Author

Ruchir Sahni

Indraprastha Institute of Information Technology DelhiORCID 0000-0002-9771-5496Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Research Focus:protein structure prediction· 2 Approach:machine learning (classical)· 1 Assay:protein sequence· 1 Assay:protein structure· 1 Approach:statistical model· 1

Frequent Co-Authors

Gajendra P. S. RaghavaiD· 2 shared Nishant KumariD· 2 shared Naman Kumar MehtaiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Gajendra P. S. RaghavaORCID

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2 papers

Recent·Most cited

HAIRpred2: Human Host-Specific Prediction of Antibody-Interacting Residues Using Hybrid Physicochemical and Structural Features

Naman Kumar Mehta, Ruchir Sahni, Nishant Kumar, Gajendra P. S. Raghava

HAIRpred2 predicts antibody-interacting residues in human antigens using structural features, achieving an AUC of 0.78 on an independent test set.

bioRxiv · May 13, 2026 · PreprintBioinformatics

HAIRpred: Prediction of human antibody interacting residues in an antigen from its primary structure

Ruchir Sahni, Nishant Kumar, Gajendra P. S. Raghava

HAIRpred predicts human antibody-interacting residues in antigens using machine learning and features like evolutionary profiles and surface accessibility, achieving an AUC of 0.72.

Protein Science · Jul 16, 2025Peer-reviewedBioinformatics