World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
103
Citations
46815
World Ranking
1297
National Ranking
760

Overview

Ruben Abagyan is affiliated with the University of California, San Diego in the United States. Their research spans multiple fields with significant contributions in Medicine and Biochemistry, Genetics and Molecular Biology. Among the subfields they have worked in are Molecular Biology, Oncology, Pharmacology, Infectious Diseases, and Computational Theory and Mathematics.

The scientist's publication record includes a variety of topics, with a focus on computational methods and biomedical applications. Main topics of their work include:

  • Computational Drug Discovery Methods
  • Mosquito-borne diseases and control
  • Cancer Immunotherapy and Biomarkers
  • CAR-T cell therapy research
  • Monoclonal and Polyclonal Antibodies Research
  • Forensic Toxicology and Drug Analysis
  • Psychedelics and Drug Studies

Ruben Abagyan has published articles in several frequently appearing venues, reflecting a focus on both preclinical and clinical biomedical research. These venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Scientific Reports
  • Frontiers in Psychiatry
  • Nanoscale
  • Blood

Frequent co-authors of Ruben Abagyan include:

  • Tigran Makunts
  • Da Shi
  • Thomas G. Bartholow
  • Michael D. Burkart
  • Ittipat Meewan

Some representative recent papers authored or co-authored by Ruben Abagyan are:

  • A receptor-like protein mediates plant immune responses to herbivore-associated molecular patterns, 2020, Proceedings of the National Academy of Sciences
  • Systems Biology Analysis Reveals Eight SLC22 Transporter Subgroups, Including OATs, OCTs, and OCTNs, 2020, International Journal of Molecular Sciences
  • De novo generation of multi-target compounds using deep generative chemistry, 2024, Nature Communications
  • Unique metabolite preferences of the drug transporters OAT1 and OAT3 analyzed by machine learning, 2020, Journal of Biological Chemistry
  • Myocarditis occurrence with cancer immunotherapy across indications in clinical trial and post-marketing data, 2021, Scientific Reports

Best Publications

  • XCMS: processing mass spectrometry data for metabolite profiling using nonlinear peak alignment, matching, and identification.

    Colin A Smith;Elizabeth J Want;Grace O'Maille;Ruben Abagyan

  • METLIN: a metabolite mass spectral database.

    Colin A Smith;Grace O'Maille;Elizabeth J Want;Chuan Qin

  • Structures of the CXCR4 chemokine GPCR with small-molecule and cyclic peptide antagonists.

    Beili Wu;Ellen Y. T. Chien;Clifford D. Mol;Gustavo Fenalti

  • ICM—a new method for protein modeling and design: applications to docking and structure prediction from the distorted native conformation

    Ruben Abagyan;Maxim Totrov;Dmitry Kuznetsov

  • Sirtuin 2 Inhibitors Rescue α-Synuclein-Mediated Toxicity in Models of Parkinson's Disease

    Tiago Fleming Outeiro;Eirene Kontopoulos;Stephen M. Altmann;Irina Kufareva

  • Biased probability Monte Carlo conformational searches and electrostatic calculations for peptides and proteins.

    Ruben Abagyan;Maxim Totrov

  • Structure of the human histamine H1 receptor complex with doxepin.

    Tatsuro Shimamura;Tatsuro Shimamura;Mitsunori Shiroishi;Mitsunori Shiroishi;Simone Weyand;Hirokazu Tsujimoto

  • Virtual ligand screening of the p300/CBP histone acetyltransferase: identification of a selective small molecule inhibitor.

    Erin M. Bowers;Gai Yan;Chandrani Mukherjee;Andrew Orry

  • Methods of Protein Structure Comparison

    Irina Kufareva;Ruben Abagyan

  • Flexible ligand docking to multiple receptor conformations: a practical alternative.

    Maxim Totrov;Ruben Abagyan

  • Flexible protein-ligand docking by global energy optimization in internal coordinates.

    Maxim Totrov;Ruben Abagyan

  • Pocketome via Comprehensive Identification and Classification of Ligand Binding Envelopes

    Jianghong An;Maxim Totrov;Ruben Abagyan

  • Protein flexibility in ligand docking and virtual screening to protein kinases.

    Claudio N. Cavasotto;Ruben A. Abagyan

  • High-throughput docking for lead generation.

    Ruben Abagyan;Maxim Totrov

  • Lanosterol reverses protein aggregation in cataracts

    Ling Zhao;Xiang-Jun Chen;Jie Zhu;Yi-Bo Xi

  • Comparative study of several algorithms for flexible ligand docking.

    Badry D. Bursulaya;Maxim Totrov;Ruben Abagyan;Charles L. Brooks

  • Crystal structure of the chemokine receptor CXCR4 in complex with a viral chemokine

    Ling Qin;Irina Kufareva;Lauren G. Holden;Chong Wang

  • Identification and analysis of PH domain-containing targets of phosphatidylinositol 3-kinase using a novel in vivo assay in yeast.

    Steven J. Isakoff;Tim Cardozo;Julian Andreev;Zhai Li

  • Conserved Binding Mode of Human β2 Adrenergic Receptor Inverse Agonists and Antagonist Revealed by X-ray Crystallography

    Daniel Wacker;Gustavo Fenalti;Monica A. Brown;Vsevolod Katritch

  • The GPCR Network: a large-scale collaboration to determine human GPCR structure and function.

    Raymond C. Stevens;Vadim Cherezov;Vsevolod Katritch;Ruben Abagyan

Frequent Co-Authors

Vsevolod Katritch
Vsevolod Katritch University of Southern California
Patrick M. Sexton
Patrick M. Sexton Monash University
Raymond C. Stevens
Raymond C. Stevens University of Southern California
Mark Yeager
Mark Yeager University of Miami
Tracy M. Handel
Tracy M. Handel University of Montana
Vadim Cherezov
Vadim Cherezov University of Southern California
Juan Fernández-Recio
Juan Fernández-Recio Spanish National Research Council
Arthur Christopoulos
Arthur Christopoulos Monash University
Claude Cochet
Claude Cochet Grenoble Alpes University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Best Scientists Citing Ruben Abagyan

Trending Scientists

Recently Published Articles