Author

Madhusudan Reddy Nandineni

Centre for DNA Fingerprinting and DiagnosticsORCID 0000-0002-8933-4503Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1

Signature Assays, Organisms & Methods

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Organism:human· 1 Approach:machine learning (classical)· 1 Research Focus:variant effect prediction· 1 Assay:whole-exome sequencing· 1

Frequent Co-Authors

K K Kanaka· 1 shared K. C. NikhiliD· 1 shared Madhu RameshiD· 1 shared Pankaj KumariD· 1 shared Rangasai Chandra GoliiD· 1 shared Sandip GaraiiD· 1 shared Soumen NaskariD· 1 shared Srishti Singh· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioinformatics

K K Kanaka

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1 paper

Recent·Most cited

AlphaGenome informed machine learning for pathogenicity prediction of germline mutations

Pankaj Kumar, Srishti Singh, Sandip Garai, Madhu Ramesh, Rangasai Chandra Goli, K. C. Nikhil, Tanmaya Kumar Sahu, Soumen Naskar, Vijai Pal Bhadana, Madhusudan Reddy Nandineni, K K Kanaka

AGVarPred is a gradient-boosted classifier that improves pathogenicity prediction of germline variants by integrating AlphaGenome features, outperforming existing models across SNVs and indels.

bioRxiv · Oct 25, 2026 · PreprintBioinformatics