Literature DB >> 23636795

Cheminformatics aspects of high throughput screening: from robots to models: symposium summary.

Y Jane Tseng1, Eric Martin, Cristian G Bologa, Anang A Shelat.   

Abstract

The "Cheminformatics aspects of high throughput screening (HTS): from robots to models" symposium was part of the computers in chemistry technical program at the American Chemical Society National Meeting in Denver, Colorado during the fall of 2011. This symposium brought together researchers from high throughput screening centers and molecular modelers from academia and industry to discuss the integration of currently available high throughput screening data and assays with computational analysis. The topics discussed at this symposium covered the data-infrastructure at various academic, hospital, and National Institutes of Health-funded high throughput screening centers, the cheminformatics and molecular modeling methods used in real world examples to guide screening and hit-finding, and how academic and non-profit organizations can benefit from current high throughput screening cheminformatics resources. Specifically, this article also covers the remarks and discussions in the open panel discussion of the symposium and summarizes the following talks on "Accurate Kinase virtual screening: biochemical, cellular and selectivity", "Selective, privileged and promiscuous chemical patterns in high-throughput screening" and "Visualizing and exploring relationships among HTS hits using network graphs".

Entities:  

Mesh:

Year:  2013        PMID: 23636795      PMCID: PMC4205101          DOI: 10.1007/s10822-013-9646-6

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  22 in total

1.  The hidden component of size in two-dimensional fragment descriptors: side effects on sampling in bioactive libraries.

Authors:  S L Dixon; R T Koehler
Journal:  J Med Chem       Date:  1999-07-29       Impact factor: 7.446

2.  A specific mechanism of nonspecific inhibition.

Authors:  Susan L McGovern; Brian T Helfand; Brian Feng; Brian K Shoichet
Journal:  J Med Chem       Date:  2003-09-25       Impact factor: 7.446

3.  Kinase-kernel models: accurate in silico screening of 4 million compounds across the entire human kinome.

Authors:  Eric Martin; Prasenjit Mukherjee
Journal:  J Chem Inf Model       Date:  2012-01-06       Impact factor: 4.956

4.  ALARM NMR: a rapid and robust experimental method to detect reactive false positives in biochemical screens.

Authors:  Jeffrey R Huth; Renaldo Mendoza; Edward T Olejniczak; Robert W Johnson; Darlene A Cothron; Yaya Liu; Claude G Lerner; Jun Chen; Philip J Hajduk
Journal:  J Am Chem Soc       Date:  2005-01-12       Impact factor: 15.419

5.  Matched molecular pairs as a guide in the optimization of pharmaceutical properties; a study of aqueous solubility, plasma protein binding and oral exposure.

Authors:  Andrew G Leach; Huw D Jones; David A Cosgrove; Peter W Kenny; Linette Ruston; Philip MacFaul; J Matthew Wood; Nicola Colclough; Brian Law
Journal:  J Med Chem       Date:  2006-11-16       Impact factor: 7.446

6.  The scaffold tree--visualization of the scaffold universe by hierarchical scaffold classification.

Authors:  Ansgar Schuffenhauer; Peter Ertl; Silvio Roggo; Stefan Wetzel; Marcus A Koch; Herbert Waldmann
Journal:  J Chem Inf Model       Date:  2007 Jan-Feb       Impact factor: 4.956

7.  Enhancement of chemical rules for predicting compound reactivity towards protein thiol groups.

Authors:  James T Metz; Jeffrey R Huth; Philip J Hajduk
Journal:  J Comput Aided Mol Des       Date:  2007-03-06       Impact factor: 3.686

8.  Clustering and rule-based classifications of chemical structures evaluated in the biological activity space.

Authors:  Ansgar Schuffenhauer; Nathan Brown; Peter Ertl; Jeremy L Jenkins; Paul Selzer; Jacques Hamon
Journal:  J Chem Inf Model       Date:  2007-02-08       Impact factor: 4.956

9.  Virtual and biomolecular screening converge on a selective agonist for GPR30.

Authors:  Cristian G Bologa; Chetana M Revankar; Susan M Young; Bruce S Edwards; Jeffrey B Arterburn; Alexander S Kiselyov; Matthew A Parker; Sergey E Tkachenko; Nikolay P Savchuck; Larry A Sklar; Tudor I Oprea; Eric R Prossnitz
Journal:  Nat Chem Biol       Date:  2006-03-05       Impact factor: 15.040

10.  HierS: hierarchical scaffold clustering using topological chemical graphs.

Authors:  Steven J Wilkens; Jeff Janes; Andrew I Su
Journal:  J Med Chem       Date:  2005-05-05       Impact factor: 7.446

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  2 in total

Review 1.  An Overview of the Challenges in Designing, Integrating, and Delivering BARD: A Public Chemical-Biology Resource and Query Portal for Multiple Organizations, Locations, and Disciplines.

Authors:  Andrea de Souza; Joshua A Bittker; David L Lahr; Steve Brudz; Simon Chatwin; Tudor I Oprea; Anna Waller; Jeremy J Yang; Noel Southall; Rajarshi Guha; Stephan C Schürer; Uma D Vempati; Mark R Southern; Eric S Dawson; Paul A Clemons; Thomas D Y Chung
Journal:  J Biomol Screen       Date:  2014-01-17

2.  Badapple: promiscuity patterns from noisy evidence.

Authors:  Jeremy J Yang; Oleg Ursu; Christopher A Lipinski; Larry A Sklar; Tudor I Oprea; Cristian G Bologa
Journal:  J Cheminform       Date:  2016-05-28       Impact factor: 5.514

  2 in total

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