Molecular Architect: A User-Friendly Workflow for Virtual Screening

Eduardo H B Maia; Lucas Rolim Medaglia; Alisson Marques da Silva; Alex G Taranto

doi:10.1021/acsomega.9b04403

Molecular Architect: A User-Friendly Workflow for Virtual Screening

ACS Omega. 2020 Mar 20;5(12):6628-6640. doi: 10.1021/acsomega.9b04403. eCollection 2020 Mar 31.

Authors

Eduardo H B Maia^{1

2}, Lucas Rolim Medaglia³, Alisson Marques da Silva², Alex G Taranto¹

Affiliations

¹ Laboratório de Quêmica Farmaĉutica Medicinal, Universidade Federal de São João Del-Rei, Divinópolis 35501-296, Minas Gerais, Brazil.
² Centro Federal de Educação Tecnológica de Minas Gerais, CEFET-MG, Campus Divinópolis, Divinópolis 35503-822, MG, Brazil.
³ Universidade Estadual de Londrina, Londrina 86057-970, Brazil.

Abstract

Computer-assisted drug design (CADD) methods have greatly contributed to the development of new drugs. Among CADD methodologies, virtual screening (VS) can enrich the compound collection with molecules that have the desired physicochemical and pharmacophoric characteristics that are needed to become drugs. Many free tools are available for this purpose, but they are difficult to use and do not have a graphical user interface. Furthermore, several free tools must be used to carry out the entire VS process, requiring the user to process the results of one software program so that they can be used in another program, adding a potential source of human error. Moreover, some software programs require knowledge of advanced computational skills, such as programming languages. This context has motivated us to develop Molecular Architect (MolAr). MolAr is a workflow with a simple and intuitive interface that acts in an integrated and automated form to perform the entire VS process, from protein preparation (homology modeling and protonation state) to virtual screening. MolAr carries out VS through AutoDock Vina, DOCK 6, or a consensus of the two. Two case studies were conducted to demonstrate the performance of MolAr. In the first study, the feasibility of using MolAr for DNA-ligand systems was assessed. Both AutoDock Vina and DOCK 6 showed good results in performing VS in DNA-ligand systems. However, the use of consensus virtual screening was able to enrich the results. According to the area under the ROC curve and the enrichment factors, consensus VS was better able to predict the positions of the active ligands. The second case study was performed on 8 targets from the DUD-E database and 10 active ligands for each target. The results demonstrated that using the final ligand conformation provided by AutoDock Vina as an input for DOCK 6 improved the DOCK 6 ROC curves by up to 42% in VS. These case studies demonstrated that MolAr is capable conducting the VS process and is an easy-to-use and effective tool. MolAr is available for download free of charge at http: //www.drugdiscovery.com.br/software/.