A ligand-based approach for the in silico discovery of multi-target inhibitors for proteins associated with HIV infection
A Speck-Planche, VV Kleandrova, F Luan… - Molecular …, 2012 - pubs.rsc.org
Acquired immunodeficiency syndrome (AIDS) is a dangerous disease, which damages the
immune system cells to the point that the immune system can no longer fight against other …
immune system cells to the point that the immune system can no longer fight against other …
Multi-target QSAR modelling in the analysis and design of HIV-HCV co-inhibitors: an in-silico study
Background HIV and HCV infections have become the leading global public-health threats.
Even more remarkable, HIV-HCV co-infection is rapidly emerging as a major cause of …
Even more remarkable, HIV-HCV co-infection is rapidly emerging as a major cause of …
Targeting HIV/HCV coinfection using a machine learning-based multiple quantitative structure-activity relationships (multiple QSAR) method
Y Wei, W Li, T Du, Z Hong, J Lin - International journal of molecular …, 2019 - mdpi.com
Human immunodeficiency virus type-1 and hepatitis C virus (HIV/HCV) coinfection occurs
when a patient is simultaneously infected with both human immunodeficiency virus type-1 …
when a patient is simultaneously infected with both human immunodeficiency virus type-1 …
[PDF][PDF] In-silico discovery and simulated selection of multi-target Anti-HIV-1 inhibitors
The multi-target quantitative structure-activity relationship (mt-QSAR) study of human
immunodeficiency virus (HIV-1) inhibitors was addressed by applying a modest, hitherto …
immunodeficiency virus (HIV-1) inhibitors was addressed by applying a modest, hitherto …
AntiHIV-Pred: web-resource for in silico prediction of anti-HIV/AIDS activity
L Stolbov, D Druzhilovskiy, A Rudik, D Filimonov… - …, 2020 - academic.oup.com
Motivation Identification of new molecules promising for treatment of HIV-infection and HIV-
associated disorders remains an important task in order to provide safer and more effective …
associated disorders remains an important task in order to provide safer and more effective …
3D-QSAR methodologies and molecular modeling in bioinformatics for the search of novel anti-HIV therapies: rational design of entry inhibitors
A Speck-Planche, VV Kleandrova… - Current …, 2013 - ingentaconnect.com
Human immunodeficiency virus (HIV) is the responsible causal agent of acquired
immunodeficiency syndrome (AIDS), a condition in humans where the immune system …
immunodeficiency syndrome (AIDS), a condition in humans where the immune system …
Computer-assisted design of dual-target anti-HIV-1 compounds
MC Guimarães, DG Silva, EG da Mota… - Medicinal Chemistry …, 2014 - Springer
Anti-HIV compounds comprise inhibitors of some different biological targets, like HIV
protease, integrase and reverse transcriptase enzymes, and entry and fusion proteins …
protease, integrase and reverse transcriptase enzymes, and entry and fusion proteins …
Multi‐target QSAR Study in the Analysis and Design of HIV‐1 Inhibitors
Q Liu, D Che, Q Huang, Z Cao… - Chinese Journal of …, 2010 - Wiley Online Library
The multi‐target quantitative structure‐activity relationship (QSAR) study of human
immunodeficiency virus (HIV‐1) inhibitors was addressed by applying a simple, yet effective …
immunodeficiency virus (HIV‐1) inhibitors was addressed by applying a simple, yet effective …
Probabilistic neural network model for the in silico evaluation of anti-HIV activity and mechanism of action
A theoretical model has been developed that discriminates between active and nonactive
drugs against HIV-1 with four different mechanisms of action for the active drugs. The model …
drugs against HIV-1 with four different mechanisms of action for the active drugs. The model …
QSAR prediction of HIV-1 protease inhibitory activities using docking derived molecular descriptors
MH Fatemi, A Heidari, S Gharaghani - Journal of Theoretical Biology, 2015 - Elsevier
In this study, application of a new hybrid docking-quantitative structure activity relationship
(QSAR) methodology to model and predict the HIV-1 protease inhibitory activities of a series …
(QSAR) methodology to model and predict the HIV-1 protease inhibitory activities of a series …