Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery.
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| Title: | Machine Learning Models and Pathway Genome Data Base for Trypanosoma cruzi Drug Discovery. |
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| Authors: | Ekins S; Collaborative Drug Discovery, Burlingame, California, United States of America; Collaborations in Chemistry, Fuquay-Varina, North Carolina, United States of America., de Siqueira-Neto JL; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, California, United States of America., McCall LI; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, California, United States of America., Sarker M; SRI International, Menlo Park, California, United States of America., Yadav M; SRI International, Menlo Park, California, United States of America., Ponder EL; Chemistry, Engineering & Medicine for Human Health (ChEM-H), Stanford, California, United States of America., Kallel EA; Collaborative Drug Discovery, Burlingame, California, United States of America., Kellar D; Department of Pathology, University of California, San Francisco, San Francisco, California, United States of America., Chen S; Small Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, United States of America., Arkin M; Small Molecule Discovery Center and Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, California, United States of America., Bunin BA; Collaborative Drug Discovery, Burlingame, California, United States of America., McKerrow JH; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, San Diego, California, United States of America., Talcott C; SRI International, Menlo Park, California, United States of America. |
| Source: | PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2015 Jun 26; Vol. 9 (6), pp. e0003878. Date of Electronic Publication: 2015 Jun 26 (Print Publication: 2015). |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection Cited Medium: Internet ISSN: 1935-2735 (Electronic) Linking ISSN: 19352727 NLM ISO Abbreviation: PLoS Negl Trop Dis Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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