| Literature DB >> 28223231 |
Abstract
Drug discovery is a multidisciplinary and multivariate optimization endeavor. As such, in silico screening tools have gained considerable importance to archive, analyze and exploit the vast and ever-increasing amount of experimental data generated throughout the process. The current review will focus on the computer-aided prediction of the numerous properties that need to be controlled during the discovery of a preliminary hit and its promotion to a viable clinical candidate. It does not pretend to the almost impossible task of an exhaustive report but will highlight a few key points that need to be collectively addressed both by chemists and biologists to fuel the drug discovery pipeline with innovative and safe drug candidates.Keywords: Hit; Pharmacokinetics; Profile; Safety; Screening; Target
Mesh:
Year: 2017 PMID: 28223231 DOI: 10.1016/j.pharmthera.2017.02.034
Source DB: PubMed Journal: Pharmacol Ther ISSN: 0163-7258 Impact factor: 12.310