Advanced search
Start date
Betweenand
Related content
(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Druggable hot spots in trypanothione reductase: novel insights and opportunities for drug discovery revealed by DRUGpy

Full text
Author(s):
Teixeira, Olivia [1] ; Lacerda, Pedro [2, 3] ; Froes, Thamires Quadros [1] ; Nonato, Maria Cristina [1] ; Castilho, Marcelo Santos [3]
Total Authors: 5
Affiliation:
[1] Fac Ciencias Farmaceut Ribeirao Preto USP, Lab Cristalog Proteinas, Av Cafe S-N Vila Monte Alegre, BR-14040903 Ribeirao Preto, SP - Brazil
[2] Univ Estadual Feira de Santana, Programa Posgrad Ciencias Farmaceut, Feira de Santana, BA - Brazil
[3] Univ Fed Bahia, Lab Bioinformat & Modelagem Mol, Fac Farm, Av Barao Jeremoabo S-N Ondina, BR-40170115 Salvador, BA - Brazil
Total Affiliations: 3
Document type: Journal article
Source: Journal of Computer-Aided Molecular Design; v. 35, n. 8, p. 871-882, AUG 2021.
Web of Science Citations: 0
Abstract

Assessment of target druggability guided by search and characterization of hot spots is a pivotal step in early stages of drug-discovery. The raw output of FTMap provides the data to perform this task, but it relies on manual intervention to properly combine different sets of consensus sites, therefore allowing identification of hot spots and evaluation of strength, shape and distance among them. Thus, the user's previous experience on the target and the software has a direct impact on how data generated by FTMap server can be explored. DRUGpy plugin was developed to overcome this limitation. By automatically assembling and scoring all possible combinations of consensus sites, DRUGpy plugin provides FTMap users a straight-forward method to identify and characterize hot spots in protein targets. DRUGpy is available in all operating systems that support PyMOL software. DRUGpy promptly identifies and characterizes pockets that are predicted by FTMap to bind druglike molecules with high-affinity (druggable sites) or low-affinity (borderline sites) and reveals how protein conformational flexibility impacts on the target's druggability. The use of DRUGpy on the analysis of trypanothione reductases (TR), a validated drug target against trypanosomatids, showcases the usefulness of the plugin, and led to the identification of a druggable pocket in the conserved dimer interface present in this class of proteins, opening new perspectives to the design of selective inhibitors. (AU)

FAPESP's process: 18/24109-5 - Kinectic characterization and preliminary crystallization studies of Leishmania braziliensis trypanothione reductase
Grantee:Olívia Teixeira
Support Opportunities: Scholarships in Brazil - Scientific Initiation