2011Combinatorial Chemistry & High Throughput ScreeningRequires access

Small Molecule Databases and Chemical Descriptors Useful in Chemoinformatics: An Overview

Rafael Gozalbes, Antonio Pineda‐Lucena

Open publisher page 30 citations

Abstract

Chemoinformatics is a scientific discipline at the interface between chemistry and computer science, which nowadays is currently implemented in pharmaceutical companies as a part of the usual drug discovery pathway. Furthermore, taking into account the vast amount of experimental and computational data currently generated on drug discovery projects, the use of chemoinformatics tools has become increasingly necessary. Most of chemoinformatics projects are initiated from information stored in large databases of chemicals. The compounds are systematically characterized by numerical descriptors in order to manage this information and obtain some kind of chemical-biological relationships by similarity/diversity analysis, QSAR development for ADMET predictions, chemical space navigation for the selection of drug subspaces, drug-like and lead-like selection, or substructure searching. In this paper, we will review some of the more important chemical databases of small molecules and the descriptors that can be used to describe them, as well as their applications to the specific area of design of focused/targeted libraries.

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What this paper is about

Chemoinformatics is a scientific discipline at the interface between chemistry and computer science, which nowadays is currently implemented in pharmaceutical companies as a part of the usual drug discovery pathway. Furthermore, taking into account the vast amount of experimental and computational data currently generated on drug discovery projects, the use of chemoinformatics tools has become increasingly necessary. Most of chemoinformatics projects are initiated from information stored in large databases of chemicals. The compounds are systematically characterized by numerical descriptors in order to manage this information and obtain some kind of chemical-biological relationships by similarity/diversity analysis, QSAR development for ADMET predictions, chemical space navigation for the selection of drug subspaces, drug-like and lead-like selection, or substructure searching. In this paper, we will review some of the more important chemical databases of small molecules and the descriptors that can be used to describe them, as well as their applications to the specific area of design of focused/targeted libraries.

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Available abstract

Chemoinformatics is a scientific discipline at the interface between chemistry and computer science, which nowadays is currently implemented in pharmaceutical companies as a part of the usual drug discovery pathway. Furthermore, taking into account the vast amount of experimental and computational data currently generated on drug discovery projects, the use of chemoinformatics tools has become increasingly necessary. Most of chemoinformatics projects are initiated from information stored in large databases of chemicals. The compounds are systematically characterized by numerical descriptors in order to manage this information and obtain some kind of chemical-biological relationships by similarity/diversity analysis, QSAR development for ADMET predictions, chemical space navigation for the selection of drug subspaces, drug-like and lead-like selection, or substructure searching. In this paper, we will review some of the more important chemical databases of small molecules and the descriptors that can be used to describe them, as well as their applications to the specific area of design of focused/targeted libraries.

Key concepts: Cheminformatics, Chemical space, Chemical database, Quantitative structure–activity relationship, Computer science, Molecular descriptor, Database, Drug discovery

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