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Scientific Reports|June 11, 2016
Predictive modeling targets thymidylate synthase ThyX in Mycobacterium tuberculosisKamel Djaout, Vinayak Singh, Yap Boum, et al.
ACS Infectious Diseases|January 12, 2021
A Machine Learning Strategy for Drug Discovery Identifies Anti-Schistosomal Small MoleculesKimberley M Zorn, Shengxi Sun, Cecelia L McConnon, et al.
Plos One|September 6, 2018
Characterization of new, efficient Mycobacterium tuberculosis topoisomerase-I inhibitors and their interaction with human ABC multidrug transportersCsilla Temesszentandrási-Ambrus, Szilárd Tóth, Rinkee Verma, et al.
Molecular Pharmacology|April 19, 2002
Three-dimensional quantitative structure-activity relationships of inhibitors of P-glycoproteinSean Ekins, Richard B Kim, Brenda F Leake, et al.
Molecular Pharmacology|April 19, 2002
Application of three-dimensional quantitative structure-activity relationships of P-glycoprotein inhibitors and substratesSean Ekins, Richard B Kim, Brenda F Leake, et al.
Plos Neglected Tropical Diseases|June 27, 2015
Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug DiscoverySean Ekins, Jair Lage de Siqueira-Neto, Laura-Isobel McCall, et al.
F1000Research|April 23, 2015
A brief review of recent Charcot-Marie-Tooth research and prioritiesSean Ekins, Nadia K Litterman, Renée J G Arnold, et al.
ACS Infectious Diseases|June 24, 2022
Rickettsia Aglow: A Fluorescence Assay and Machine Learning Model to Identify Inhibitors of Intracellular InfectionAlexander Lemenze, Nisha Mittal, Alexander L Perryman, et al.
Drug Discovery Today|April 23, 2020
Déjà vu: Stimulating open drug discovery for SARS-CoV-2Sean Ekins, Melina Mottin, Paulo R P S Ramos, et al.
Tuberculosis (Edinburgh, Scotland)|March 3, 2024
Computational drug repositioning identifies niclosamide and tribromsalan as inhibitors of Mycobacterium tuberculosis and Mycobacterium abscessusJeremy J Yang, Aaron Goff, David J Wild, et al.
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