Author

N. Pentakota

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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Bioengineering· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Approach:large language model· 1 Assay:proteomics· 1

Frequent Co-Authors

A. Jayaraman· 1 shared A. Viglione· 1 shared E. Fitzpatrick· 1 shared K. Tharakaraman· 1 shared R. Gopal· 1 shared R. Raman· 1 shared R. Sasisekharan· 1 shared S. Anand· 1 shared

Activity by Year

2023-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperBioengineering

A. Jayaraman

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1 paper

Recent·Most cited

Machine Learning-Guided Antibody Engineering That Leverages Domain Knowledge To Overcome The Small Data Problem

T. Clark, V. Subramanian, A. Jayaraman, E. Fitzpatrick, R. Gopal, N. Pentakota, T. Rurak, S. Anand, A. Viglione, K. Tharakaraman, R. Raman, R. Sasisekharan

This paper presents a machine learning platform that enhances antibody affinity and neutralizing potency using domain knowledge and limited experimental data.

bioRxiv · Jun 2, 2023 · PreprintBioengineering