Evidence map›Paper›PMID 27455965›Full record

ReviewCurrent protein & peptide science2017

Determinants of Macromolecular Specificity from Proteomics-Derived Peptide Substrate Data.

Julian E Fuchs, Oliver Schilling, Klaus R Liedl

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Current protein & peptide science, 2017. 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
–field-weighted citation impact
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.

  1. Review
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.

Julian E FuchsCentre for Molecular Informatics, Department of Chemistry, University of Cambridge, Lensfield Road, Cambridge CB2 1EW, United Kingdom.
Oliver SchillingInstitute of Molecular Medicine and Cell Research, University of Freiburg, Stefan-Meier- Str. 17, D-79104 Freiburg, Germany.
Klaus R LiedlInstitute of General, Inorganic and Theoretical Chemistry, Center for Molecular Biosciences Innsbruck (CMBI), University of Innsbruck, Innrain 80/82, A-6020 Innsbruck, Austria.

Funding

Austrian Science Fund FWF P 23051Austrian Science Fund FWF P 26997Medical Research Council MR/K020919/1
6 · The paper itself

Abstract

backgroundRecent advances in proteomics methodologies allow for high throughput profiling of proteolytic cleavage events. The resulting substrate peptide distributions provide deep insights in the underlying macromolecular recognition events, as determinants of biomolecular specificity identified by proteomics approaches may be compared to structure-based analysis of corresponding protein-protein interfaces.

methodHere, we present an overview of experimental and computational methodologies and tools applied in the area and provide an outlook beyond the protein class of proteases. RESULTS AND

conclusionWe discuss here future potential, synergies and needs of the emerging overlap disciplines of proteomics and structure-based modelling.

Indexed as

AnimalsBinding SitesHumansModels, MolecularPeptide HydrolasesPeptidesProtein BindingProtein ConformationProteolysisProteomeProteomicsSubstrate SpecificityPeptide HydrolasesPeptidesProteomeMacromolecular recognitionmolecular modellingpeptide bindingprotease substrate profilingprotein-protein-interfacespecificity

Identifiers

PMID27455965
PMCPMC5898033

What OpenQuestion holds

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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.