Correction to “A Machine Learning-Based Method To Improve Docking Scoring Functions and Its Application to Drug Repurposing” | Zendy

Sarah Kinnings | Zendy; Nina Liu | Zendy; Peter J. Tonge | Zendy; Richard M. Jackson | Zendy; Lei Xie | Zendy; Philip E. Bourne | Zendy

Open Access

Correction to “A Machine Learning-Based Method To Improve Docking Scoring Functions and Its Application to Drug Repurposing”

Author(s) -

Sarah Kinnings,

Nina Liu,

Peter J. Tonge,

Richard M. Jackson,

Lei Xie,

Philip E. Bourne

Publication year - 2011

Publication title -

journal of chemical information and modeling

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.24

H-Index - 160

eISSN - 1549-960X

pISSN - 1549-9596

DOI - 10.1021/ci2001346

Subject(s) - drug repositioning , repurposing , computer science , docking (animal) , machine learning , artificial intelligence , drug discovery , drug , computational biology , pharmacology , bioinformatics , medicine , engineering , biology , nursing , waste management

Correction to “A Machine Learning-Based Method To Improve Docking Scoring Functions and Its Application to Drug Repurposing” [Journal of Chemical Information and Modeling 2011, 51, 408–419. DOI: 10.1021/ci100369f]. Sarah L. Kinnings, Nina Liu, Peter J. Tonge,RichardM. Jackson, Lei Xie,* and Philip E. Bourne* Institute of Molecular and Cellular Biology and Astbury Centre for Structural Molecular Biology, University of Leeds, Leeds, LS2 9JT, United Kingdom Institute of Chemical Biology&DrugDiscovery, Department of Chemistry, Stony Brook University, Stony Brook, New York 11794, United States Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States Department of Computer Science, Hunter College, The City University ofNewYork,NewYork,NewYork 10065,United States

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