Abstract
Chemical compound libraries are the basic database for virtual (in silico) drug screening, and the number of entries has reached 20 million. Many drug-like compound libraries for virtual drug screening have been developed and released. In this review, the process of constructing a database for virtual screening is reviewed, and several popular databases are introduced. Several kinds of focused libraries have been developed. The author has developed databases for metalloproteases, and the details of the libraries are described. The library for metalloproteases was developed by improving the generation of the dominant-ion forms. For instance, the SH group is treated as S- in this library while all SH groups are protonated in the conventional libraries. In addition, metal complexes were examined as new candidates of drug-like compounds. Finally, a method for generating chemical space is introduced, and the diversity of compound libraries is discussed.
Keywords: Virtual screening, in silico screening, 3D structure generation, conformer generation, compound database, compound library, affinity fingerprint, metal complex
Current Computer-Aided Drug Design
Title: Development of Chemical Compound Libraries for In Silico Drug Screening
Volume: 6 Issue: 2
Author(s): Yoshifumi Fukunishi and Masami Lintuluoto
Affiliation:
Keywords: Virtual screening, in silico screening, 3D structure generation, conformer generation, compound database, compound library, affinity fingerprint, metal complex
Abstract: Chemical compound libraries are the basic database for virtual (in silico) drug screening, and the number of entries has reached 20 million. Many drug-like compound libraries for virtual drug screening have been developed and released. In this review, the process of constructing a database for virtual screening is reviewed, and several popular databases are introduced. Several kinds of focused libraries have been developed. The author has developed databases for metalloproteases, and the details of the libraries are described. The library for metalloproteases was developed by improving the generation of the dominant-ion forms. For instance, the SH group is treated as S- in this library while all SH groups are protonated in the conventional libraries. In addition, metal complexes were examined as new candidates of drug-like compounds. Finally, a method for generating chemical space is introduced, and the diversity of compound libraries is discussed.
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Cite this article as:
Fukunishi Yoshifumi and Lintuluoto Masami, Development of Chemical Compound Libraries for In Silico Drug Screening, Current Computer-Aided Drug Design 2010; 6 (2) . https://dx.doi.org/10.2174/157340910791202450
DOI https://dx.doi.org/10.2174/157340910791202450 |
Print ISSN 1573-4099 |
Publisher Name Bentham Science Publisher |
Online ISSN 1875-6697 |
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