Searching for Prediction Of Protein Protein Interaction Sites Using Support Vector Machines information? Find all needed info by using official links provided below.
https://academic.oup.com/peds/article/17/2/165/1589451
Feb 01, 2004 · The identification of protein–protein interaction sites is essential for the mutant design and prediction of protein–protein networks. The interaction sites of residue units were predicted using support vector machines (SVM) and the profiles of sequentially/spatially neighboring residues, plus additional information.Cited by: 223
https://www.sciencedirect.com/science/article/pii/S0925231213009892
Mar 27, 2014 · The prediction of protein–protein interaction sites, which closely relates to reconstruction of biochemical pathways and analysis of protein functions in biological processes, is an essential research problem in molecular biology and biochemistry , , . In this paper, we adopted ELMs in the protein–protein interaction site prediction, which ...Cited by: 71
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2785799/
Background. Predicting the binding sites between two interacting proteins provides important clues to the function of a protein. Recent research on protein binding site prediction has been mainly based on widely known machine learning techniques, such as artificial neural networks, support vector machines, conditional random field, etc.Cited by: 54
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2638146/
Predicting RNA-binding sites of proteins using support vector machines and evolutionary information. ... The proposed method can be used in other research areas, such as DNA-binding site prediction, protein-protein interaction, and prediction of posttranslational modification sites.Cited by: 122
https://www.sciencedirect.com/science/article/abs/pii/S0925231213009892
Fast prediction of protein–protein interaction sites based on Extreme Learning Machines. ... we implement the interface prediction either on multi-chain sets or on single-chain sets, using the two methods Extreme Learning Machines and support vector machines for a comparable study. As a consequence, in both multi-chain and single-chain cases ...Cited by: 71
https://academic.oup.com/bioinformatics/article/21/8/1487/251306
Dec 21, 2004 · Using a similar strategy, we have applied an increasingly popular machine-learning approach, the support vector machine (SVM), to the prediction of protein–protein binding sites. SVMs frequently demonstrate high prediction accuracy whilst avoiding over-fitting.Cited by: 467
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.107.5734
Running title: Prediction of protein interaction sites Keyphrases support vector machine protein-protein interaction site protein interaction site
https://ieeexplore.ieee.org/document/1317394/
This paper presents a new interaction prediction method that associates domains and other protein features by using support vector machines (SVMs), and it reports the results of investigating the effect of those protein features on the prediction accuracy.Cited by: 20
https://link.springer.com/10.1007/s13042-015-0450-6
Jan 11, 2016 · Protein–protein interaction plays a fundamental role in many biological processes and diseases. Characterizing protein interaction sites is crucial for the understanding of the mechanism of... Predicting protein–protein interaction sites using modified support vector machine …
http://onlinelibrary.wiley.com/doi/10.1002/prot.22424/abstract
Mar 19, 2009 · Ghazaleh Taherzadeh, Yaoqi Zhou, Alan Wee-Chung Liew and Yuedong Yang, Sequence-Based Prediction of Protein–Carbohydrate Binding Sites Using Support Vector Machines, Journal of Chemical Information and Modeling, 10.1021/acs.jcim.6b00320, 56, 10, (2115-2122), (2016).
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