Evidence map›Paper›PMID 23690621›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2013

Interplay of physics and evolution in the likely origin of protein biochemical function.

Jeffrey Skolnick, Mu Gao

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.1field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
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  7. FRAGSITE: A Fragment-Based Approach for Virtual Ligand Screening.Journal of chemical information and modeling · 2021
    Article
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  12. Complex evolutionary footprints revealed in an analysis of reused protein segments of diverse lengths.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
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  15. The natural productome.Proceedings of the National Academy of Sciences of the United States of America · 2017
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  17. Article
  18. Review
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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

2 authors at 1 institution in 1 country.

Jeffrey SkolnickCenter for the Study of Systems Biology, School of Biology, Georgia Institute of Technology, Atlanta, GA 30318, USA. skolnick@gatech.edu
Mu Gao
Georgia Institute of Technology · US

Funding

Interaction Pattern Based Predictor of Protein StruturesR01GM048835 · NIGMS · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI SKOLNICK, JEFFREY · 1994 to 2015
$4.0M
NIGMS NIH HHS GM-48835NIGMS NIH HHS R01 GM048835
6 · The paper itself

Abstract

The intrinsic ability of protein structures to exhibit the geometric and sequence properties required for ligand binding without evolutionary selection is shown by the coincidence of the properties of pockets in native, single domain proteins with those in computationally generated, compact homopolypeptide, artificial (ART) structures. The library of native pockets is covered by a remarkably small number of representative pockets (∼400), with virtually every native pocket having a statistically significant match in the ART library, suggesting that the library is complete. When sequences are selected for ART structures based on fold stability, pocket sequence conservation is coincident to native. The fact that structurally and sequentially similar pockets occur across fold classes combined with the small number of representative pockets in native proteins implies that promiscuous interactions are inherent to proteins. Based on comparison of PDB (real, single domain protein structures found in the Protein Data Bank) and ART structures and pockets, the widespread assumption that the co-occurrence of global structure, pocket similarity, and amino acid conservation demands an evolutionary relationship between proteins is shown to significantly underestimate the random background probability. Indeed, many features of biochemical function arise from the physical properties of proteins that evolution likely fine-tunes to achieve specificity. Finally, our study suggests that a repertoire of thermodynamically (marginally) stable proteins could engage in many of the biochemical reactions needed for living systems without selection for function, a conclusion with significant implications for the origin of life.

Indexed as

AlgorithmsEvolution, MolecularModels, ChemicalProtein ConformationLigandsProtein BindingProteinsLigandsProteinsprotein evolutionprotein–ligand interactionsprotein pocket space

Identifiers

PMID23690621
PMCPMC3677488
OpenAlexW2053012672

What OpenQuestion holds

Textmetadata
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.