Evidence map›Paper›PMID 27748116›Full record

ArticleThe journal of physical chemistry. B2017

Why Is There a Glass Ceiling for Threading Based Protein Structure Prediction Methods?

Jeffrey Skolnick, Hongyi Zhou

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Contact-Assisted Threading in Low-Homology Protein Modeling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  2. Article
  3. Toward the solution of the protein structure prediction problem.The Journal of biological chemistry · 2021
    Review
  4. Review
  5. Review
  6. Article
  7. MELD × MD Folds Nonthreadables, Giving Native Structures and Populations.Journal of chemical theory and computation · 2018
    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

2 authors.

Jeffrey SkolnickCenter for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology , 950 Atlantic Drive Northwest, Atlanta, Georgia 30318, United States.
Hongyi ZhouCenter for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology , 950 Atlantic Drive Northwest, Atlanta, Georgia 30318, United States.

Funding

Purchase of a GPU cluster for deep learning applications in protein-protein interaction and supercomplex prediction and biochemical literature annotation.R35GM118039 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI JEFFREY SKOLNICK · 2016 to 2026
$5.8M
NIGMS NIH HHS R35 GM118039
6 · The paper itself

Abstract

Despite their different implementations, comparison of the best threading approaches to the prediction of evolutionary distant protein structures reveals that they tend to succeed or fail on the same protein targets. This is true despite the fact that the structural template library has good templates for all cases. Thus, a key question is why are certain protein structures threadable while others are not. Comparison with threading results on a set of artificial sequences selected for stability further argues that the failure of threading is due to the nature of the protein structures themselves. Using a new contact map based alignment algorithm, we demonstrate that certain folds are highly degenerate in that they can have very similar coarse grained fractions of native contacts aligned and yet differ significantly from the native structure. For threadable proteins, this is not the case. Thus, contemporary threading approaches appear to have reached a plateau, and new approaches to structure prediction are required.

Indexed as

AlgorithmsProtein ConformationProteinsProteins

Identifiers

PMID27748116
PMCPMC5398921

What OpenQuestion holds

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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.