Evidence map›Paper›PMID 26213149›Full record

ArticleBiophysical journal2015

Structural Perspectives on the Evolutionary Expansion of Unique Protein-Protein Binding Sites.

Alexander Goncearenco, Alexey K Shaytan, Benjamin A Shoemaker, Anna R Panchenko

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
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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

4 authors.

Alexander GoncearencoComputational Biology Branch of the National Center for Biotechnology Information, Bethesda, Maryland.
Alexey K ShaytanComputational Biology Branch of the National Center for Biotechnology Information, Bethesda, Maryland.
Benjamin A ShoemakerComputational Biology Branch of the National Center for Biotechnology Information, Bethesda, Maryland.
Anna R PanchenkoComputational Biology Branch of the National Center for Biotechnology Information, Bethesda, Maryland. Electronic address: panch@ncbi.nlm.nih.gov.

Funding

Protein-protein binding: regulation and effect of disease mutationsZIALM090313 · NLM · NATIONAL LIBRARY OF MEDICINE · PI PANCHENKO, ANNA · 2013 to 2018
$5.2M
Intramural NIH HHS
6 · The paper itself

Abstract

Structures of protein complexes provide atomistic insights into protein interactions. Human proteins represent a quarter of all structures in the Protein Data Bank; however, available protein complexes cover less than 10% of the human proteome. Although it is theoretically possible to infer interactions in human proteins based on structures of homologous protein complexes, it is still unclear to what extent protein interactions and binding sites are conserved, and whether protein complexes from remotely related species can be used to infer interactions and binding sites. We considered biological units of protein complexes and clustered protein-protein binding sites into similarity groups based on their structure and sequence, which allowed us to identify unique binding sites. We showed that the growth rate of the number of unique binding sites in the Protein Data Bank was much slower than the growth rate of the number of structural complexes. Next, we investigated the evolutionary roots of unique binding sites and identified the major phyletic branches with the largest expansion in the number of novel binding sites. We found that many binding sites could be traced to the universal common ancestor of all cellular organisms, whereas relatively few binding sites emerged at the major evolutionary branching points. We analyzed the physicochemical properties of unique binding sites and found that the most ancient sites were the largest in size, involved many salt bridges, and were the most compact and least planar. In contrast, binding sites that appeared more recently in the evolution of eukaryotes were characterized by a larger fraction of polar and aromatic residues, and were less compact and more planar, possibly due to their more transient nature and roles in signaling processes.

Indexed as

Evolution, MolecularAnimalsBinding SitesHumansModels, MolecularProtein BindingProteinsProteins

Identifiers

PMID26213149
PMCPMC4576154

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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.