Author details

Full Name

Vasant Honavar

Affiliation

ORCID

Career Start Year

1998

Papers

H Index

Expertise

CM4AI Collaborator

PMID	Paper Title	Journal Title	Published Year
36671507	MetaScore: A Novel Machine-Learning-Based Approach to Improve Traditional Scoring Functions for Scoring Protein-Protein Docking Conformations.	Biomolecules	2023
37573208	Performance of an open machine learning model to classify sleep/wake from actigraphy across â¿¼24-hour intervals without knowledge of rest timing.		2023
37115836	Forecasting User Interests Through Topic Tag Predictions in Online Health Communities.		2023
35350584	Feeding the machine: Challenges to reproducible predictive modeling in resting-state connectomics.	Network Neuroscience	2022
35970068	Connected in health: Place-to-place commuting networks and COVID-19 spillovers.		2022
31199455	iScore: a novel graph kernel-based function for scoring protein-protein docking models.	Bioinformatics	2020
35419466	iScore: An MPI supported software for ranking protein-protein docking models based on a random walk graph kernel and support vector machines.	SoftwareX	2020
31238391	Machine learning in clinical care: Quo vadis?	Indian Journal of Ophthalmology	2019
31849551	Personalized Sleep Parameters Estimation from Actigraphy: A Machine Learning Approach.	Nature and Science of Sleep	2019
31756219	Biomarker discovery in inflammatory bowel diseases using network-based feature selection.	PLoS ONE	2019
30536635	Partner-specific prediction of RNA-binding residues in proteins: A critical assessment.	Proteins: Structure, Function and Bioinformatics	2019
30255801	Min-redundancy and max-relevance multi-view feature selection for predicting ovarian cancer survival using multi-omics data.	BMC Medical Genomics	2018
27787829	Sequence-Based Prediction of RNA-Binding Residues in Proteins.	Methods in Molecular Biology	2017
27013645	Template-based protein-protein docking exploiting pairwise interfacial residue restraints.	Brief Bioinform	2017
27787831	In Silico Prediction of Linear B-Cell Epitopes on Proteins.	Methods in Molecular Biology	2017
27714937	PlasmoSEP: Predicting surface-exposed proteins on the malaria parasite using semisupervised self-training and expert-annotated data.	Proteomics	2016
29399599	Temporal Causality Analysis of Sentiment Change in a Cancer Survivor Network.	IEEE Transactions on Computational Social Systems	2016
27383535	FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues.	PLoS ONE	2016
26460190	Computational prediction of protein interfaces: A review of data driven methods.	FEBS Lett	2015
25592607	Discovery informatics in biological and biomedical sciences: research challenges and opportunities.	Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing	2015
25736372	Stimulating new and innovative perspectives on old and persistent problems: a commentary on "Attempters adherers and non-adherers: latent profile analysis of CPAP use with correlates" by Wohlgemuth et al.	Sleep Medicine	2015
24846307	RNABindRPlus: a predictor that combines machine learning and sequence homology-based methods to improve the reliability of predicted RNA-binding residues in proteins.	PLoS One	2014
23873600	DockRank: ranking docked conformations using partner-specific sequence homology-based protein interface prediction.	Proteins	2014
25048130	Building classifier ensembles for B-cell epitope prediction.	Methods in Molecular Biology	2014
23431393	Predicting the binding patterns of hub proteins: a study using yeast protein interaction networks.	PLoS One	2013
23867031	Mobile health technology evaluation: the mHealth evidence workshop.	Am J Prev Med	2013
22574904	Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art.	BMC Bioinformatics	2012
22424103	Predicting protein-protein interface residues using local surface structural similarity.	BMC Bioinformatics	2012
22917187	B-cell ligand processing pathways detected by large-scale comparative analysis.	Genomics Proteomics Bioinformatics	2012
22192482	Predicting RNA-protein interactions using only sequence information.	BMC Bioinformatics	2011
25905110	Ranking Docked Models of Protein-Protein Complexes Using Predicted Partner-Specific Protein-Protein Interfaces: A Preliminary Study.	ACM BCB	2011
21071426	PRIDB: a Protein-RNA interface database.	Nucleic Acids Research	2011
20855923	Predicting MHC-II binding affinity using multiple instance regression.	IEEE/ACM Transactions on Computational Biology and Bioinformatics	2011
21682895	HomPPI: a class of sequence homology based protein-protein interface prediction methods.	BMC Bioinformatics	2011
20300450	Struct-NB: predicting protein-RNA binding sites using structural features.	International Journal of Data Mining and Bioinformatics	2010
22820557	Abstraction Augmented Markov Models.	Proceedings - IEEE International Conference on Data Mining, ICDM	2010
21036404	Methods for transcriptomic analyses of the porcine host immune response: application to Salmonella infection using microarrays.	Veterinary Immunology and Immunopathology	2010
21034431	Semi-supervised prediction of protein subcellular localization using abstraction augmented Markov models.	BMC Bioinformatics	2010
21067544	Recent advances in B-cell epitope prediction methods.	Immunome Research	2010
20181029	Characterization of the retinal proteome during rod photoreceptor genesis.	BMC Research Notes	2010
20438654	Detection of gene orthology from gene co-expression and protein interaction networks.	BMC Bioinformatics	2010
19936830	ANEXdb: an integrated animal ANnotation and microarray EXpression database.	Mamm Genome	2009
22822297	Efficient Markov Network Structure Discovery Using Independence Tests.	Journal of Artificial Intelligence Research	2009
19426452	Mixture of experts models to exploit global sequence similarity on biomolecular sequence labeling.	BMC Bioinformatics	2009
18272850	Animal trait ontology: The importance and usefulness of a unified trait vocabulary for animal species.	J Anim Sci	2008
19642274	Predicting flexible length linear B-cell epitopes.	Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference	2008
19014713	Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable.	BMC Bioinformatics	2008
19812791	Using a seed-network to query multiple large-scale gene expression datasets from the developing retina in order to identify and prioritize experimental targets.	Bioinformatics and Biology Insights	2008
17851740	Characterization of protein-protein interfaces.	Protein Journal	2008
18813344	On evaluating MHC-II binding peptide prediction methods.	PLoS ONE	2008