In Silico Chemogenomics Drug Repositioning Strategies for Neglected Tropical Diseases

被引:20
作者
Andrade, Carolina Horta [1 ]
Neves, Bruno Junior [1 ,2 ]
Melo-Filho, Cleber Camilo [1 ]
Rodrigues, Juliana [1 ,3 ]
Silva, Diego Cabral [1 ]
Braga, Rodolpho Campos [1 ,3 ]
Lemos Cravo, Pedro Vitor [2 ,3 ,4 ]
机构
[1] Univ Fed Goias, Fac Pharm, LabMol Lab Mol Modeling & Drug Design, BR-74605170 Goiania, Go, Brazil
[2] Ctr Univ Anapolis UniEVANGELICA, Lab Cheminformat, BR-75083515 Anapolis, Go, Brazil
[3] Univ Fed Goias, Inst Trop Pathol & Publ Hlth, GenoBio Lab Genom & Biotechnol, BR-74605220 Goiania, Go, Brazil
[4] Univ Nova Lisboa, Inst Higiene & Med Trop, P-1349008 Lisbon, Portugal
关键词
Neglected tropical diseases; drug repositioning; chemogenomics; similarity search; machine learning; pharmacophores; protein alignment; docking; HUMAN AFRICAN TRYPANOSOMIASIS; LIPOSOMAL AMPHOTERICIN-B; EFLORNITHINE COMBINATION THERAPY; TRANSMITTED HELMINTH INFECTIONS; FINGERPRINT SIMILARITY SEARCH; BINDING-SITE SIMILARITY; SCHISTOSOMA-MANSONI; CUTANEOUS LEISHMANIASIS; VISCERAL LEISHMANIASIS; QSAR MODELS;
D O I
10.2174/0929867325666180309114824
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Only similar to 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, is 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.
引用
收藏
页码:4355 / 4379
页数:25
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