Evidence map›Paper›PMID 27050828›Full record

ArticleScientific reports2016

Surface energetics and protein-protein interactions: analysis and mechanistic implications.

Claudio Peri, Giulia Morra, Giorgio Colombo

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Water follows polar and nonpolar protein surface domains.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  9. A Recombinant Affinity Reagent Specific for a Phosphoepitope of Akt1.International journal of molecular sciences · 2018
    Article
  10. 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.

Claudio PeriIstituto di Chimica del Riconoscimento Molecolare, Consiglio Nazionale delle Ricerche, via Mario Bianco, 9, 20131, Milan, Italy.
Giulia MorraIstituto di Chimica del Riconoscimento Molecolare, Consiglio Nazionale delle Ricerche, via Mario Bianco, 9, 20131, Milan, Italy.
Giorgio ColomboIstituto di Chimica del Riconoscimento Molecolare, Consiglio Nazionale delle Ricerche, via Mario Bianco, 9, 20131, Milan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding protein-protein interactions (PPI) at the molecular level is a fundamental task in the design of new drugs, the prediction of protein function and the clarification of the mechanisms of (dis)regulation of biochemical pathways. In this study, we use a novel computational approach to investigate the energetics of aminoacid networks located on the surface of proteins, isolated and in complex with their respective partners. Interestingly, the analysis of individual proteins identifies patches of surface residues that, when mapped on the structure of their respective complexes, reveal regions of residue-pair couplings that extend across the binding interfaces, forming continuous motifs. An enhanced effect is visible across the proteins of the dataset forming larger quaternary assemblies. The method indicates the presence of energetic signatures in the isolated proteins that are retained in the bound form, which we hypothesize to determine binding orientation upon complex formation. We propose our method, BLUEPRINT, as a complement to different approaches ranging from the ab-initio characterization of PPIs, to protein-protein docking algorithms, for the physico-chemical and functional investigation of protein-protein interactions.

Indexed as

Biophysical PhenomenaProtein Interaction MappingAlgorithmsAmino AcidsDatabases, ProteinModels, MolecularProtein BindingProtein MultimerizationSurface PropertiesThermodynamicsWorkflowAmino Acids

Identifiers

PMID27050828
PMCPMC4822145

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Registered trials

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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.