ArticlePLoS computational biology2007
A look inside HIV resistance through retroviral protease interaction maps.
Article in PLoS computational biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 25 citations in OpenAlex.
- Computational chemogenomics: is it more than inductive transfer?Journal of computer-aided molecular design · 2014Article
- Benchmarking of protein descriptor sets in proteochemometric modeling (part 2): modeling performance of 13 amino acid descriptor sets.Journal of cheminformatics · 2013Article
- Benchmarking of protein descriptor sets in proteochemometric modeling (part 1): comparative study of 13 amino acid descriptor sets.Journal of cheminformatics · 2013Article
- A comparative study of HIV-1 and HTLV-I protease structure and dynamics reveals a conserved residue interaction network.Journal of molecular modeling · 2011Article
- A network-based multi-target computational estimation scheme for anticoagulant activities of compounds.PloS one · 2011Article
- Identification of folding preferences of cleavage junctions of HIV-1 precursor proteins for regulation of cleavability.Journal of molecular modeling · 2011Article
- The chemical information ontology: provenance and disambiguation for chemical data on the biological semantic web.PloS one · 2011Article
- Proteochemometric modeling of the susceptibility of mutated variants of the HIV-1 virus to reverse transcriptase inhibitors.PloS one · 2010Article
- Identification of structural mechanisms of HIV-1 protease specificity using computational peptide docking: implications for drug resistance.Structure (London, England : 1993) · 2009Article
- The C1C2: a framework for simultaneous model selection and assessment.BMC bioinformatics · 2008Article
- Proteochemometric modeling of HIV protease susceptibility.BMC bioinformatics · 2008Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Retroviruses affect a large number of species, from fish and birds to mammals and humans, with global socioeconomic negative impacts. Here the authors report and experimentally validate a novel approach for the analysis of the molecular networks that are involved in the recognition of substrates by retroviral proteases. Using multivariate analysis of the sequence-based physiochemical descriptions of 61 retroviral proteases comprising wild-type proteases, natural mutants, and drug-resistant forms of proteases from nine different viral species in relation to their ability to cleave 299 substrates, the authors mapped the physicochemical properties and cross-dependencies of the amino acids of the proteases and their substrates, which revealed a complex molecular interaction network of substrate recognition and cleavage. The approach allowed a detailed analysis of the molecular-chemical mechanisms involved in substrate cleavage by retroviral proteases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.