Author

M. Michael Gromiha

Indian Institute of Technology MadrasORCID 0000-0002-1776-4096Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Biophysics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:cryo-EM· 1 Approach:deep learning· 1 Research Focus:protein design· 1 Assay:protein sequence· 1

Frequent Co-Authors

Ambuj SrivastavaiD· 1 shared Anika JainiD· 1 shared Anouka Saha· 1 shared Arne ElofssoniD· 1 shared Ayush GuptaiD· 1 shared Chandran NithiniD· 1 shared Daisuke KiharaiD· 1 shared David Andrew CaseiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBiophysics

Ambuj SrivastavaORCID

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2 papers

Recent·Most cited

Amylo-Pipe: an integrated web server for mechanistic and kinetic prediction of protein and peptide aggregation

Puneet Rawat, R. Prabakaran, Niccolò Cardente, Sandeep Kumar, Victor Greiff, M. Michael Gromiha

Amylo-Pipe integrates mechanistic and kinetic prediction tools for protein and peptide aggregation, offering a web interface for assessing aggregation behavior and supporting protein engineering.

bioRxiv · Jun 12, 2026 · PreprintBioinformatics

Blind Prediction of Complex Water and Ion Ensembles Around RNA in CASP16

Rachael C. Kretsch, Elisa Posani, Eugene F. Baulin, Janusz Marek Bujnicki, Giovanni Bussi, Thomas E. Cheatham, Shi‐Jie Chen, Arne Elofsson, Masoud Amiri Farsani, Olivia N. Fisher, M. Michael Gromiha, Ayush Gupta, Michiaki Hamada, Kannan Harini, Gang Hu, , Rhiju Das

This paper evaluates blind predictions of dynamic water and ion ensembles around RNA using cryo-EM densities from CASP16, finding that molecular dynamics approaches perform best.

Proteins Structure Function and Bioinformatics · Nov 8, 2025Peer-reviewedBiophysics