A primer on natural product-based virtual screening

Author:

Koulouridi Eleni,Valli Marilia,Ntie-Kang Fidele,Bolzani Vanderlan da Silva

Abstract

Abstract Databases play an important role in various computational techniques, including virtual screening (VS) and molecular modeling in general. These collections of molecules can contain a large amount of information, making them suitable for several drug discovery applications. For example, vendor, bioactivity data or target type can be found when searching a database. The introduction of these data resources and their characteristics is used for the design of an experiment. The description of the construction of a database can also be a good advisor for the creation of a new one. There are free available databases and commercial virtual libraries of molecules. Furthermore, a computational chemist can find databases for a general purpose or a specific subset such as natural products (NPs). In this chapter, NP database resources are presented, along with some guidelines when preparing an NP database for drug discovery purposes.

Publisher

Walter de Gruyter GmbH

Subject

General Physics and Astronomy,General Materials Science,General Chemistry

Reference112 articles.

1. Corrigendum: GPCRdb: an information system for G protein-coupled receptors;Nucleic Acids Res,2017

2. Citrinadin A derivatives from Penicillium citrinum, an endophyte from the marine red alga Dichotomaria marginata;Planta Med,2014

3. Experimental and computational approaches to estimate solubility and permeability in drug discovery and development settings;Adv Drug Deliv Rev,1997

4. TCMID: traditional Chinese medicine integrative database for herb molecular mechanism analysis;Nucleic Acids Res,2013

5. InChI-the worldwide chemical structure identifier standard;J Cheminform,2013

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