Literature DB >> 24972798

Industrial applications of in silico ADMET.

Bernd Beck1, Tim Geppert.   

Abstract

Quantitative structure activity relationship (QSAR) modeling has been in use for several decades now. One branch of it, in silico ADMET, became more and more important since the late 1990s as studies indicated that poor pharmacokinetics and toxicity were important causes of costly late-stage failures in drug development. In this paper we describe some of the available methods and best practice for the different stages of the in silico model building process. We also describe some more recent developments, like automated model building and the prediction probability. Finally we will discuss the use of in silico ADMET for "big data" and the importance and possible further development of interpretable models.

Entities:  

Year:  2014        PMID: 24972798     DOI: 10.1007/s00894-014-2322-5

Source DB:  PubMed          Journal:  J Mol Model        ISSN: 0948-5023            Impact factor:   1.810


  39 in total

Review 1.  ADMET in silico modelling: towards prediction paradise?

Authors:  Han van de Waterbeemd; Eric Gifford
Journal:  Nat Rev Drug Discov       Date:  2003-03       Impact factor: 84.694

2.  Descriptors, physical properties, and drug-likeness.

Authors:  Matthias Brüstle; Bernd Beck; Torsten Schindler; William King; Timothy Mitchell; Timothy Clark
Journal:  J Med Chem       Date:  2002-08-01       Impact factor: 7.446

3.  Current status of methods for defining the applicability domain of (quantitative) structure-activity relationships. The report and recommendations of ECVAM Workshop 52.

Authors:  Tatiana I Netzeva; Andrew Worth; Tom Aldenberg; Romualdo Benigni; Mark T D Cronin; Paolo Gramatica; Joanna S Jaworska; Scott Kahn; Gilles Klopman; Carol A Marchant; Glenn Myatt; Nina Nikolova-Jeliazkova; Grace Y Patlewicz; Roger Perkins; David Roberts; Terry Schultz; David W Stanton; Johannes J M van de Sandt; Weida Tong; Gilman Veith; Chihae Yang
Journal:  Altern Lab Anim       Date:  2005-04       Impact factor: 1.303

4.  A support vector machine approach to classify human cytochrome P450 3A4 inhibitors.

Authors:  Jan M Kriegl; Thomas Arnhold; Bernd Beck; Thomas Fox
Journal:  J Comput Aided Mol Des       Date:  2005-03       Impact factor: 3.686

5.  Feature trees: a new molecular similarity measure based on tree matching.

Authors:  M Rarey; J S Dixon
Journal:  J Comput Aided Mol Des       Date:  1998-09       Impact factor: 3.686

6.  The inhibition of alpha-chymotrypsin predicted using theoretically derived molecular properties.

Authors:  B Beck; R C Glen; T Clark
Journal:  J Mol Graph       Date:  1996-06

7.  Trust, but verify: on the importance of chemical structure curation in cheminformatics and QSAR modeling research.

Authors:  Denis Fourches; Eugene Muratov; Alexander Tropsha
Journal:  J Chem Inf Model       Date:  2010-07-26       Impact factor: 4.956

8.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

9.  Comprehensive characterization of cytochrome P450 isozyme selectivity across chemical libraries.

Authors:  Henrike Veith; Noel Southall; Ruili Huang; Tim James; Darren Fayne; Natalia Artemenko; Min Shen; James Inglese; Christopher P Austin; David G Lloyd; Douglas S Auld
Journal:  Nat Biotechnol       Date:  2009-10-25       Impact factor: 54.908

Review 10.  Machine learning and its applications to biology.

Authors:  Adi L Tarca; Vincent J Carey; Xue-wen Chen; Roberto Romero; Sorin Drăghici
Journal:  PLoS Comput Biol       Date:  2007-06       Impact factor: 4.475

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  2 in total

1.  Synergistic antibacterial effects of herbal extracts and antibiotics on methicillin-resistant Staphylococcus aureus: A computational and experimental study.

Authors:  Chiu-Fai Kuok; Sai-On Hoi; Chi-Fai Hoi; Chi-Hong Chan; Io-Hong Fong; Cheong-Kei Ngok; Li-Rong Meng; Pedro Fong
Journal:  Exp Biol Med (Maywood)       Date:  2017-01-01

2.  Design, biological evaluation and 3D QSAR studies of novel dioxin-containing pyrazoline derivatives with thiourea skeleton as selective HER-2 inhibitors.

Authors:  Bing Yang; Yu-Shun Yang; Na Yang; Guigen Li; Hai-Liang Zhu
Journal:  Sci Rep       Date:  2016-06-08       Impact factor: 4.379

  2 in total

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