Author

E. Konkolova

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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Biochemistry· 1

Signature Assays, Organisms & Methods

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Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Assay:proteomics· 1 Approach:statistical model· 1 Organism:virus· 1

Frequent Co-Authors

A. Aspuru-Guzik· 1 shared A. Kundaje· 1 shared A. Nigam· 1 shared C. Gorgulla· 1 shared E. Boura· 1 shared F. Li· 1 shared H. U. Kaniskan· 1 shared H.-L. Ng· 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 paperBiochemistry

A. Aspuru-Guzik

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1 paper

Recent·Most cited

Drug Discovery in Low Data Regimes: Leveraging a Computational Pipeline for the Discovery of Novel SARS-CoV-2 Nsp14-MTase Inhibitors

A. Nigam, M. F. D. Hurley, F. Li, E. Konkolova, M. Klima, J. Trylcova, R. Pollice, S. S. Cınaroglu, R. Levin-Konigsberg, J. Handjaya, M. Schapira, I. Chau, S. Perveen, H.-L. Ng, H. U. Kaniskan, , A. Aspuru-Guzik

This paper introduces a computational pipeline for identifying SARS-CoV-2 nsp14 inhibitors using virtual screening, identifying seven candidates including NSC620333 and SS148, with experimental validation of binding affinity and structural insights.

bioRxiv · Oct 3, 2023 · PreprintBiochemistry