A Consensus Neural Network-Based Technique for Discriminating Soluble and Poorly Soluble Compounds-Reference-Cited by-同舟云学术

A Consensus Neural Network-Based Technique for Discriminating Soluble and Poorly Soluble Compounds

Published:2003-01-14 Issue:2 Volume:43 Page:674-679
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Manallack David T.¹,Tehan Benjamin G.¹,Gancia Emanuela¹,Hudson Brian D.¹,Ford Martyn G.¹,Livingstone David J.¹,Whitley David C.¹,Pitt Will R.¹

Affiliation:

1. Celltech R&D Ltd., Granta Park, Great Abington, Cambridge, CB1 6GS, United Kingdom, Department of Medicinal Chemistry, Victorian College of Pharmacy, Monash University, 381 Royal Parade, Parkville, Australia, Centre for Molecular Design, University of Portsmouth, King Henry Building, King Henry I Street, Portsmouth, Hampshire, PO1 2DY, United Kingdom, and ChemQuest, Delamere House, 1 Royal Crescent, Sandown, Isle of Wight, PO36 8LZ, United Kingdom

Publisher

American Chemical Society (ACS)

Subject

Computational Theory and Mathematics,Computer Science Applications,Information Systems,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci0202741

Reference42 articles.

1. Miniaturized HTS technologies – uHTS

2. Combinatorial chemistry: 20 years on…

3. Combinatorial Chemistry and Mass Spectrometry in the 21st Century Drug Discovery Laboratory

4. Strategic Pooling of Compounds for High-Throughput Screening

5. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings

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