Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands-Reference-Cited by-同舟云学术

Practical application of the Average Information Content Maximization (AIC-MAX) algorithm: selection of the most important structural features for serotonin receptor ligands

Published:2017-02-09 Issue:2 Volume:21 Page:407-412
ISSN:1381-1991
Container-title:Molecular Diversity
language:en
Short-container-title:Mol Divers

Author:

Warszycki Dawid,Śmieja Marek,Kafel Rafał

Funder

Narodowe Centrum Nauki

Norwegian Financial Mechanism

Publisher

Springer Science and Business Media LLC

Subject

Inorganic Chemistry,Organic Chemistry,Physical and Theoretical Chemistry,Drug Discovery,Molecular Biology,General Medicine,Information Systems,Catalysis

Link

http://link.springer.com/article/10.1007/s11030-017-9729-8/fulltext.html

Reference33 articles.

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5. Smusz S, Kurczab R, Satała G, Bojarski AJ (2015) Fingerprint-based consensus virtual screening towards structurally new 5-HT6R ligands. Bioorg Med Chem Lett 25:1827–1830. doi: 10.1016/j.bmcl.2015.03.049

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