Author

Ruben Abagyan

J. Craig Venter Institute

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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Genomics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Assay:protein structure· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:drug response / drug discovery· 1 Organism:human· 1 Research Focus:software / tool· 1 Research Focus:variant effect prediction· 1

Frequent Co-Authors

Amalio TelentiiD· 1 shared István BarthaiD· 1 shared J. Craig VenteriD· 1 shared Julia di IulioiD· 1 shared Manuel Rueda· 1 shared Michael A. HicksiD· 1 shared

Activity by Year

2016-2019 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 10 mutual co-author links

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1 shared paperGenomics

Amalio TelentiORCID

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2 papers

Recent·Most cited

Functional characterization of 3D-protein structures informed by human genetic diversity

Michael A. Hicks, István Bartha, Julia di Iulio, Ruben Abagyan, J. Craig Venter, Amalio Telenti

The paper uses human genetic data to analyze 3D protein structures and identifies intolerant sites that correlate with functional and drug target properties.

Proceedings of the National Academy of Sciences · Apr 15, 2019Peer-reviewedGenomics

Best Practices in Docking and Activity Prediction

Manuel Rueda, Ruben Abagyan

This paper discusses best practices in computational docking and activity prediction, focusing on improving docking accuracy through better representation of chemical entities, conformational sampling, and scoring functions.

bioRxiv · Feb 12, 2016 · PreprintPharmacology & Toxicology