| Issue Date | Title | Author(s) |
| Mar-2025 | HgutMgene-Miner: In silico genome mining tool for deciphering the drug-metabolizing potential of human gut microbiome | Mohanty, Debasisa; Kumar, Manish; Kumar, Vikas; Amir, Sana |
| 7-Jan-2025 | SProtFP: a machine learning-based method for functional classification of small ORFs in prokaryotes | Debasisa, Mohanty; Khanduja, Akshay |
| Jan-2025 | SG-ML-PLAP: A structure-guided machine learning- based scoring function for protein-ligand binding affinity prediction | Pal, Sapna; Pal, Ankita; Debasisa, Mohanty |
| Aug-2022 | Allosteric regulation of the inactive to active state conformational transition in CDPK1 protein of Plasmodium falciparum | Gupta, Priya; Mohanty, Debasisa |
| Jul-2022 | Pf-Phospho: a machine learning-based phosphorylation sites prediction tool for Plasmodium proteins | Mohanty, Debasisa; Gupta, Priya; Venkadesan, Sureshkumar |
| Aug-2022 | Allosteric regulation of the inactive to active state conformational transition in CDPK1 protein of Plasmodium falciparum | Mohanty, Debasisa; Gupta, Priya |
| Aug-2016 | Understanding the molecular basis of substrate binding specificity of PTB domains | Mohanty, Debasisa; Sain, Neetu; Tiwari, Garima |
| Sep-2016 | modPDZpep: a web resource for structure based analysis of human PDZ-mediated interaction networks | Mohanty, Debasisa; Sain, Neetu |
| Sep-2021 | modPDZpep: a web resource for structure based analysis of human PDZ-mediated interaction networks | Mohanty, Debasisa; Sain, Neetu |
| Jul-2017 | RiPPMiner: a bioinformatics resource for deciphering chemical structures of RiPPs based on prediction of cleavage and cross-links | Mohanty, Debasisa; Agrawal, Priyesh; Khater, Shradha; Gupta, Money; Sain, Neetu |
| Jul-2017 | SBSPKSv2: structure-based sequence analysis of polyketide synthases and non-ribosomal peptide synthetases | Mohanty, Debasisa; Grover, Mansi; Kumar, Narendra; Gupta, Priya; Khater, Shradha; Gupta, Money; Agrawal, Priyesh; Sain, Neetu; Prava, Jyoti |
| May-2021 | A machine learning-based method for prediction of macrocyclization patterns of polyketides and non-ribosomal peptides | Mohanty, Debasisa; Agrawal, Priyesh |
| Sep-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-2 | Mohanty, Debasisa; Gupta, Priya |
| May-2021 | RiPPMiner-Genome: A Web Resource for Automated Prediction of Crosslinked Chemical Structures of RiPPs by Genome Mining | Mohanty, Debasisa; Agrawal, Priyesh; Amir, Sana; Deepak; Barua, Drishtee |
| Dec-2018 | Deciphering evolution of immune recognition in antibodies | Mohanty, Debasisa; Sain, Neetu; Salunke, Dinakar M.; Kaur, Harmeet |
| 2017 | Molecular Dynamics Simulations for Deciphering the Structural Basis of Recognition of Pre-let‑7 miRNAs by LIN28 | Mohanty, Debasisa; Sharma, Chhaya |
| 2017 | Sequence- and structure-based analysis of proteins involved in miRNA biogenesis | Mohanty, Debasisa; Sharma, Chhaya |
| Dec-2014 | Deciphering kinase-substrate relationships by analysis of domain specific phosphorylation network. | Mohanty, Debasis; Damle, Nikhil Prakash |
| Jun-2016 | In silico methods for linking genes and secondary metabolites: The way forward | Mohanty, Debasisa; Khater, Shradha; Anand, Swadha |
| Mar-2015 | Getting Phosphorylated: Is it Necessary to be Solvent Accessible ? | Mohanty, Debasisa; Kumar, Narendra; Damle, Nikhil Prakash |
