Literature DB >> 20020913

In silico tools for sharing data and knowledge on toxicity and metabolism: derek for windows, meteor, and vitic.

Carol A Marchant1, Katharine A Briggs, Anthony Long.   

Abstract

ABSTRACT Lhasa Limited is a not-for-profit organization that exists to promote the sharing of data and knowledge in chemistry and the life sciences. It has developed the software tools Derek for Windows, Meteor, and Vitic to facilitate such sharing. Derek for Windows and Meteor are knowledge-based expert systems that predict the toxicity and metabolism of a chemical, respectively. Vitic is a chemically intelligent toxicity database. An overview of each software system is provided along with examples of the sharing of data and knowledge in the context of their development. These examples include illustrations of (1) the use of data entry and editing tools for the sharing of data and knowledge within organizations; (2) the use of proprietary data to develop nonconfidential knowledge that can be shared between organizations; (3) the use of shared expert knowledge to refine predictions; (4) the sharing of proprietary data between organizations through the formation of data-sharing groups; and (5) the use of proprietary data to validate predictions. Sharing of chemical toxicity and metabolism data and knowledge in this way offers a number of benefits including the possibilities of faster scientific progress and reductions in the use of animals in testing. Maximizing the accessibility of data also becomes increasingly crucial as in silico systems move toward the prediction of more complex phenomena for which limited data are available.

Entities:  

Year:  2008        PMID: 20020913     DOI: 10.1080/15376510701857320

Source DB:  PubMed          Journal:  Toxicol Mech Methods        ISSN: 1537-6516            Impact factor:   2.987


  53 in total

1.  Predictive modeling of chemical hazard by integrating numerical descriptors of chemical structures and short-term toxicity assay data.

Authors:  Ivan Rusyn; Alexander Sedykh; Yen Low; Kathryn Z Guyton; Alexander Tropsha
Journal:  Toxicol Sci       Date:  2012-03-02       Impact factor: 4.849

2.  Use of big data in drug development for precision medicine.

Authors:  Rosa S Kim; Nicolas Goossens; Yujin Hoshida
Journal:  Expert Rev Precis Med Drug Dev       Date:  2016-04-28

3.  In silico enzymatic synthesis of a 400,000 compound biochemical database for nontargeted metabolomics.

Authors:  Lochana C Menikarachchi; Dennis W Hill; Mai A Hamdalla; Ion I Mandoiu; David F Grant
Journal:  J Chem Inf Model       Date:  2013-09-12       Impact factor: 4.956

4.  Establishing synthesis pathway-host compatibility via enzyme solubility.

Authors:  Sara A Amin; Venkatesh Endalur Gopinarayanan; Nikhil U Nair; Soha Hassoun
Journal:  Biotechnol Bioeng       Date:  2019-03-29       Impact factor: 4.530

5.  QSAR modeling: where have you been? Where are you going to?

Authors:  Artem Cherkasov; Eugene N Muratov; Denis Fourches; Alexandre Varnek; Igor I Baskin; Mark Cronin; John Dearden; Paola Gramatica; Yvonne C Martin; Roberto Todeschini; Viviana Consonni; Victor E Kuz'min; Richard Cramer; Romualdo Benigni; Chihae Yang; James Rathman; Lothar Terfloth; Johann Gasteiger; Ann Richard; Alexander Tropsha
Journal:  J Med Chem       Date:  2014-01-06       Impact factor: 7.446

6.  ALOHA: a novel probability fusion approach for scoring multi-parameter drug-likeness during the lead optimization stage of drug discovery.

Authors:  Derek A Debe; Ravindra B Mamidipaka; Robert J Gregg; James T Metz; Rishi R Gupta; Steven W Muchmore
Journal:  J Comput Aided Mol Des       Date:  2013-10-11       Impact factor: 3.686

7.  Identification of novel, less toxic PTP-LAR inhibitors using in silico strategies: pharmacophore modeling, SADMET-based virtual screening and docking.

Authors:  Dara Ajay; M Elizabeth Sobhia
Journal:  J Mol Model       Date:  2011-04-27       Impact factor: 1.810

Review 8.  Predicting drug metabolism: experiment and/or computation?

Authors:  Johannes Kirchmair; Andreas H Göller; Dieter Lang; Jens Kunze; Bernard Testa; Ian D Wilson; Robert C Glen; Gisbert Schneider
Journal:  Nat Rev Drug Discov       Date:  2015-04-24       Impact factor: 84.694

9.  Prediction of Hydrolysis Products of Organic Chemicals under Environmental pH Conditions.

Authors:  Caroline Tebes-Stevens; Jay M Patel; W Jack Jones; Eric J Weber
Journal:  Environ Sci Technol       Date:  2017-04-21       Impact factor: 9.028

10.  Structure-metabolism-relationships in the microsomal clearance of piperazin-1-ylpyridazines.

Authors:  Sabin Llona-Minguez; Artin Ghassemian; Pawel Baranczewski; Matthieu Desroses; Tobias Koolmeister; Per Artursson; Martin Scobie; Thomas Helleday
Journal:  Medchemcomm       Date:  2017-07-04       Impact factor: 3.597

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