ArticlePLoS computational biology2014
The HIV mutation browser: a resource for human immunodeficiency virus mutagenesis and polymorphism data.
Article in PLoS computational biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
- V3 tip determinants of susceptibility to inhibition by CD4-mimetic compounds in natural clade A human immunodeficiency virus (HIV-1) envelope glycoproteins.Journal of virology · 2023Article
- Multidisciplinary studies with mutated HIV-1 capsid proteins reveal structural mechanisms of lattice stabilization.Nature communications · 2023Article
- ViMRT: a text-mining tool and search engine for automated virus mutation recognition.Bioinformatics (Oxford, England) · 2023Article
- The apparent interferon resistance of transmitted HIV-1 is possibly a consequence of enhanced replicative fitness.PLoS pathogens · 2022Article
- Characterization of Human Immunodeficiency Virus (HIV-1) Envelope Glycoprotein Variants Selected for Resistance to a CD4-Mimetic Compound.Journal of virology · 2022Article
- Understanding the genetics of viral drug resistance by integrating clinical data and mining of the scientific literature.Scientific reports · 2022Article
- Discovery of Dehydroamino Acid Residues in the Capsid and Matrix Structural Proteins of HIV-1.Journal of proteome research · 2022Article
- Gp41-targeted antibodies restore infectivity of a fusion-deficient HIV-1 envelope glycoprotein.PLoS pathogens · 2020Article
- Article
- GLUE: a flexible software system for virus sequence data.BMC bioinformatics · 2018Article
- Article
- nala: text mining natural language mutation mentions.Bioinformatics (Oxford, England) · 2017Article
- The Envelope Gene of Transmitted HIV-1 Resists a Late Interferon Gamma-Induced Block.Journal of virology · 2017Article
- Exploiting HIV-1 protease and reverse transcriptase cross-resistance information for improved drug resistance prediction by means of multi-label classification.BioData mining · 2016Article
- Comparison of the inhibition capability of oleanolic acid and betulinic acid towards drug-metabolizing enzymes.African health sciences · 2015Article
- Coevolution Analysis of HIV-1 Envelope Glycoprotein Complex.PloS one · 2015Article
- The National NeuroAIDS Tissue Consortium (NNTC) Database: an integrated database for HIV-related studies.Database : the journal of biological databases and curation · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Huge research effort has been invested over many years to determine the phenotypes of natural or artificial mutations in HIV proteins--interpretation of mutation phenotypes is an invaluable source of new knowledge. The results of this research effort are recorded in the scientific literature, but it is difficult for virologists to rapidly find it. Manually locating data on phenotypic variation within the approximately 270,000 available HIV-related research articles, or the further 1,500 articles that are published each month is a daunting task. Accordingly, the HIV research community would benefit from a resource cataloguing the available HIV mutation literature. We have applied computational text-mining techniques to parse and map mutagenesis and polymorphism information from the HIV literature, have enriched the data with ancillary information and have developed a public, web-based interface through which it can be intuitively explored: the HIV mutation browser. The current release of the HIV mutation browser describes the phenotypes of 7,608 unique mutations at 2,520 sites in the HIV proteome, resulting from the analysis of 120,899 papers. The mutation information for each protein is organised in a residue-centric manner and each residue is linked to the relevant experimental literature. The importance of HIV as a global health burden advocates extensive effort to maximise the efficiency of HIV research. The HIV mutation browser provides a valuable new resource for the research community. The HIV mutation browser is available at: http://hivmut.org.
Indexed as
Identifiers
What OpenQuestion holds
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.