An integrated computational approach to in silico drug design was used to identify novel HIV-1 fusion inhibitor scaffolds mimicking broadly neutralizing antibody (bNab) 10E8 targeting the membrane proximal external region (MPER) of the HIV-1 gp41 protein. This computer-based approach included (i) generation of pharmacophore models representing 3D-arrangements of chemical functionalities that make bNAb 10E8 active towards the gp41 MPER segment, (ii) shape and pharmacophore-based identification of the 10E8-mimetic candidates by a web-oriented virtual screening platform pepMMsMIMIC, (iii) high-throughput docking of the identified compounds with the gp41 MPER peptide, and (iv) molecular dynamics simulations of the docked structures followed by binding free energy calculations. As a result, eight hits-able to mimic pharmacophore properties of bNAb 10E8 by specific and effective interactions with the MPER region of the HIV-1 protein gp41 were selected as the most probable 10E8-mimetic candidates. Similar to 10E8, the predicted compounds target the critically important residues of a highly conserved hinge region of the MPER peptide that provides a conformational flexibility necessary for its functioning in cell-virus membrane fusion process. In light of the data obtained, the identified small molecules may present promising HIV-1 fusion inhibitor scaffolds for the design of novel potent antiviral drugs.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1142/S0219720018400073 | DOI Listing |
J Biomol Struct Dyn
January 2025
Laboratory of Biology and Health, URAC 34, Faculty of Sciences, Ben M'Sik Hassan II University of Casablanca, Casablanca, Morocco.
The recent spread of SARS-CoV-2 has led to serious concerns about newly emerging infectious coronaviruses. Drug repurposing is a practical method for rapid development of antiviral agents. The viral spike protein of SARS-CoV-2 binds to its major receptor ACE2 to promote membrane fusion.
View Article and Find Full Text PDFBMC Pregnancy Childbirth
January 2025
Department of Infectious Diseases, Ganzhou Fifth People's Hospital, Ganzhou, China.
Background: Antiretroviral drugs are essential for preventing mother-to-child transmission (MTCT) of HIV in HIV-infected pregnant women. However, ART treatment for HIV-infected pregnant women with multidrug resistance remains a major challenge. Effective and safe ART regimens for preventing MTCT should be tailored to this special population.
View Article and Find Full Text PDFJ Clin Pharmacol
January 2025
Department of Pharmacy, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Albuvirtide (ABT) is a novel long-acting fusion inhibitor for human immunodeficiency virus type 1 (HIV-1), and may be co-administered with rifampicin (RIF) in patients concurrent with tubercle bacillus and HIV-1. This study was conducted to investigate the pharmacokinetic effect of co-administration of the two drugs. In the study, 24 healthy volunteers were randomized to receive ABT alone or with RIF.
View Article and Find Full Text PDFNat Commun
January 2025
Institute of Molecular Virology, Ulm University Medical Center, 89081, Ulm, Germany.
HIV-associated neurocognitive disorders (HAND) and viral reservoirs in the brain remain a significant challenge. Despite their importance, the mechanisms allowing HIV-1 entry and replication in the central nervous system (CNS) are poorly understood. Here, we show that α-synuclein and (to a lesser extent) Aβ fibrils associated with neurological diseases enhance HIV-1 entry and replication in human T cells, macrophages, and microglia.
View Article and Find Full Text PDFComput Med Imaging Graph
January 2025
Sapienza University of Rome, Department of Computer Control and Management Engineering Antonio Ruberti, 00185, Rome, Italy. Electronic address:
Predicting the outcome of antiretroviral therapies (ART) for HIV-1 is a pressing clinical challenge, especially when the ART includes drugs with limited effectiveness data. This scarcity of data can arise either due to the introduction of a new drug to the market or due to limited use in clinical settings, resulting in clinical dataset with highly unbalanced therapy representation. To tackle this issue, we introduce a novel joint fusion model, which combines features from a Fully Connected (FC) Neural Network and a Graph Neural Network (GNN) in a multi-modality fashion.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!