Straightforward Recursive Partitioning Model for Discarding Insoluble Compounds in the Drug Discovery Process-Reference-Cited by-同舟云学术

Straightforward Recursive Partitioning Model for Discarding Insoluble Compounds in the Drug Discovery Process

Published:2008-04-18 Issue:10 Volume:51 Page:2891-2897
ISSN:0022-2623
Container-title:Journal of Medicinal Chemistry
language:en
Short-container-title:J. Med. Chem.

Author:

Lamanna Claudia¹,Bellini Marta¹,Padova Alessandro¹,Westerberg Goran¹,Maccari Laura¹

Affiliation:

1. Siena Biotech S.p.A., Via Fiorentina 1, 53100, Siena, Italy

Publisher

American Chemical Society (ACS)

Subject

Drug Discovery,Molecular Medicine

Link

https://pubs.acs.org/doi/pdf/10.1021/jm701407x

Reference31 articles.

1. Solubility: it's not just for physical chemists

2. Maccari, L.; Andreini, M.; Benn, A.; Cesari, L.; Coniglio, S.; Fruscoloni, D.; Paoli, F.; Padova, A.Rational Approach to the Selection of a Diverse Set of Compounds for in Vitro Screening against CNS Therapeutic Targets Utilizing Nucleo, a Cheminformatic and Modelling Platform. Manuscript submitted.

3. Global and Local Computational Models for Aqueous Solubility Prediction of Drug-Like Molecules

4. Accurate Solubility Prediction with Error Bars for Electrolytes: A Machine Learning Approach

5. Estimation of Aqueous Solubility for a Diverse Set of Organic Compounds Based on Molecular Topology

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