World's Best Scientists 2026 revealed!

D-Index & Metrics

Biology and Biochemistry

D-Index
91
Citations
25388
World Ranking
2361
National Ranking
1258

Overview

Sean Ekins is affiliated with the University of Arizona in the United States and has contributed extensively to the fields of Medicine and Biochemistry, Genetics and Molecular Biology. Their research spans multiple subfields, including Infectious Diseases, Molecular Biology, Computational Theory and Mathematics, Pharmacology, and Epidemiology.

The scientist's work focuses significantly on topics such as Computational Drug Discovery Methods, SARS-CoV-2 and COVID-19 Research, mosquito-borne diseases and control, viral infections and outbreaks research, pharmacogenetics and drug metabolism, machine learning in materials science, and COVID-19 clinical research studies.

Recent publications by Sean Ekins include:

  • Dual use of artificial-intelligence-powered drug discovery, 2022, Nature Machine Intelligence
  • A critical overview of computational approaches employed for COVID-19 drug discovery, 2021, Chemical Society Reviews
  • Quantum Machine Learning Algorithms for Drug Discovery Applications, 2021, Journal of Chemical Information and Modeling
  • CATMoS: Collaborative Acute Toxicity Modeling Suite, 2021, Environmental Health Perspectives
  • Repurposing Quaternary Ammonium Compounds as Potential Treatments for COVID-19, 2020, Pharmaceutical Research

Frequent co-authors collaborating with Sean Ekins include:

  • Thomas R. Lane
  • Ana C. Puhl
  • Kimberley M. Zorn
  • Fabio Urbina
  • Daniel H. Foil

Publications have appeared in several venues, with the most frequent being:

  • ACS Omega
  • bioRxiv (Cold Spring Harbor Laboratory)
  • UNC Libraries
  • GEN Biotechnology
  • Journal of Chemical Information and Modeling

Best Publications

  • In silico pharmacology for drug discovery: methods for virtual ligand screening and profiling

    S Ekins;J Mestres;B Testa

  • In silico pharmacology for drug discovery: applications to targets and beyond

    S Ekins;J Mestres;B Testa

  • Exploiting machine learning for end-to-end drug discovery and development

    Sean Ekins;Ana C. Puhl;Kimberley M. Zorn;Thomas R. Lane

  • Progress in predicting human ADME parameters in silico.

    Sean Ekins;Chris L Waller;Peter W Swaan;Gabriele Cruciani

  • Pathway mapping tools for analysis of high content data.

    Sean Ekins;Yuri Nikolsky;Andrej Bugrim;Eugene Kirillov

  • Comparison of Deep Learning With Multiple Machine Learning Methods and Metrics Using Diverse Drug Discovery Data Sets.

    Alexandru Korotcov;Valery Tkachenko;Daniel P. Russo;Sean Ekins

  • In silico repositioning of approved drugs for rare and neglected diseases

    Sean Ekins;Antony J. Williams;Matthew D. Krasowski;Joel S. Freundlich

  • Pharmacophore and three-dimensional quantitative structure activity relationship methods for modeling cytochrome p450 active sites.

    Sean Ekins;Marcel J. de Groot;Jeffrey P. Jones

  • Three-Dimensional Quantitative Structure-Activity Relationship for Inhibition of Human Ether-a-Go-Go-Related Gene Potassium Channel

    Sean Ekins;William J. Crumb;R. Dustan Sarazan;James H. Wikel

  • Towards a new age of virtual ADME/TOX and multidimensional drug discovery

    Sean Ekins;Bruno Boulanger;Peter W. Swaan;Maggie A.Z. Hupcey

  • Present and future in vitro approaches for drug metabolism.

    Sean Ekins;Barbara J. Ring;James Grace;Donna J. McRobie-Belle

  • Application of three-dimensional quantitative structure-activity relationships of P-glycoprotein inhibitors and substrates.

    Sean Ekins;Richard B. Kim;Brenda F. Leake;Anne H. Dantzig

  • The Next Era: Deep Learning in Pharmaceutical Research.

    Sean Ekins

  • Design, synthesis, cytoselective toxicity, structure-activity relationships, and pharmacophore of thiazolidinone derivatives targeting drug-resistant lung cancer cells.

    Hongyu Zhou;Shuhong Wu;Shumei Zhai;Aifeng Liu

  • Techniques: application of systems biology to absorption, distribution, metabolism, excretion and toxicity.

    Sean Ekins;Yuri Nikolsky;Tatiana Nikolskaya

  • Three-dimensional quantitative structure-activity relationships of inhibitors of P-glycoprotein.

    Sean Ekins;Richard B. Kim;Brenda F. Leake;Anne H. Dantzig

  • THE ROLE OF CYP2B6 IN HUMAN XENOBIOTIC METABOLISM

    Sean Ekins;Steven A. Wrighton

  • Further Characterization of the Expression in Liver and Catalytic Activity of CYP2B6

    Sean Ekins;Mark Vandenbranden;Barbara J. Ring;Jennifer S. Gillespie

  • A Pharmacophore for Human Pregnane X Receptor Ligands

    Sean Ekins;Jon A. Erickson

  • Cross-reactivity of steroid hormone immunoassays: clinical significance and two-dimensional molecular similarity prediction

    Matthew D Krasowski;Denny Drees;Cory S Morris;Jon Maakestad

Frequent Co-Authors

Antony J. Williams
Antony J. Williams Environmental Protection Agency
Peter W. Swaan
Peter W. Swaan University of Maryland, Baltimore
Steven A. Wrighton
Steven A. Wrighton Eli Lilly (United States)
Yuri Nikolsky
Yuri Nikolsky F1 Genomics
Valakunja Nagaraja
Valakunja Nagaraja Indian Institute of Science
Erin G. Schuetz
Erin G. Schuetz St. Jude Children's Research Hospital
Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill
Michael R. Holbrook
Michael R. Holbrook National Institutes of Health
Giovanna Riccardi
Giovanna Riccardi University of Pavia
Carolyn L. Talcott
Carolyn L. Talcott SRI International

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