-Protein Interaction Prediction." In Multiobjective Optimization Algorithms for Bioinformatics. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-1631-9_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

von Looz, Moritz, Mario Wolter, Christoph R. Jacob, and Henning Meyerhenke. "Better Partitions of Protein Graphs for Subsystem Quantum Chemistry." In Experimental Algorithms. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-38851-9_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Yoo, Paul D., Bing Bing Zhou, and Albert Y. Zomaya. "Protein Domain Boundary Prediction." In Algorithms in Computational Molecular Biology. John Wiley & Sons, Inc., 2010. http://dx.doi.org/10.1002/9780470892107.ch23.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Yao, Qiuming, Jianjiong Gao, and Dong Xu. "Musite: Tool for Predicting Protein Phosphorylation Sites." In Encyclopedia of Algorithms. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-2864-4_600.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Li, Shuai Cheng, and Yen Kaow Ng. "On Protein Structure Alignment under Distance Constraint." In Algorithms and Computation. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10631-6_9.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Yao, Qiuming, Jianjiong Gao, and Dong Xu. "Musite: Tool for Predicting Protein Phosphorylation Sites." In Encyclopedia of Algorithms. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-642-27848-8_600-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Algorithms- Protein"

1

Zhao, Wenhui, Yixin Zhong, Yi Cao, Wenxing He, Yaou Zhao, and Yuehui Chen. "MSADeepLoc: Subcellular Localization Prediction Using MSA and Protein Language Model." In 2024 7th International Conference on Algorithms, Computing and Artificial Intelligence (ACAI). IEEE, 2024. https://doi.org/10.1109/acai63924.2024.10899712.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Akinwale, Mercy, Jerry Emmanuel, Itunuoluwa Isewon, and Jelili Oyelade. "Application of Deep learning Algorithms On Protein Function Prediction: A Systematic Review." In 2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG). IEEE, 2024. http://dx.doi.org/10.1109/seb4sdg60871.2024.10629655.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Hu, Jing, and Yihang Du. "Predicting Moonlighting Proteins from Protein Sequence." In 14th International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and Technology Publications, 2023. http://dx.doi.org/10.5220/0011782300003414.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

"PYCOEVOL - A Python Workflow to Study Protein-protein Coevolution." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003737901430149.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Li, Zhao, Zhang Tianchi, and Zhang Jing. "Optimization Algorithms for Flexible Protein-Protein Docking." In 2012 Third International Conference on Digital Manufacturing and Automation (ICDMA). IEEE, 2012. http://dx.doi.org/10.1109/icdma.2012.135.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Chang, Sheng, Yifan Wang, Xinhong Zhang, and Fan Zhang. "Graph neural networks for protein-protein interactions." In 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), edited by Kannimuthu Subramaniam and Pavel Loskot. SPIE, 2023. http://dx.doi.org/10.1117/12.3006152.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

"ProRank+ - A Method for Detecting Protein Complexes in Protein Interaction Networks." In International Conference on Bioinformatics Models, Methods and Algorithms. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004910802390244.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Konc, Janez, and Dušanka Janežič. "Algorithms and web servers for protein binding sites detection in drug discovery." In 2nd International Conference on Chemo and BioInformatics. Institute for Information Technologies, University of Kragujevac, 2023. http://dx.doi.org/10.46793/iccbi23.014k.

Full text
Abstract:
Drug discovery is a protracted and demanding process, which can be expedited during its early stages through novel mathematical approaches and modern computing. To tackle this crucial issue, we are developing fresh mathematical solutions aimed at detecting and characterizing protein binding sites, pivotal for new drug discovery. This paper introduces algorithms founded on graph theory which we have devised to scrutinize target biological proteins. These algorithms yield vital data, facilitating the optimization of initial phases in novel drug development. A particular emphasis lies in the crea
APA, Harvard, Vancouver, ISO, and other styles
9

Arikawa, Keisuke. "Investigation of Algorithms for Analyzing Protein Internal Motion From Viewpoint of Robot Kinematics." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28551.

Full text
Abstract:
We investigate various algorithms for analyzing the characteristics of the internal motion of proteins based on the analogies between their kinematic structures and robotic mechanisms. First, we introduce an artificial simple protein model, planar main chain (PMC), composed of a planar serial link mechanism to investigate the algorithms. Then, we develop algorithms for analyzing the conformational fluctuations by applying the manipulability analysis of robot manipulators and control strategies for redundant manipulators. Next, we develop algorithms for analyzing the conformational deformation
APA, Harvard, Vancouver, ISO, and other styles
10

"PREDICTION OF CHIMERIC PROTEIN FOLD." In International Conference on Bioinformatics Models, Methods and Algorithms. SciTePress - Science and and Technology Publications, 2012. http://dx.doi.org/10.5220/0003790102340239.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Algorithms- Protein"

1

Martin, Shawn Bryan, Kenneth L. Sale, Jean-Loup Michel Faulon, and Diana C. Roe. Developing algorithms for predicting protein-protein interactions of homology modeled proteins. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/883467.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Rangwala, Huzefa, and George Karypis. Incremental Window-based Protein Sequence Alignment Algorithms. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada444856.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Sapiro, Guillermo. New Forcefields and Algorithms for Computational Protein Design. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada428012.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

DeRonne, Kevin W., and George Karypis. Effective Optimization Algorithms for Fragment-Assembly Based Protein Structure Prediction. Defense Technical Information Center, 2006. http://dx.doi.org/10.21236/ada444732.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Rohrbough, James G., Linda Breci, Nirav Merchant, Susan Miller, and Paul A. Haynes. Verification of Single-Peptide Protein Identifications by the Application of Complementary Database Search Algorithms. Defense Technical Information Center, 2005. http://dx.doi.org/10.21236/ada439637.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Kim, Sangtae. Microstructural Models of Interactions That Govern Protein Conformations: Algorithms for High Performance Computer Architectures. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada360981.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

CARR, ROBERT D., GIUSEPPE LANCIA, and SORIN ISTRAIL. Branch-and-Cut Algorithms for Independent Set Problems: Integrality Gap and An Application to Protein Structure Alignment. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/764804.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Suriyaphol, Gunnaporn. Study the gene expression of E-cadherin, syndecan1, matrix metalloproteinases-2, -7, -9, -14 and tissue inhibitors of metalloproteinases-1 and -2 in canine oral melanoma. Chulalongkorn University, 2015. https://doi.org/10.58837/chula.res.2015.80.

Full text
Abstract:
The objectives of this study were to 1.) select the suitable reference genes for quantitative real-time polymerse chain reaction in the most common canine oral cancers: oral melanoma (OM) and oral squamous cell carcinoma (OSCC), 2.) study the gene expression of E-cadherin (CDH1), syndecan 1 (SDC1), matrix metalloproteinases-2, -7, -9, -14 (MMP2, MMP7, MMP9, MMP14) and tissue inhibitors of metalloproteinases-1 and -2 (TIMP1, TIMP2) in canine OM at the mRNA level and study the CDH1, SDC1 and Ki-67 protein expression by immunohistochemistry, and 3.) study the association of gene expression and th
APA, Harvard, Vancouver, ISO, and other styles
9

Gregurick, S. K. AB Initio Protein Tertiary Structure Prediction: Comparative-Genetic Algorithm with Graph Theoretical Methods. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/834523.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Gronberg, J., and J. Hollar. Trigger Algorithm Design for a SUSY Lepton Trigger based on Forward Proton Tagging. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/975215.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the extended bibliographies on the topic 'Algorithms- Protein' for particular source types:
Journal articles Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography