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Mass Spectrometry and Machine Learning Reveal Determinants of Client Recognition by Antiamyloid Chaperones

Molecular & Cellular Proteomics(2022)10.1016/j.mcpro.2022.100413Source: DataRank Database

Mass Spectrometry and Machine Learning Reveal Determinants of Client Recognition by Antiamyloid Chaperones is a research paper published in Molecular & Cellular Proteomics (2022). On theSindex it has a DataRank of 0.345. It has been cited 9 times.

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0.345DataRank · unranked

Scored on demand from live citation data

9 citations

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Cite:

Linked data & code

Mass spectrometric data for chaperone-ligand interactions · Dryad

doi

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (12 grants)Impact (FWCI 0.71)OA: goldTopics (54)Linked Datasets (1)DataCite Reuse (1)IDs (PubMed, PMC, OpenAlex)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (2/2)

Has DOI
Indexed in repositories

Accessible (0/2)

Interoperable (2/2)

DataCite relations
Linked datasets

Reusable (0/3)

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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.345

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (11)

Thibault Vosselman ORCID,Axel Leppert ORCID,Astrid Gräslund,Hans Jörnvall,Leopold L. Ilag ORCID

Live enrichment

PubMed:36115577 PMC:PMC9563204 OpenAlex:https://openalex.org/W4295941941

Novo Nordisk Fonden

Grant: NNF19OC0055700

Novo Nordisk Fonden

Grant: VR-2021-04744

Vetenskapsrådet

Grant: 2013-08807

Vetenskapsrådet

Grant: VR-2016-06301

Vetenskapsrådet

Grant: 2019-01961

Knut och Alice Wallenbergs Stiftelse

Grant: 2020-04825

Cancerfonden

Grant: 19 0480

Novo Nordisk Fonden

Grant: NNF18OC0055700

Knut and Alice Wallenberg Foundation

Grant: unidentified

unidentified

Stiftelsen Olle Engkvist Byggmästare

Swedish e-Science Research Centre

Karolinska Institute

FWCI

0.71

Citation Percentile

0.7%

Citation Trend

2023

goldLicense: cc-by

journalhttp://www.mcponline.org/article/S1535947622002213/pdf

publisherhttp://www.mcponline.org/article/S1535947622002213/pdf

publisherhttps://api.elsevier.com/content/article/PII:S1535947622002213?httpAccept=text/xml

publisherhttps://api.elsevier.com/content/article/PII:S1535947622002213?httpAccept=text/plain

journalhttps://doi.org/10.1016/j.mcpro.2022.100413

Fields of Study

Protein Structure and DynamicsComputational Drug Discovery MethodsMetabolomics and Mass Spectrometry Studies0301 basic medicine03 medical and health sciences0303 health sciences

MeSH Terms

Machine LearningAmyloidDeuteriumHumansLactoglobulinsLigandsPrealbuminMass SpectrometryThioredoxinsAmyloid beta-PeptidesMolecular ChaperonesPulmonary Surfactant-Associated Proteins

Keywords

Mass spectrometryChemistryComputer scienceComputational biologyChromatographyBiologyMolecular chaperonesprotein misfoldingMachine LearningStructural ProteomicsAmyloidPulmonary Surfactant-Associated ProteinsCell- och molekylärbiologiBETALactoglobulinsLigandsBiochemistryBINDING-SITESGAS-PHASEThioredoxinsHumansPrealbuminBiokemiMolecular BiologyPROSURFACTANT PROTEIN-CMolekylärbiologiAmyloid beta-PeptidesResearchION MOBILITYAMYLOID FIBRILLATIONAGGREGATIONTRANSTHYRETINDeuteriumINSIGHTSBRICHOS DOMAINCell and Molecular Biology

Sustainable Development Goals

SDG 3: 3. Good health

Mass spectrometric data for chaperone-ligand interactions

10.5061/dryad.r2280gbgjDryad