Literature DB >> 18660458

The future of high-throughput screening.

Lorenz M Mayr1, Peter Fuerst.   

Abstract

High-throughput screening (HTS) is a well-established process in lead discovery for pharma and biotech companies and is now also being set up for basic and applied research in academia and some research hospitals. Since its first advent in the early to mid-1990s, the field of HTS has seen not only a continuous change in technology and processes but also an adaptation to various needs in lead discovery. HTS has now evolved into a quite mature discipline of modern drug discovery. Whereas in previous years, much emphasis has been put toward a steady increase in capacity ("quantitative increase") via various strategies in the fields of automation and miniaturization, the past years have seen a steady shift toward higher content and quality ("quality increase") for these biological test systems. Today, many experts in the field see HTS at the crossroads with the need to decide either toward further increase in throughput or more focus toward relevance of biological data. In this article, the authors describe the development of HTS over the past decade and point out their own ideas for future directions of HTS in biomedical research. They predict that the trend toward further miniaturization will slow down with the implementation of 384-well, 1536-well, and 384 low-volume-well plates. The authors predict that, ultimately, each hit-finding strategy will be much more project related, tailor-made, and better integrated into the broader drug discovery efforts.

Entities:  

Mesh:

Year:  2008        PMID: 18660458     DOI: 10.1177/1087057108319644

Source DB:  PubMed          Journal:  J Biomol Screen        ISSN: 1087-0571


  45 in total

Review 1.  Diagnosing the decline in pharmaceutical R&D efficiency.

Authors:  Jack W Scannell; Alex Blanckley; Helen Boldon; Brian Warrington
Journal:  Nat Rev Drug Discov       Date:  2012-03-01       Impact factor: 84.694

2.  Next-Generation TLC: A Quantitative Platform for Parallel Spotting and Imaging.

Authors:  Alexander A Boulgakov; Sarah R Moor; Hyun Hwa Jo; Pedro Metola; Leo A Joyce; Edward M Marcotte; Christopher J Welch; Eric V Anslyn
Journal:  J Org Chem       Date:  2020-07-06       Impact factor: 4.354

3.  Advances in Nuclear Magnetic Resonance for Drug Discovery.

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

4.  High content screening for inhibitors of protein interactions and post-translational modifications in primary cells by proximity ligation.

Authors:  Karl-Johan Leuchowius; Malin Jarvius; Malin Wickström; Linda Rickardson; Ulf Landegren; Rolf Larsson; Ola Söderberg; Mårten Fryknäs; Jonas Jarvius
Journal:  Mol Cell Proteomics       Date:  2009-10-27       Impact factor: 5.911

Review 5.  Efficacy-oriented compatibility for component-based Chinese medicine.

Authors:  Jun-hua Zhang; Yan Zhu; Xiao-hui Fan; Bo-li Zhang
Journal:  Acta Pharmacol Sin       Date:  2015-04-13       Impact factor: 6.150

6.  A compact low-cost low-maintenance open architecture mask aligner for fabrication of multilayer microfluidics devices.

Authors:  Q L Pham; N A N Tong; A Mathew; S Basuray; R S Voronov
Journal:  Biomicrofluidics       Date:  2018-08-22       Impact factor: 2.800

7.  Adapting human pluripotent stem cells to high-throughput and high-content screening.

Authors:  Sabrina C Desbordes; Lorenz Studer
Journal:  Nat Protoc       Date:  2012-12-20       Impact factor: 13.491

8.  Efficient drug screening and gene correction for treating liver disease using patient-specific stem cells.

Authors:  Su Mi Choi; Yonghak Kim; Joong Sup Shim; Joon Tae Park; Rui-Hong Wang; Steven D Leach; Jun O Liu; Chuxia Deng; Zhaohui Ye; Yoon-Young Jang
Journal:  Hepatology       Date:  2013-06       Impact factor: 17.425

9.  An informatic pipeline for managing high-throughput screening experiments and analyzing data from stereochemically diverse libraries.

Authors:  Carol A Mulrooney; David L Lahr; Michael J Quintin; Willmen Youngsaye; Dennis Moccia; Jacob K Asiedu; Evan L Mulligan; Lakshmi B Akella; Lisa A Marcaurelle; Philip Montgomery; Joshua A Bittker; Paul A Clemons; Stephen Brudz; Sivaraman Dandapani; Jeremy R Duvall; Nicola J Tolliday; Andrea De Souza
Journal:  J Comput Aided Mol Des       Date:  2013-04-13       Impact factor: 3.686

Review 10.  HTS and hit finding in academia--from chemical genomics to drug discovery.

Authors:  Julie A Frearson; Iain T Collie
Journal:  Drug Discov Today       Date:  2009-09-28       Impact factor: 7.851

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