Author

Ratul Bhowmik

Tampere UniversityORCID 0000-0002-7013-7323Unclaimed 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:database / resource· 1 Assay:DNA methylation· 1 Research Focus:drug response / drug discovery· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

Ashok AspatwariD· 2 shared Sameer SharmaiD· 2 shared Ajay ManaithiyaiD· 1 shared Akanksha KulshreshthaiD· 1 shared Akriti Verma· 1 shared Bijo MathewiD· 1 shared Mohd ImraniD· 1 shared Satarupa Acharjee· 1 shared

Activity by Year

2024-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBioinformatics

Ashok AspatwarORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

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