Discovery of New Inhibitors of Mycobacterium tuberculosis InhA Enzyme Using Virtual Screening and a 3D-Pharmacophore-Based Approach

By Ivani Pauli, R. N. Santos, Diana C. Rostirolla, Leonardo K. Martinelli, R. G. Ducati, L. F. S. M. Timmers, Luiz Augusto Basso, Diógenes Santiago Santos, R. Guido, Adriano Defini Andricopulo and 1 more. 2013

81 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Infectious Diseases, Molecular Biology, Computational Chemistry & Drug Discovery

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Glaucius Oliva
2. L. Ferreira
3. Ricardo N Dos Santos
4. Adriano Defini Andricopulo
5. Luca Pinzi
6. Giulio Rastelli

In Computer Vision and Pattern Recognition

1. Glaucius Oliva
2. Adriano Defini Andricopulo
3. L. Ferreira
4. Ricardo N Dos Santos

In Molecular Biology

1. Glaucius Oliva
2. L. Ferreira
3. Ricardo N Dos Santos
4. Adriano Defini Andricopulo

In Computational Chemistry & Drug Discovery

1. Glaucius Oliva
2. Adriano Defini Andricopulo
3. L. Ferreira
4. Ricardo N Dos Santos
5. Giulio Rastelli
6. Luca Pinzi

Citations in the corpus

• Molecular Docking and Structure-Based Drug Design Strategies (2015, methodology): “The authors employed a multistage approach, integrating pharmacophore modeling and molecular docking [207].”