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

Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks.

Virology - 15 Sept 2001

Resch W, Hoffman N, Swanstrom R

Abstract excerpt

We have assembled two sets of HIV-1 V3 sequences with defined epidemiologic relationships associated with experimentally determined coreceptor usage or MT-2 cell tropism. These data sets were used for three purposes. First, they were employed to test existing methods for predicting coreceptor usage and MT-2 cell tropism. Of these methods, the presence of one basic amino acid at position 11 or 25 proved to be most...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Consensus Sequence
Share to Entropy

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Gene Products, env

Share to Neural Networks, Computer

Share to Reproducibility of Results

Share to Sequence Homology, Amino Acid

Source

Identifiers

PMID: 11543657
DOI: 10.1006/viro.2001.1087

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Improved success of phenotype prediction of the human immunodeficiency virus type 1 from envelope variable loop 3 sequence using neural networks.PMID 11543657Read ↗

Predicting HIV-1 coreceptor usage with sequence analysis.Semantic proximity Read ↗

A new perspective on V3 phenotype prediction.Semantic proximity Read ↗

A reliable phenotype predictor for human immunodeficiency virus type 1 subtype C based on envelope V3 sequences.Semantic proximity Read ↗

Predicting HIV coreceptor usage on the basis of genetic and clinical covariates.Semantic proximity Read ↗

Prediction of R5, X4, and R5X4 HIV-1 coreceptor usage with evolved neural networks.Semantic proximity Read ↗

Determining human immunodeficiency virus coreceptor use in a clinical setting: degree of correlation between two phenotypic assays and a bioinformatic model.Semantic proximity Read ↗

Improved coreceptor usage prediction and genotypic monitoring of R5-to-X4 transition by motif analysis of human immunodeficiency virus type 1 env V3 loop sequences.Semantic proximity Read ↗

Improved prediction of HIV‐1 coreceptor usage with sequence information from the second hypervariable loop of gp120.Semantic proximity Read ↗

A genotypic method for determining HIV-2 coreceptor usage enables epidemiological studies and clinical decision support.Semantic proximity Read ↗

Variability in the human immunodeficiency virus type 1 gp120 Env protein linked to phenotype-associated changes in the V3 loop.Semantic proximity Read ↗

Evaluation of eight different bioinformatics tools to predict viral tropism in different human immunodeficiency virus type 1 subtypes.Semantic proximity Read ↗

V3 loop sequence space analysis suggests different evolutionary patterns of CCR5- and CXCR4-tropic HIV.Semantic proximity Read ↗

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