Kinome-wide Activity Modeling from Diverse Public High-Quality Data Sets

Journal article

Open access

Peer reviewed

Stephan C SCHÜRER and Steven M MUSKAL

Journal of chemical information and modeling, Vol.53(1), pp.27-38

2013

PMID: 23259810

Abstract

Analytical, structural and metabolic biochemistry

Memory organisation. Data processing

Transferases

Exact sciences and technology

Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions

Biological and medical sciences

Medical sciences

Computer science; control theory; systems

Data processing. List processing. Character string processing

Fundamental and applied biological sciences. Psychology

Enzymes and enzyme inhibitors

General pharmacology

Information systems. Data bases

Pharmacology. Drug treatments

Applied sciences

Software

url

https://doi.org/10.1021/ci300403kView

Published (Version of record) Open

8 Record Views

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Citation topics: 2 Chemistry; 2.123 Protein Stucture, Folding & Modelling; 2.123.13 Protein Folding
Web Of Science research areas: Chemistry, Medicinal; Chemistry, Multidisciplinary; Computer Science, Information Systems; Computer Science, Interdisciplinary Applications
ESI research areas: Chemistry

This output has contributed to the advancement of the following goals:

Source: InCites

Title: Kinome-wide Activity Modeling from Diverse Public High-Quality Data Sets
Creators: Stephan C SCHÜRER - Department of Molecular and Cellular Pharmacology, Miller School of Medicine and Center for Computational Science, University of Miami, Miami, Florida 33136, United States
Steven M MUSKAL - Eidogen-Sertanty, Inc., 3460 Marron Road No. 103-475, Oceanside, California 92056, United States
Publication Details: Journal of chemical information and modeling, Vol.53(1), pp.27-38
Publisher: American Chemical Society; Washington, DC
Academic Unit: Miller School of Medicine; Molecular and Cellular Pharmacology Research
Language: English
Resource Type: Journal article
PMID: 23259810
Record Identifier: 991031561751402976