Evidence map›Paper›PMID 37596782›Full record

ArticleProtein science : a publication of the Protein Society2023

AQcalc: A web server that identifies weak molecular interactions in protein structures.

Maral Afshinpour, Logan A Smith, Suvobrata Chakravarty

Open access · bronzeAbstract read
In one paragraph

Article in Protein science : a publication of the Protein Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. AQcalc: A web server that identifies weak molecular interactions in protein structures.Protein science : a publication of the Protein Society · 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.

Maral AfshinpourDepartment of Chemistry & Biochemistry, South Dakota State University, Brookings, South Dakota, USA.
Logan A SmithDepartment of Chemistry & Biochemistry, South Dakota State University, Brookings, South Dakota, USA.
Suvobrata ChakravartyDepartment of Chemistry & Biochemistry, South Dakota State University, Brookings, South Dakota, USA.ORCID 0000-0002-0044-3931
South Dakota State University · US

Funding

Assessing the Strength of Weak Ties for Interpreting Human ExomeR15GM134502 · NIGMS · SOUTH DAKOTA STATE UNIVERSITY · PI CHAKRAVARTY, SUVOBRATA · 2019 to 2025
$951k
Discovery of Readers and Design of Sensors To Interpret Global Histone MarksR15GM116040 · NIGMS · SOUTH DAKOTA STATE UNIVERSITY · PI CHAKRAVARTY, SUVOBRATA · 2016 to 2016
$415k
NIGMS NIH HHS R15 GM116040NIGMS NIH HHS R15 GM134502
6 · The paper itself

Abstract

Weak molecular interactions play an important role in protein structure and function. Computational tools that identify weak molecular interactions are, therefore, valuable for the study of proteins. Here, we present AQcalc, a web server (https://aqcalcbiocomputing.com/) that can be used to identify anion-quadrupole (AQ) interactions, which are weak interactions involving aromatic residue (Trp, Tyr, and Phe) ring edges and anions (Asp, Glu, and phosphate ion) both within proteins and at their interfaces (protein-protein, protein-nucleic acids, and protein-lipid bilayer). AQcalc identifies AQ interactions as well as clusters involving AQ, cation-π, and salt bridges, among others. Utilizing AQcalc we analyzed weak interactions in protein models, even in the absence of experimental structures, to understand the contributions of weak interactions to deleterious structural changes, including those associated with oncogenic and germline disease variants. We identified several deleterious variants with disrupted AQ interactions (comparable in frequency to cation-π disruptions). Amyloid fibrils utilize AQ to bury anions at frequencies that far exceed those observed for globular proteins. AQ interactions were detected three and five times more frequently than the hydrogen-bonded AQ (HBAQ) in fibril structures and protein-lipid bilayer interfaces, respectively. By contrast, AQ and HBAQ interactions were detected with similar frequencies in globular proteins. Collectively, these findings suggest AQcalc will be effective in facilitating fine structural analysis. As other web utilities designed to identify protein residue interaction networks do not report AQ interactions, wide use of AQcalc will enrich our understanding of residue interaction networks and facilitate hypothesis testing by identifying and experimentally characterizing these comparably weak but important interactions.

Indexed as

Lipid BilayersProteinsAnionsCationsModels, MolecularAnionsCationsLipid BilayersProteinsAlphaFold2anion-quadrupolecation-πdisordered regionsinterfacesMemProtMDpost-translational modificationvariantsweak molecular interactions

Identifiers

PMID37596782
PMCPMC10503417
OpenAlexW4385997272

What OpenQuestion holds

Textmetadata
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.