Data Set Modelability by QSAR-Reference-Cited by-同舟云学术

Data Set Modelability by QSAR

Published:2014-01-08 Issue:1 Volume:54 Page:1-4
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Golbraikh Alexander¹,Muratov Eugene¹²,Fourches Denis¹,Tropsha Alexander¹

Affiliation:

1. Laboratory for Molecular Modeling, Division of Chemical Biology and Medicinal Chemistry, UNC Eshelman School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina 27599, United States

2. Department of Molecular Structure and Cheminformatics, A.V. Bogatsky Physical-Chemical Institute NAS of Ukraine, Odessa, 65080, Ukraine

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ci400572x

Reference21 articles.

1. ChEMBL Database.https://www.ebi.ac.uk/chembl/(accessed Mar 13, 2013) .

2. PubChem. http://pubchem.ncbi.nlm.nih.gov/(accessed Oct 1, 2013) .

3. Trust, But Verify: On the Importance of Chemical Structure Curation in Cheminformatics and QSAR Modeling Research

4. Using Graph Indices for the Analysis and Comparison of Chemical Datasets

5. Are the Chemical Structures in Your QSAR Correct?

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