Evidence map›Paper›PMID 36753783›Full record

ArticleComputational biology and chemistry2023

Introducing mirror-image discrimination capability to the TSR-based method for capturing stereo geometry and understanding hierarchical structure relationships of protein receptor family.

Titli Sarkar, Yuwu Chen, Yu Wang, Yixin Chen, Feng Chen, Camille R Reaux, Laura E Moore, Vijay Raghavan, Wu Xu

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Computational biology and chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 4 institutions in 1 country.

Titli SarkarDepartment of Chemistry, University of Louisiana at Lafayette, P.O. Box 44370, Lafayette, LA 70504, USA; The Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA 70504, USA.
Yuwu ChenSan Diego Supercomputer Center, University of California San Diego, Gilman Drive, La Jolla, CA 92093, USA.
Yu WangDepartment of Chemistry, University of Louisiana at Lafayette, P.O. Box 44370, Lafayette, LA 70504, USA.
Yixin ChenDepartment of Computer and Information Science, The University of Mississippi, MS 38677, USA.
Feng ChenHigh Performance Computing, Frey Computing Services Center, Louisiana State University, Baton Rouge, LA 70803, USA.
Camille R ReauxDepartment of Chemistry, University of Louisiana at Lafayette, P.O. Box 44370, Lafayette, LA 70504, USA.
Laura E MooreDepartment of Chemistry, University of Louisiana at Lafayette, P.O. Box 44370, Lafayette, LA 70504, USA.
Vijay RaghavanThe Center for Advanced Computer Studies, University of Louisiana at Lafayette, Lafayette, LA 70504, USA.
Wu XuDepartment of Chemistry, University of Louisiana at Lafayette, P.O. Box 44370, Lafayette, LA 70504, USA. Electronic address: wxx6941@louisiana.edu.
University of Louisiana at Lafayette · USLouisiana State University · USSan Diego Supercomputer Center · USUniversity of California, San Diego · US

Funding

Development of a new TSR algorithm to represent sequences of proteins and 3D structures of nucleotides and molecular complexes for mechanistic understanding of protein sequence and structure relationsR15GM144944 · NIGMS · UNIVERSITY OF LOUISIANA AT LAFAYETTE · PI Wu Xu · 2021 to 2026
$963k
NIGMS NIH HHS R15 GM144944
6 · The paper itself

Abstract

We have developed a Triangular Spatial Relationship (TSR)-based computational method for protein structure comparison and motif discovery that is both sequence and structure alignment-free. A protein 3D structure is modeled by all possible triangles that are constructed with every three C

Indexed as

Amino AcidsProteinsLigandsModels, MolecularAmino AcidsLigandsProteinsChiralityHierarchicalMirror imageProtein receptorStereospecificStructure comparisonStructure motifTSR

Identifiers

PMID36753783
PMCPMC9992349
OpenAlexW4319160392

What OpenQuestion holds

Textmetadata
LicenceTDM
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.