Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Discovery of Entry Inhibitors for HIV-1 via a New De Novo Protein Design Framework

1 Nov 2010

Abstract excerpt

No abstract is available from the source.

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to HIV/AIDS drug development and treatment
Share to HIV Research and Treatment
Share to Monoclonal and Polyclonal Antibodies Research

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 21081094
DOI: 10.1016/j.bpj.2010.09.050

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Discovery of Entry Inhibitors for HIV-1 via a New De Novo Protein Design FrameworkPMID 21081094Read ↗

Discovery and Optimization of a Natural HIV-1 Entry Inhibitor Targeting the gp41 Fusion PeptideSemantic proximity Read ↗

A computational approach for rational discovery of inhibitors for non-structural protein 1 of SARS-CoV-2Semantic proximity Read ↗

Structure-based drug repurposing targeting pathogenic virus superfamily 1 helicase: An integrated multi-computational screening and bioactivity identification strategySemantic proximity Read ↗

“Old Dogs with New Tricks”: exploiting alternative mechanisms of action and new drug design strategies for clinically validated HIV targetsSemantic proximity Read ↗

Identification of Structural Mechanisms of HIV-1 Protease Specificity Using Computational Peptide Docking: Implications for Drug ResistanceSemantic proximity Read ↗

HIV reverse transcriptase structures: designing new inhibitors and understanding mechanisms of drug resistanceSemantic proximity Read ↗

Towards the de Novo Design of HIV-1 Protease Inhibitors Based on Natural ProductsSemantic proximity Read ↗

LigBuilder V3: A Multi-Target de novo Drug Design ApproachSemantic proximity Read ↗

Design of novel HIV-1 protease inhibitors with favorable oral properties using a virtual screening and lead optimization approachSemantic proximity Read ↗

Use of virtual screening for discovering antiretroviral compounds interacting with the HIV-1 nucleocapsid proteinSemantic proximity Read ↗

Drug repurposing for SARS-CoV-2: a high-throughput molecular docking, molecular dynamics, machine learning, and DFT studySemantic proximity Read ↗

Computational design of protein-protein interactions.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.