Literature DB >> 16416245

Automated QSPR through Competitive Workflow.

J Cartmell1, S Enoch, D Krstajic, D E Leahy.   

Abstract

This paper describes a novel software architecture, Competitive Workflow, which implements workflow as a distributed and competitive multi-agent system. The implementation of a competitive workflow architecture designed to model important computer-aided molecular design workflows, the Discovery Bus, is described. QSPR modelling results for three example ADME datasets, for solubility, human plasma protein binding and P-glycoprotein substrates using an autonomous QSPR modelling workflow implemented on the Discovery Bus are presented. The autonomous QSPR system allows exhaustive exploration of descriptor and model space, automated model validation and continuous updating as new data and methods are made available. Prediction of properties of novel structures by an ensemble of models is also a feature of the system.

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Year:  2006        PMID: 16416245     DOI: 10.1007/s10822-005-9029-8

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


  18 in total

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Review 4.  Biochemical, cellular, and pharmacological aspects of the multidrug transporter.

Authors:  S V Ambudkar; S Dey; C A Hrycyna; M Ramachandra; I Pastan; M M Gottesman
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5.  A method for quantifying and visualizing the diversity of QSAR models.

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6.  Prediction of P-glycoprotein substrates by a support vector machine approach.

Authors:  Y Xue; C W Yap; L Z Sun; Z W Cao; J F Wang; Y Z Chen
Journal:  J Chem Inf Comput Sci       Date:  2004 Jul-Aug

7.  An automated PLS search for biologically relevant QSAR descriptors.

Authors:  Marius Olah; Cristian Bologa; Tudor I Oprea
Journal:  J Comput Aided Mol Des       Date:  2004 Jul-Sep       Impact factor: 3.686

Review 8.  P-glycoprotein and multidrug resistance.

Authors:  M M Gottesman; I Pastan; S V Ambudkar
Journal:  Curr Opin Genet Dev       Date:  1996-10       Impact factor: 5.578

9.  High-throughput approaches for evaluating absorption, distribution, metabolism and excretion properties of lead compounds.

Authors:  M H Tarbit; J Berman
Journal:  Curr Opin Chem Biol       Date:  1998-06       Impact factor: 8.822

Review 10.  Structure and mechanism of ABC transporters.

Authors:  Lutz Schmitt; Robert Tampé
Journal:  Curr Opin Struct Biol       Date:  2002-12       Impact factor: 6.809

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  6 in total

1.  Automatic QSAR modeling of ADME properties: blood-brain barrier penetration and aqueous solubility.

Authors:  Olga Obrezanova; Joelle M R Gola; Edmund J Champness; Matthew D Segall
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Journal:  Medchemcomm       Date:  2011-05       Impact factor: 3.597

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5.  QSAR workbench: automating QSAR modeling to drive compound design.

Authors:  Richard Cox; Darren V S Green; Christopher N Luscombe; Noj Malcolm; Stephen D Pickett
Journal:  J Comput Aided Mol Des       Date:  2013-04-25       Impact factor: 3.686

6.  Using Pareto points for model identification in predictive toxicology.

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  6 in total

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