Evidence map›Paper›PMID 27181425›Full record

ArticleProteins2016

Biological function derived from predicted structures in CASP11.

Peter J Huwe, Qifang Xu, Maxim V Shapovalov, Vivek Modi, Mark D Andrake, Roland L Dunbrack

Abstract read
In one paragraph

Article in Proteins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Conservation of binding properties in protein models.Computational and structural biotechnology journal · 2021
    Article
  3. Article
  4. Article
  5. Article
  6. 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

6 authors at 1 institution in 1 country.

Peter J HuweFox Chase Cancer Center, Philadelphia, Pennsylvania, 19111.
Qifang XuFox Chase Cancer Center, Philadelphia, Pennsylvania, 19111.
Maxim V ShapovalovFox Chase Cancer Center, Philadelphia, Pennsylvania, 19111.
Vivek ModiFox Chase Cancer Center, Philadelphia, Pennsylvania, 19111.
Mark D AndrakeFox Chase Cancer Center, Philadelphia, Pennsylvania, 19111.
Roland L DunbrackFox Chase Cancer Center, Philadelphia, Pennsylvania, 19111. roland.dunbrack@fccc.edu.
Fox Chase Cancer Center · US

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
TRAINING PROGRAM IN CANCER RESEARCHT32CA009035 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI CHERNOFF, JONATHAN · 1985 to 2020
$10.5M
Bayesian Statistics and Algorithms for Homology ModelingR01GM084453 · NIGMS · RESEARCH INST OF FOX CHASE CAN CTR · PI DUNBRACK, ROLAND L · 2008 to 2016
$2.6M
NCI NIH HHS P30 CA006927NCI NIH HHS T32 CA009035NIGMS NIH HHS R01 GM084453
6 · The paper itself

Abstract

In CASP11, the organizers sought to bring the biological inferences from predicted structures to the fore. To accomplish this, we assessed the models for their ability to perform quantifiable tasks related to biological function. First, for 10 targets that were probable homodimers, we measured the accuracy of docking the models into homodimers as a function of GDT-TS of the monomers, which produced characteristic L-shaped plots. At low GDT-TS, none of the models could be docked correctly as homodimers. Above GDT-TS of ∼60%, some models formed correct homodimers in one of the largest docked clusters, while many other models at the same values of GDT-TS did not. Docking was more successful when many of the templates shared the same homodimer. Second, we docked a ligand from an experimental structure into each of the models of one of the targets. Docking to the models with two different programs produced poor ligand RMSDs with the experimental structure. Measures that evaluated similarity of contacts were reasonable for some of the models, although there was not a significant correlation with model accuracy. Finally, we assessed whether models would be useful in predicting the phenotypes of missense mutations in three human targets by comparing features calculated from the models with those calculated from the experimental structures. The models were successful in reproducing accessible surface areas but there was little correlation of model accuracy with calculation of FoldX evaluation of the change in free energy between the wild-type and the mutant. Proteins 2016; 84(Suppl 1):370-391. © 2016 Wiley Periodicals, Inc.

Indexed as

Models, StatisticalMolecular Docking SimulationAmidohydrolasesBinding SitesComputational BiologyCyclic AMP-Dependent Protein KinasesGPI-Linked ProteinsHepatocyte Growth FactorHIV Envelope Protein gp120HumansLigandsMutation, MissensePhenotypeProtein BindingProtein DomainsProtein FoldingAmidohydrolasesCyclic AMP-Dependent Protein KinasesGPI-Linked ProteinsHepatocyte Growth FactorHIV Envelope Protein gp120Ligandsmacrophage stimulating proteinpantetheinaseProto-Oncogene ProteinsCASP11missense mutation phenotype predictionprotein dockingprotein functionprotein structure prediction

Identifiers

PMID27181425
PMCPMC4963311
OpenAlexW2407285909

What OpenQuestion holds

Textmetadata
LicenceTDM
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.