Evidence map›Paper›PMID 30872918›Full record

ArticleEvolutionary bioinformatics online2019

The Molecular Basis of pH-Modulated HIV gp120 Binding Revealed.

Scott P Morton, Julie B Phillips, Joshua L Phillips

Open access · goldAbstract read
In one paragraph

Article in Evolutionary bioinformatics online, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 43% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. PurificationDB: database of purification conditions for proteins.Database : the journal of biological databases and curation · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Scott P MortonCenter for Computational Science, College of Basic and Applied Sciences, Middle Tennessee State University, Murfreesboro, TN, USA.ORCID https://orcid.org/0000-0002-3777-7089
Julie B PhillipsDepartment of Biology, Cumberland University, Lebanon, TN, USA.ORCID https://orcid.org/0000-0002-4619-6083
Joshua L PhillipsCenter for Computational Science, College of Basic and Applied Sciences, Middle Tennessee State University, Murfreesboro, TN, USA.
Middle Tennessee State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decades of research has yet to provide a vaccine for HIV, the virus which causes AIDS. Recent theoretical research has turned attention to mucosa pH levels over systemic pH levels. Previous research in this field developed a computational approach for determining pH sensitivity that indicated higher potential for transmission at mucosa pH levels present during intercourse. The process was extended to incorporate a principal component analysis (PCA)-based machine learning technique for classification of gp120 proteins against a known transmitted variant called Biomolecular Electro-Static Indexing (BESI). The original process has since been extended to the residue level by a process we termed Electrostatic Variance Masking (EVM) and used in conjunction with BESI to determine structural differences present among various subspecies across Clades A1 and C. Results indicate that structures outside of the core selected by EVM may be responsible for binding affinity observed in many other studies and that pH modulation of select substructures indicated by EVM may influence specific regions of the viral envelope protein (Env) involved in protein-protein interactions.

Indexed as

bindingCD4electrostaticsEnvgp120HIVmucosapH

Identifiers

PMID30872918
PMCPMC6407167
OpenAlexW2921798619

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.