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Current Medicinal Chemistry


ISSN (Print): 0929-8673
ISSN (Online): 1875-533X

Review Article

In Silico Chemogenomics Drug Repositioning Strategies for Neglected Tropical Diseases

Author(s): Carolina Horta Andrade*, Bruno Junior Neves, Cleber Camilo Melo-Filho, Juliana Rodrigues, Diego Cabral Silva, Rodolpho Campos Braga and Pedro Vitor Lemos Cravo

Volume 26, Issue 23, 2019

Page: [4355 - 4379] Pages: 25

DOI: 10.2174/0929867325666180309114824

Price: $65

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Only ~1% of all drug candidates against Neglected Tropical Diseases (NTDs) have reached clinical trials in the last decades, underscoring the need for new, safe and effective treatments. In such context, drug repositioning, which allows finding novel indications for approved drugs whose pharmacokinetic and safety profiles are already known, emerging as a promising strategy for tackling NTDs. Chemogenomics is a direct descendent of the typical drug discovery process that involves the systematic screening of chemical compounds against drug targets in high-throughput screening (HTS) efforts, for the identification of lead compounds. However, different to the one-drug-one-target paradigm, chemogenomics attempts to identify all potential ligands for all possible targets and diseases. In this review, we summarize current methodological development efforts in drug repositioning that use state-of-the-art computational ligand- and structure-based chemogenomics approaches. Furthermore, we highlighted the recent progress in computational drug repositioning for some NTDs, based on curation and modeling of genomic, biological, and chemical data. Additionally, we also present in-house and other successful examples and suggest possible solutions to existing pitfalls.

Keywords: Neglected tropical diseases, drug repositioning, chemogenomics, similarity search, machine learning, pharmacophores, protein alignment, docking.

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