Author

Somtirtha Santra

Oak Ridge National Laboratory

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Assay:protein sequence· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Approach:deep learning· 1 Organism:E. coli· 1 Approach:machine learning (classical)· 1 Research Focus:protein structure prediction· 1

Frequent Co-Authors

Costas D. MaranasiD· 2 shared Veda Sheersh BoorlaiD· 2 shared Abraham OsinugaiD· 1 shared Chidi Egwu· 1 shared Eduard Kerkhoven· 1 shared Farid ZareiD· 1 shared Haixing PiaoiD· 1 shared Han YuiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 38 mutual co-author links

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2 shared papersSystems Biology

Costas D. MaranasORCID

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2 papers

Recent·Most cited

Accessing Enzyme Kinetic Data and Prediction Methods at Scale

Saleh Alwer, Hugues Escoffier, Karim Taha, Veda Sheersh Boorla, Han Yu, Somtirtha Santra, Zechen Wang, Chidi Egwu, Abraham Osinuga, Supantha Dey, Vaishnavey Srinivasan Raghunath, Farid Zare, Jack McGoldrick, Jan-Niklas Weder, Eduard Kerkhoven, , Ronan M. T. Fleming

OpenKinetics Predictor unifies thirteen enzyme kinetic predictors behind one interface and API; on E. coli iML1515, eight kcat predictors correlate pairwise at r 0.08 to 0.67.

bioRxiv · Sep 28, 2026 · PreprintSystems Biology✦ In-depth digest

BindPred: A Framework for Predicting Protein-Protein Binding Affinity from Language Model Embeddings

Haixing Piao, Veda Sheersh Boorla, Somtirtha Santra, Costas D. Maranas

BindPred predicts protein-protein binding affinity from amino acid sequences using language model embeddings and gradient boosting trees, achieving high correlation on a benchmark dataset.

Bioinformatics · May 12, 2026Peer-reviewedBioinformatics