Automated Pharmacophore Identification for Large Chemical Data Sets-Reference-Cited by-同舟云学术

Automated Pharmacophore Identification for Large Chemical Data Sets

Published:1999-08-19 Issue:5 Volume:39 Page:887-896
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Chen Xin¹,Rusinko ¹,Tropsha Alexandler¹,Young S. Stanley¹

Affiliation:

1. Chemoinformatics Group, Research Information Systems, Glaxo Wellcome Inc., Research Triangle Park, North Carolina 27709, Laboratory for Molecular Modeling, School of Pharmacy, University of North Carolina, Chapel Hill, North Carolina 27599, and Medicinal Chemistry, Alcon Laboratories Inc., Fort Worth, Texas 76134

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/ci990327n

Reference50 articles.

1. Applications of Combinatorial Technologies to Drug Discovery. 1. Background and Peptide Combinatorial Libraries

2. Applications of Combinatorial Technologies to Drug Discovery. 2. Combinatorial Organic Synthesis, Library Screening Strategies, and Future Directions

3. High-throughput screening: advances in assay technologies

4. New assay technologies for high-throughput screening

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