Evidence map›Paper›PMID 36830697›Full record

ArticleBiomolecules2023

Comparative Modeling and Analysis of Extremophilic D-Ala-D-Ala Carboxypeptidases.

Elizabeth M Diessner, Gemma R Takahashi, Rachel W Martin, Carter T Butts

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 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
0.5field-weighted citation impact, top 47% 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, 5 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 1 institution in 1 country.

Elizabeth M DiessnerDepartment of Chemistry, University of California, Irvine, CA 92697, USA.ORCID 0000-0002-8884-4157
Gemma R TakahashiDepartment of Molecular Biology and Biochemistry, University of California, Irvine, CA 92697, USA.
Rachel W MartinDepartment of Chemistry, University of California, Irvine, CA 92697, USA.ORCID 0000-0001-9996-7411
Carter T ButtsDepartments of Sociology, Statistics, Electrical Engineering and Computer Science, University of California, Irvine, CA 92697, USA.ORCID 0000-0002-7911-9834
University of California, Irvine · US

Funding

NASA 80NSSC20K0620
6 · The paper itself

Abstract

Understanding the molecular adaptations of organisms to extreme environments requires a comparative analysis of protein structure, function, and dynamics across species found in different environmental conditions. Computational studies can be particularly useful in this pursuit, allowing exploratory studies of large numbers of proteins under different thermal and chemical conditions that would be infeasible to carry out experimentally. Here, we perform such a study of the MEROPS family S11, S12, and S13 proteases from psychophilic, mesophilic, and thermophilic bacteria. Using a combination of protein structure prediction, atomistic molecular dynamics, and trajectory analysis, we examine both conserved features and trends across thermal groups. Our findings suggest a number of hypotheses for experimental investigation.

Indexed as

ExtremophilesAdaptation, PhysiologicalCarboxypeptidasesDipeptidesProteinsalanylalanineCarboxypeptidasesDipeptidesProteinscomparative modelingextremophilesmachine learningMEROPS S11molecular dynamicsserine protease

Identifiers

PMID36830697
PMCPMC9953012
OpenAlexW4319786933

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.