↓ Skip to main content

PLOS

Molecular Features Related to HIV Integrase Inhibition Obtained from Structure- and Ligand-Based Approaches

Overview of attention for article published in PLOS ONE, January 2014
Altmetric Badge

Mentioned by

twitter
3 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
14 Mendeley
Title
Molecular Features Related to HIV Integrase Inhibition Obtained from Structure- and Ligand-Based Approaches
Published in
PLOS ONE, January 2014
DOI 10.1371/journal.pone.0081301
Pubmed ID
Authors

Luciana L. de Carvalho, Vinícius G. Maltarollo, Emmanuela Ferreira de Lima, Karen C. Weber, Kathia M. Honorio, Albérico B. F. da Silva

Abstract

Among several biological targets to treat AIDS, HIV integrase is a promising enzyme that can be employed to develop new anti-HIV agents. The aim of this work is to propose a mechanistic interpretation of HIV-1 integrase inhibition and to rationalize the molecular features related to the binding affinity of studied ligands. A set of 79 HIV-1 integrase inhibitors and its relationship with biological activity are investigated employing 2D and 3D QSAR models, docking analysis and DFT studies. Analyses of docking poses and frontier molecular orbitals revealed important features on the main ligand-receptor interactions. 2D and 3D models presenting good internal consistency, predictive power and stability were obtained in all cases. Significant correlation coefficients (r(2) = 0.908 and q(2)= 0.643 for 2D model; r(2)= 0.904 and q(2)= 0.719 for 3D model) were obtained, indicating the potential of these models for untested compounds. The generated holograms and contribution maps revealed important molecular requirements to HIV-1 IN inhibition and several evidences for molecular modifications. The final models along with information resulting from molecular orbitals, 2D contribution and 3D contour maps should be useful in the design of new inhibitors with increased potency and selectivity within the chemical diversity of the data.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 29%
Student > Doctoral Student 2 14%
Student > Ph. D. Student 2 14%
Student > Bachelor 1 7%
Professor 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 21%
Agricultural and Biological Sciences 2 14%
Chemistry 2 14%
Computer Science 1 7%
Medicine and Dentistry 1 7%
Other 1 7%
Unknown 4 29%