Your browser doesn't support javascript.
loading
Predicting kinase inhibitors using bioactivity matrix derived informer sets.
Zhang, Huikun; Ericksen, Spencer S; Lee, Ching-Pei; Ananiev, Gene E; Wlodarchak, Nathan; Yu, Peng; Mitchell, Julie C; Gitter, Anthony; Wright, Stephen J; Hoffmann, F Michael; Wildman, Scott A; Newton, Michael A.
Affiliation
  • Zhang H; Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Ericksen SS; Small Molecule Screening Facility, Drug Development Core, UW-Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Lee CP; Department of Mathematics and Institute for Mathematical Science, National University of Singapore, Singapore.
  • Ananiev GE; Small Molecule Screening Facility, Drug Development Core, UW-Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Wlodarchak N; Department of Medicine, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Yu P; Department of Statistics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Mitchell JC; Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, Tennesse, United States of America.
  • Gitter A; Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Wright SJ; Morgridge Institute for Research, Madison, Wisconsin, United States of America.
  • Hoffmann FM; Department of Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Wildman SA; Small Molecule Screening Facility, Drug Development Core, UW-Carbone Cancer Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
  • Newton MA; Department of Oncology, McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin, United States of America.
PLoS Comput Biol ; 15(8): e1006813, 2019 08.
Article in En | MEDLINE | ID: mdl-31381559
Subject(s)
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Kinase Inhibitors / Drug Discovery Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Protein Kinase Inhibitors / Drug Discovery Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: PLoS Comput Biol Journal subject: BIOLOGIA / INFORMATICA MEDICA Year: 2019 Document type: Article Affiliation country: Estados Unidos Country of publication: Estados Unidos