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Computer Science

D-Index
49
Citations
11856
World Ranking
5809
National Ranking
2640

Overview

Eugene N. Muratov is affiliated with the University of North Carolina at Chapel Hill in the United States. Their research work predominantly falls within the field of Biochemistry, Genetics and Molecular Biology with a significant focus on Molecular Biology and Computational Theory and Mathematics. Their scientific contributions also extend into Infectious Diseases, Public Health, Environmental and Occupational Health, and Organic Chemistry.

The main topics addressed in their publications include Computational Drug Discovery Methods, Bioinformatics and Genomic Networks, SARS-CoV-2 and COVID-19 Research, Animal Testing and Alternatives, Metabolomics and Mass Spectrometry Studies, Research on Leishmaniasis Studies, and Vaccines and Immunoinformatics Approaches.

Recent papers authored or co-authored by Eugene N. Muratov include:

  • QSAR without borders, 2020, Chemical Society Reviews
  • A critical overview of computational approaches employed for COVID-19 drug discovery, 2021, Chemical Society Reviews
  • CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity, 2020, Environmental Health Perspectives
  • STopTox: An in Silico Alternative to Animal Testing for Acute Systemic and Topical Toxicity, 2022, Environmental Health Perspectives
  • Synergistic and Antagonistic Drug Combinations against SARS-CoV-2, 2020, Molecular Therapy

Eugene has collaborated frequently with several co-authors, including:

  • Alexander Tropsha
  • Vinícius M. Alves
  • Carolina Horta Andrade
  • Rodolpho C. Braga
  • Luciana Scotti

Their publications are often found in venues such as UNC Libraries, bioRxiv (Cold Spring Harbor Laboratory), OPAL (Open@LaTrobe) (La Trobe University), Journal of Chemical Information and Modeling, and Environmental Health Perspectives.

Best Publications

  • QSAR Modeling: Where have you been? Where are you going to?

    Artem Cherkasov;Eugene N. Muratov;Eugene N. Muratov;Denis Fourches;Alexandre Varnek

  • Trust, But Verify: On the Importance of Chemical Structure Curation in Cheminformatics and QSAR Modeling Research

    Denis Fourches;Eugene N. Muratov;Alexander Tropsha

  • QSAR without borders

    Eugene N. Muratov;Eugene N. Muratov;Jürgen Bajorath;Robert P. Sheridan;Igor V. Tetko

  • QSAR-Based Virtual Screening: Advances and Applications in Drug Discovery.

    Bruno J. Neves;Rodolpho C. Braga;Cleber C. Melo-Filho;José Teófilo Moreira-Filho

  • Materials Cartography: Representing and Mining Materials Space Using Structural and Electronic Fingerprints

    Olexandr Isayev;Denis Fourches;Eugene N. Muratov;Corey Oses

  • CERAPP: Collaborative Estrogen Receptor Activity Prediction Project

    Kamel Mansouri;Ahmed Abdelaziz;Aleksandra Rybacka;Alessandra Roncaglioni

  • Does rational selection of training and test sets improve the outcome of QSAR modeling

    Todd M. Martin;Paul Harten;Douglas M. Young;Eugene N. Muratov;Eugene N. Muratov

  • Comprehensive characterization of the Published Kinase Inhibitor Set

    Jonathan M. Elkins;Vita Fedele;Marta Szklarz;Kamal R. Abdul Azeez

  • Trust, but Verify II: A Practical Guide to Chemogenomics Data Curation

    Denis Fourches;Eugene N. Muratov;Alexander Tropsha

  • Applicability domains for classification problems: Benchmarking of distance to models for Ames mutagenicity set.

    Iurii Sushko;Sergii Novotarskyi;Robert Körner;Anil Kumar Pandey

  • Phantom PAINS: Problems with the Utility of Alerts for Pan-Assay INterference CompoundS

    Stephen J. Capuzzi;Eugene N. Muratov;Alexander Tropsha

  • Materials Cartography: Representing and Mining Material Space Using Structural and Electronic Fingerprints

    Olexandr Isayev;Denis Fourches;Eugene N. Muratov;Corey Oses

  • Predicting Drug-induced Hepatotoxicity Using QSAR and Toxicogenomics Approaches

    Yen Low;Takeki Uehara;Yohsuke Minowa;Hiroshi Yamada

  • Pred-hERG: A Novel web-Accessible Computational Tool for Predicting Cardiac Toxicity.

    Rodolpho C. Braga;Vinicius M. Alves;Meryck F. B. Silva;Eugene Muratov

  • Curation of chemogenomics data.

    Denis Fourches;Eugene Muratov;Alexander Tropsha

  • CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity.

    Kamel Mansouri;Nicole Kleinstreuer;Ahmed M. Abdelaziz;Domenico Alberga

  • Application of Random Forest Approach to QSAR Prediction of Aquatic Toxicity

    Pavel G. Polishchuk;Eugene N. Muratov;Anatoly G. Artemenko;Oleg G. Kolumbin

  • Hierarchical QSAR technology based on the Simplex representation of molecular structure.

    Victor Kuzmin;Anatoly G. Artemenko;Eugene N. Muratov

  • A critical overview of computational approaches employed for COVID-19 drug discovery.

    Eugene N Muratov;Rommie Amaro;Carolina H Andrade;Nathan Brown

  • Progress towards a public chemogenomic set for protein kinases and a call for contributions

    David H. Drewry;Carrow I. Wells;David M. Andrews;Richard Angell

  • Data Set Modelability by QSAR

    Alexander Golbraikh;Eugene N. Muratov;Eugene N. Muratov;Denis Fourches;Alexander Tropsha

Frequent Co-Authors

Alexander Tropsha
Alexander Tropsha University of North Carolina at Chapel Hill
Denis Fourches
Denis Fourches North Carolina State University
Peter Wutzler
Peter Wutzler Friedrich Schiller University Jena
Anton Simeonov
Anton Simeonov National Institutes of Health
Igor V. Tetko
Igor V. Tetko Helmholtz Zentrum München
Sean Ekins
Sean Ekins University of Arizona
Olexandr Isayev
Olexandr Isayev Carnegie Mellon University
David A. Winkler
David A. Winkler La Trobe University
Timothy M. Willson
Timothy M. Willson University of North Carolina at Chapel Hill
Nathanael S. Gray
Nathanael S. Gray Stanford University

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