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Vasant Honavar

Showing results (41-50 of 56) with videos related to

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Plos One|May 22, 2014
RNABindRPlus: a predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteinsRasna R Walia, Li C Xue, Katherine Wilkins, et al.
Softwarex|April 14, 2022
iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machinesNicolas Renaud, Yong Jung, Vasant Honavar, et al.
Bioinformatics (Oxford, England)|June 15, 2019
iScore: a novel graph kernel-based function for scoring protein-protein docking modelsCunliang Geng, Yong Jung, Nicolas Renaud, et al.
Plos One|November 23, 2019
Biomarker discovery in inflammatory bowel diseases using network-based feature selectionMostafa Abbas, John Matta, Thanh Le, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Identifying interaction sites in "recalcitrant" proteins: predicted protein and RNA binding sites in rev proteins of HIV-1 and EIAV agree with experimental dataMichael Terribilini, Jae-Hyung Lee, Changhui Yan, et al.
Nucleic Acids Research|November 13, 2010
PRIDB: a Protein-RNA interface databaseBenjamin A Lewis, Rasna R Walia, Michael Terribilini, et al.
Nucleic Acids Research|May 8, 2007
RNABindR: a server for analyzing and predicting RNA-binding sites in proteinsMichael Terribilini, Jeffry D Sander, Jae-Hyung Lee, et al.
BMC Bioinformatics|May 5, 2010
Detection of gene orthology from gene co-expression and protein interaction networksFadi Towfic, Susan VanderPlas, Casey A Oliver, et al.
Briefings in Bioinformatics|March 26, 2016
Template-based protein-protein docking exploiting pairwise interfacial residue restraintsLi C Xue, João P G L M Rodrigues, Drena Dobbs, et al.
BMC Bioinformatics|May 12, 2012
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the artRasna R Walia, Cornelia Caragea, Benjamin A Lewis, et al.
Pageof 6

Showing results (41-50 of 56) with videos related to

Sort By:
Pageof 6
Plos One|May 22, 2014
RNABindRPlus: a predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteinsRasna R Walia, Li C Xue, Katherine Wilkins, et al.
Softwarex|April 14, 2022
iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machinesNicolas Renaud, Yong Jung, Vasant Honavar, et al.
Bioinformatics (Oxford, England)|June 15, 2019
iScore: a novel graph kernel-based function for scoring protein-protein docking modelsCunliang Geng, Yong Jung, Nicolas Renaud, et al.
Plos One|November 23, 2019
Biomarker discovery in inflammatory bowel diseases using network-based feature selectionMostafa Abbas, John Matta, Thanh Le, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|November 11, 2006
Identifying interaction sites in "recalcitrant" proteins: predicted protein and RNA binding sites in rev proteins of HIV-1 and EIAV agree with experimental dataMichael Terribilini, Jae-Hyung Lee, Changhui Yan, et al.
Nucleic Acids Research|November 13, 2010
PRIDB: a Protein-RNA interface databaseBenjamin A Lewis, Rasna R Walia, Michael Terribilini, et al.
Nucleic Acids Research|May 8, 2007
RNABindR: a server for analyzing and predicting RNA-binding sites in proteinsMichael Terribilini, Jeffry D Sander, Jae-Hyung Lee, et al.
BMC Bioinformatics|May 5, 2010
Detection of gene orthology from gene co-expression and protein interaction networksFadi Towfic, Susan VanderPlas, Casey A Oliver, et al.
Briefings in Bioinformatics|March 26, 2016
Template-based protein-protein docking exploiting pairwise interfacial residue restraintsLi C Xue, João P G L M Rodrigues, Drena Dobbs, et al.
BMC Bioinformatics|May 12, 2012
Protein-RNA interface residue prediction using machine learning: an assessment of the state of the artRasna R Walia, Cornelia Caragea, Benjamin A Lewis, et al.
Pageof 6