Author

Anika Jain

Purdue University West LafayetteORCID 0000-0002-0249-875XUnclaimed 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:deep learning· 2 Research Focus:benchmarking· 1 Assay:cryo-EM· 1 Assay:protein structure· 1 Research Focus:protein structure prediction· 1 Approach:statistical model· 1

Frequent Co-Authors

Daisuke KiharaiD· 2 shared Joon Hong ParkiD· 2 shared Yuki KagayaiD· 2 shared Ambuj SrivastavaiD· 1 shared Anouka Saha· 1 shared Arne ElofssoniD· 1 shared Ayush GuptaiD· 1 shared Chandran NithiniD· 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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2 shared papersBioinformatics

Daisuke KiharaORCID

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2 papers

Recent·Most cited

Direct Detection and Atomic Modeling of Ligands in Cryo-EM Maps Using Deep Learning

Shu Li, Anika Jain, Yuki Kagaya, Joon Hong Park, Daisuke Kihara

Emap2lig detects ligand densities and builds atomic structures from cryo-EM maps using a two-stage deep learning framework.

bioRxiv · Jun 4, 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