Evidence map›Paper›PMID 26889875›Full record

ArticleProteins2016

Assessment of CASP11 contact-assisted predictions.

Lisa N Kinch, Wenlin Li, Bohdan Monastyrskyy, Andriy Kryshtafovych, Nick V Grishin

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
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  3. RDbBMC bioinformatics · 2020
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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

5 authors.

Lisa N KinchHoward Hughes Medical Institute, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, 75390-9050. lkinch@chop.swmed.edu.
Wenlin LiDepartment of Biophysics, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, 75390-9050.
Bohdan MonastyrskyyGenome Center, University of California, Davis, California, 95616.
Andriy KryshtafovychGenome Center, University of California, Davis, California, 95616.
Nick V GrishinHoward Hughes Medical Institute, University of Texas Southwestern Medical Center at Dallas, Dallas, Texas, 75390-9050.

Funding

Computational methods for structural-functional studies of proteinsR01GM094575 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2010 to 2017
$2.4M
Computations of Fold Changes in Evolution of ProteinsR01GM067165 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2003 to 2006
$1.1M
Howard Hughes Medical InstituteNIGMS NIH HHS R01 GM067165NIGMS NIH HHS R01 GM094575
6 · The paper itself

Abstract

We present an overview of contact-assisted predictions in the eleventh round of critical assessment of protein structure prediction (CASP11), which included four categories: predicted contacts (Tp), correct contacts (Tc), simulated sparse NMR contacts (Ts), and cross-linking contacts (Tx). Comparison of assisted to unassisted model quality highlighted a relatively poor overall performance in CASP11 using predicted Tp and crosslinked Tx contact information. However, average model quality significantly improved in the correct Tc and simulated NMR Ts categories for most targets, where maximum improvement of unassisted models reached an impressive 70 GDT_TS. Comparison of the performance in the correct Tc category to CASP10 suggested the improvement in CASP11 model quality originated from an increased number of provided contacts per target. Group rankings based on a combination of scores used in the CASP11 free modeling (FM) assessment for each category highlight four top-performing groups, with three from the Lee lab and one from the Baker lab. We used the overall performance of these groups in each category to develop hypotheses for their relative outperformance in the correct Tc and simulated NMR Ts categories, which stemmed from the fraction of correct contacts provided (correct Tc category) and a reduced fraction of correct contacts offset by an increased coverage of the correct contacts (simulated NMR Ts category). Proteins 2016; 84(Suppl 1):164-180. © 2016 Wiley Periodicals, Inc.

Indexed as

Models, MolecularModels, StatisticalSoftwareAlgorithmsComputational BiologyComputer SimulationCross-Linking ReagentsDatabases, ProteinInternational CooperationInternetProtein FoldingProtein Interaction Domains and MotifsProteinsProtein Structure, SecondaryCross-Linking ReagentsProteinsCASP11contact-assistedprotein structure prediction

Identifiers

PMID26889875
PMCPMC5485253

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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.