Quantitative Structure−Activity Relationship of Flavonoid p56lck Protein Tyrosine Kinase Inhibitors. A Neural Network Approach-Reference-Cited by-同舟云学术

Quantitative Structure−Activity Relationship of Flavonoid p56lck Protein Tyrosine Kinase Inhibitors. A Neural Network Approach

Published:1997-11-01 Issue:6 Volume:37 Page:990-998
ISSN:0095-2338
Container-title:Journal of Chemical Information and Computer Sciences
language:en
Short-container-title:J. Chem. Inf. Comput. Sci.

Author:

Novič M.¹,Nikolovska-Coleska Z.¹,Solmajer T.¹

Affiliation:

1. Department of Chemometrics, National Institute of Chemistry, Ljubljana, Slovenia, Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University “St. Ciryl and Methodius”, Skopje, Macedonia, and Department of Molecular Modelling and NMR Spectroscopy, National Institute of Chemistry and Lek, d.d., Ljubljana, Slovenia

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/ci970222p

Reference28 articles.

1. Signal transduction by receptors with tyrosine kinase activity

2. The Molecular Genetics of Cancer

3. Tyrosine Kinase Inhibition: An Approach to Drug Development

4. Protein-Tyrosine Kinase Inhibition: Mechanism-Based Discovery of Antitumor Agents

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