Author

Sameer Sharma

ORCID 0000-0002-3456-0263Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Research Focus:database / resource· 1 Assay:DNA methylation· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:mouse· 1 Assay:proteomics· 1 Approach:statistical model· 1

Frequent Co-Authors

Ashok AspatwariD· 2 shared Ratul BhowmikiD· 2 shared Ajay ManaithiyaiD· 1 shared Akanksha KulshreshthaiD· 1 shared Akriti Verma· 1 shared Anita Ganjoo· 1 shared Bijo MathewiD· 1 shared Heather FrancisiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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2 shared papersBioinformatics

Ashok AspatwarORCID

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3 papers

Recent·Most cited

INVA8001, a Novel and Highly Selective Chymase Inhibitor, Ameliorates Liver Inflammation, Fibrosis, and Hyperplasia in Mdr2 Knockout Mice

Sameer Sharma, Lixian Chen, Tianhao Zhou, Meenakshi Chawla, Anita Ganjoo, Shunichiro Okada, Salvatore Alesci, Krishnan Nandabalan, Heather Francis

This study evaluates the efficacy of INVA8001, a chymase inhibitor, in reducing liver inflammation, fibrosis, and hyperplasia in Mdr2 knockout mice with PSC-like features.

Frontiers in Medicine · Jun 9, 2026Peer-reviewedPathology

APV9WR: An Integrated Web Resource of Alpha papillomavirus 9 for Genomics, Proteomics, Phylogenetic and Therapeutic Analysis

Akanksha Kulshreshtha, Vasu Goel, Akriti Verma, Sparsh Goel, Susha Dinesh, Sameer Sharma, Ratul Bhowmik, Ashok Aspatwar

The paper develops APV9WR, a web resource for analyzing Alpha papillomavirus 9 genomics, proteomics, phylogenetics, and therapeutics using bioinformatics tools and datasets from GenBank and NCBI Virus.

bioRxiv · Jun 28, 2024 · PreprintBioinformatics

Elucidating Molecular Mechanism and Chemical Space of Chalcones through Knowledge Graph and Machine Learning: A Combined Bio-Cheminformatic Pipeline

Ajay Manaithiya, Ratul Bhowmik, Satarupa Acharjee, Sameer Sharma, Sunil Kumar, Mohd Imran, Bijo Mathew, Seppo Parkkila, Ashok Aspatwar

The paper develops ML-QSAR models and knowledge-driven neural networks to predict bioactivity of chalcone derivatives against disease targets and identify key molecular mechanisms.

bioRxiv · May 5, 2024 · PreprintBioinformatics