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Briefings in Bioinformatics|June 26, 2022
Pf-Phospho: a machine learning-based phosphorylation sites prediction tool for Plasmodium proteinsPriya Gupta, Sureshkumar Venkadesan, Debasisa MohantyNAR Genomics and Bioinformatics|January 19, 2026
Comparative evaluation of the prediction accuracy of AlphaFold and ESMFold for monomeric and dimeric proteinsSanjeet Kumar Mahtha, Sureshkumar Venkadesan, Debasisa MohantyInternational Journal of Biological Macromolecules|June 16, 2022
Allosteric regulation of the inactive to active state conformational transition in CDPK1 protein of Plasmodium falciparumPriya Gupta, Debasisa MohantyBriefings in Bioinformatics|April 11, 2021
SMMPPI: a machine learning-based approach for prediction of modulators of protein-protein interactions and its application for identification of novel inhibitors for RBD:hACE2 interactions in SARS-CoV-2Priya Gupta, Debasisa MohantyData in Brief|September 2, 2025
Comprehensive genomic insights into Mixta calida isolated from the faecal sample of a tuberculosis patient in IndiaArchana Pant, Jayalakshmi Srinivasan, Sureshkumar Venkadesan, et al.Biology Direct|September 23, 2016
modPDZpep: a web resource for structure based analysis of human PDZ-mediated interaction networksNeetu Sain, Debasisa MohantyBMC Structural Biology|May 30, 2012
Modeling holo-ACP:DH and holo-ACP:KR complexes of modular polyketide synthases: a docking and molecular dynamics studySwadha Anand, Debasisa MohantyPlos One|August 17, 2013
An in silico analysis of the binding modes and binding affinities of small molecule modulators of PDZ-peptide interactionsGarima Tiwari, Debasisa MohantyGenome Biology and Evolution|July 27, 2014
Genome-wide search for eliminylating domains reveals novel function for BLES03-like proteinsShradha Khater, Debasisa MohantyScientific Reports|June 4, 2015
In silico identification of AMPylating enzymes and study of their divergent evolutionShradha Khater, Debasisa MohantyPageof 25