Drug- and Lead-likeness, Target Class, and Molecular Diversity Analysis of 7.9 Million Commercially Available Organic Compounds Provided by 29 Suppliers-Reference-Cited by-同舟云学术

Drug- and Lead-likeness, Target Class, and Molecular Diversity Analysis of 7.9 Million Commercially Available Organic Compounds Provided by 29 Suppliers

Published:2010-03-18 Issue:4 Volume:50 Page:470-479
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Chuprina Alexander¹,Lukin Oleg¹,Demoiseaux Robert¹,Buzko Alexander¹,Shivanyuk Alexander¹

Affiliation:

1. ChemBioCenter, National Taras Shevchenko University, 62, Volodymyrska Street, Kiev-33, 01033, Ukraine, Jonsson Comprehensive Cancer Center, University of California Los Angeles, 2805 Molecular Sciences Building, Los Angeles, California 90095-148, Abraxis Biosciences Incorporated, 11755 Wilshire Boulevard, 20th Floor, Los Angeles, California 90025, and The Institute of High Technologies, National Taras Shevchenko University, 62, Volodymyrska Street, Kiev-33, 01033, 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/ci900464s

Reference26 articles.

1. High‐throughput Screening for Targeted Lead Discovery

2. A Knowledge-Based Approach in Designing Combinatorial or Medicinal Chemistry Libraries for Drug Discovery. 1. A Qualitative and Quantitative Characterization of Known Drug Databases

3. Property Distributions: Differences between Drugs, Natural Products, and Molecules from Combinatorial Chemistry

4. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings

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