TY - JOUR
T1 - In silico chemogenomics drug repositioning strategies for neglected tropical diseases
AU - Andrade, Carolina Horta
AU - Neves, Bruno Junior
AU - Melo-Filho, Cleber Camilo
AU - Rodrigues, Juliana
AU - Silva, Diego Cabral
AU - Braga, Rodolpho Campos
AU - Cravo, Pedro Vitor Lemos
N1 - Funding Information:
The authors would like to thank Brazilian funding agencies, CNPq, CAPES and FAPEG for financial support and fellowships. CHA also thanks the ?L'Or?al-UNESCO-ABC Para Mulheres na Ciencia? and ?L?Or?al-UNESCO International Rising Talents? for the awards and fellowships received. CHA and PVLC PVLC are research fellows of CNPq. This study was partially funded by MCTI/CNPq (# 444001/2014-0). We are also grateful to OpenEye Scientific Software, Inc. (https://www.eyesopen.com/) and ChemAxon (https://chemaxon.com) for providing us with the academic license for their software.
Publisher Copyright:
© 2019 Bentham Science Publishers.
PY - 2019
Y1 - 2019
N2 - 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.
AB - 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.
KW - Neglected tropical diseases
KW - Chemogenomics
KW - Docking
KW - Drug repositioning
KW - Machine learning
KW - Pharmacophores
KW - Protein alignment
KW - Similarity search
UR - http://www.eurekaselect.com/160352/article
U2 - 10.2174/0929867325666180309114824
DO - 10.2174/0929867325666180309114824
M3 - Review article
C2 - 29521204
SN - 0929-8673
VL - 26
SP - 4355
EP - 4379
JO - Current Medicinal Chemistry
JF - Current Medicinal Chemistry
IS - 23
ER -