Literature DB >> 17637766

The academic pursuit of screening.

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Abstract

High-throughput screening has become increasingly important in academic research over the last decade. The diversity of chemical and biological space being probed by academic chemical screening, coupled with the public reporting of results, has created an important new resource of data for chemical biologists.

Mesh:

Year:  2007        PMID: 17637766     DOI: 10.1038/nchembio0807-433

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  8 in total

1.  Traditional Medicine Collection Tracking System (TM-CTS): a database for ethnobotanically driven drug-discovery programs.

Authors:  Eric S J Harris; Sean D Erickson; Andrew N Tolopko; Shugeng Cao; Jane A Craycroft; Robert Scholten; Yanling Fu; Wenquan Wang; Yong Liu; Zhongzhen Zhao; Jon Clardy; Caroline E Shamu; David M Eisenberg
Journal:  J Ethnopharmacol       Date:  2011-03-21       Impact factor: 4.360

2.  This time.

Authors: 
Journal:  Nat Chem Biol       Date:  2009-04       Impact factor: 15.040

3.  Rank ordering plate data facilitates data visualization and normalization in high-throughput screening.

Authors:  Chand S Mangat; Amrita Bharat; Sebastian S Gehrke; Eric D Brown
Journal:  J Biomol Screen       Date:  2014-05-14

4.  PoLi: A Virtual Screening Pipeline Based on Template Pocket and Ligand Similarity.

Authors:  Ambrish Roy; Bharath Srinivasan; Jeffrey Skolnick
Journal:  J Chem Inf Model       Date:  2015-08-12       Impact factor: 4.956

Review 5.  Rational methods for the selection of diverse screening compounds.

Authors:  David J Huggins; Ashok R Venkitaraman; David R Spring
Journal:  ACS Chem Biol       Date:  2011-02-15       Impact factor: 5.100

6.  Screensaver: an open source lab information management system (LIMS) for high throughput screening facilities.

Authors:  Andrew N Tolopko; John P Sullivan; Sean D Erickson; David Wrobel; Su L Chiang; Katrina Rudnicki; Stewart Rudnicki; Jennifer Nale; Laura M Selfors; Dara Greenhouse; Jeremy L Muhlich; Caroline E Shamu
Journal:  BMC Bioinformatics       Date:  2010-05-18       Impact factor: 3.169

7.  Brunn: an open source laboratory information system for microplates with a graphical plate layout design process.

Authors:  Jonathan Alvarsson; Claes Andersson; Ola Spjuth; Rolf Larsson; Jarl E S Wikberg
Journal:  BMC Bioinformatics       Date:  2011-05-20       Impact factor: 3.307

8.  Enhancing the drug discovery process: Bayesian inference for the analysis and comparison of dose-response experiments.

Authors:  Caroline Labelle; Anne Marinier; Sébastien Lemieux
Journal:  Bioinformatics       Date:  2019-07-15       Impact factor: 6.937

  8 in total

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