Literature DB >> 16022185

High-throughput screening-driven lead discovery: meeting the challenges of finding new therapeutics.

Bruce A Posner1.   

Abstract

The pharmaceutical industry faces a number of challenges that have cumulatively led to a decline in productivity, despite increasing levels of investment in research and development. It is in this context that some researchers and business analysts are questioning the value of the high-throughput screening (HTS) paradigm for the discovery of new therapeutics. While this criticism may be premature, significant changes are occurring in HTS-driven lead discovery to address the failure of drug candidates in the clinic. This article highlights some of these changes and their potential impact.

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Year:  2005        PMID: 16022185

Source DB:  PubMed          Journal:  Curr Opin Drug Discov Devel        ISSN: 1367-6733


  7 in total

1.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

Authors:  Robert Powers
Journal:  Expert Opin Drug Discov       Date:  2009-10-01       Impact factor: 6.098

2.  Development and validation of a modular, extensible docking program: DOCK 5.

Authors:  Demetri T Moustakas; P Therese Lang; Scott Pegg; Eric Pettersen; Irwin D Kuntz; Natasja Brooijmans; Robert C Rizzo
Journal:  J Comput Aided Mol Des       Date:  2006-12-06       Impact factor: 3.686

3.  Three classes of glucocerebrosidase inhibitors identified by quantitative high-throughput screening are chaperone leads for Gaucher disease.

Authors:  Wei Zheng; Janak Padia; Daniel J Urban; Ajit Jadhav; Ozlem Goker-Alpan; Anton Simeonov; Ehud Goldin; Douglas Auld; Mary E LaMarca; James Inglese; Christopher P Austin; Ellen Sidransky
Journal:  Proc Natl Acad Sci U S A       Date:  2007-08-01       Impact factor: 11.205

4.  Identification of Metabotropic Glutamate Receptor Subtype 5 Potentiators Using Virtual High-Throughput Screening.

Authors:  Ralf Mueller; Alice L Rodriguez; Eric S Dawson; Mariusz Butkiewicz; Thuy T Nguyen; Stephen Oleszkiewicz; Annalen Bleckmann; C David Weaver; Craig W Lindsley; P Jeffrey Conn; Jens Meiler
Journal:  ACS Chem Neurosci       Date:  2010-01-28       Impact factor: 4.418

5.  High throughput single molecule detection for monitoring biochemical reactions.

Authors:  Paul I Okagbare; Steven A Soper
Journal:  Analyst       Date:  2008-11-24       Impact factor: 4.616

6.  Minimal pharmacophoric elements and fragment hopping, an approach directed at molecular diversity and isozyme selectivity. Design of selective neuronal nitric oxide synthase inhibitors.

Authors:  Haitao Ji; Benjamin Z Stanton; Jotaro Igarashi; Huiying Li; Pavel Martásek; Linda J Roman; Thomas L Poulos; Richard B Silverman
Journal:  J Am Chem Soc       Date:  2008-03-06       Impact factor: 15.419

7.  BioAssay Ontology (BAO): a semantic description of bioassays and high-throughput screening results.

Authors:  Ubbo Visser; Saminda Abeyruwan; Uma Vempati; Robin P Smith; Vance Lemmon; Stephan C Schürer
Journal:  BMC Bioinformatics       Date:  2011-06-24       Impact factor: 3.169

  7 in total

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