Literature DB >> 18336217

High throughput screening informatics.

Xuefeng Bruce Ling1.   

Abstract

High throughput screening (HTS), an industrial effort to leverage developments in the areas of modern robotics, data analysis and control software, liquid handling devices, and sensitive detectors, has played a pivotal role in the drug discovery process, allowing researchers to efficiently screen millions of compounds to identify tractable small molecule modulators of a given biological process or disease state and advance them into high quality leads. As HTS throughput has significantly increased the volume, complexity, and information content of datasets, lead discovery research demands a clear corporate strategy for scientific computing and subsequent establishment of robust enterprise-wide (usually global) informatics platforms, which enable complicated HTS work flows, facilitate HTS data mining, and drive effective decision-making. The purpose of this review is, from the data analysis and handling perspective, to examine key elements in HTS operations and some essential data-related activities supporting or interfacing the screening process, and outline properties that various enabling software should have. Additionally, some general advice for corporate managers with system procurement responsibilities is offered.

Mesh:

Substances:

Year:  2008        PMID: 18336217     DOI: 10.2174/138620708783877726

Source DB:  PubMed          Journal:  Comb Chem High Throughput Screen        ISSN: 1386-2073            Impact factor:   1.339


  2 in total

1.  A high throughput imaging database of toxicological effects of nanomaterials tested on HepaRG cells.

Authors:  Elisabeth Joossens; Peter Macko; Taina Palosaari; Kirsten Gerloff; Isaac Ojea-Jiménez; Douglas Gilliland; Jaroslav Novak; Salvador Fortaner Torrent; Jean-Michel Gineste; Isabella Römer; Sophie Marie Briffa; Eugenia Valsami-Jones; Iseult Lynch; Maurice Whelan
Journal:  Sci Data       Date:  2019-05-02       Impact factor: 6.444

2.  BioAssay ontology annotations facilitate cross-analysis of diverse high-throughput screening data sets.

Authors:  Stephan C Schürer; Uma Vempati; Robin Smith; Mark Southern; Vance Lemmon
Journal:  J Biomol Screen       Date:  2011-04
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.