Luís Fernando S. M. Timmers

According to our database, Luís Fernando S. M. Timmers authored at least 6 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Targeting SARS-CoV-2 Main Protease (MPro) with Kinase Inhibitors: A Promising Approach for Discovering Antiviral and Anti-inflammatory Molecules against SARS-CoV-2.

Débora Bublitz Anton, Júlia Galvez Bulhões Pedreira, Maria Luiza Zvirtes, Stefan Laufer, Rodrigo G. Ducati, Márcia Goettert, Luís Fernando S. M. Timmers

J. Chem. Inf. Model., July, 2023

Identification of potential inhibitors of Mycobacterium tuberculosis shikimate kinase: molecular docking, in silico toxicity and in vitro experiments.

Talita Freitas de Freitas, Candida Deves Roth, Bruno Lopes Abbadi, Fernanda Souza Macchi Hopf, Marcia Alberton Perelló, Alexia de Matos Czeczot, Eduardo Vieira de Souza, Ana Flávia Borsoi, Pablo Machado, Cristiano Valim Bizarro, Luiz Augusto Basso, Luís Fernando S. M. Timmers

J. Comput. Aided Mol. Des., March, 2023

2022

5-HTR_2B and SLC6A3 as potential molecular targets of sertraline in the treatment of major depressive disorder: the use of bioinformatics and its practical implication.

Ronaldo R. de Oliveira, Diana Kuhn, Daiane Heidrich, Flávio M. Shansis, Rodrigo G. Ducati, Luís Fernando S. M. Timmers

Netw. Model. Anal. Health Informatics Bioinform., 2022

2020

Geo-Measures: A PyMOL plugin for protein structure ensembles analysis.

Luciano Porto Kagami, Gustavo Machado das Neves, Luís Fernando S. M. Timmers, Rafael A. Caceres, Vera Lucia Eifler-Lima

Comput. Biol. Chem., 2020

2013

Discovery of New Inhibitors of <i>Mycobacterium tuberculosis</i> InhA Enzyme Using Virtual Screening and a 3D-Pharmacophore-Based Approach.

Ivani Pauli, Ricardo N. dos Santos, Diana C. Rostirolla, Leonardo K. Martinelli, Rodrigo G. Ducati, Luís Fernando S. M. Timmers, Luiz Augusto Basso, Diógenes Santiago Santos, Rafael V. C. Guido, Adriano D. Andricopulo, Osmar Norberto de Souza

J. Chem. Inf. Model., 2013

GTKDynamo: A PyMOL plug-in for QC/MM hybrid potential simulations.

José Fernando R. Bachega, Luís Fernando S. M. Timmers, Lucas Assirati, Leonardo R. Bachega, Martin J. Field, Troy Wymore

J. Comput. Chem., 2013