Evidence map›Paper›PMID 28460216›Full record

ReviewCurrent opinion in structural biology2017

Protein structural motifs in prediction and design.

Craig O Mackenzie, Gevorg Grigoryan

Abstract readReview
In one paragraph

Review in Current opinion in structural biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. A Conserved Local Structural Motif Controls the Kinetics of PTP1B Catalysis.Journal of chemical information and modeling · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Quarterly reviews of biophysics · 2020
    Review
  16. A general-purpose protein design framework based on mining sequence-structure relationships in known protein structures.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  17. Probing the Structural Dynamics of theFrontiers in molecular biosciences · 2020
    Article
  18. Advances in protein structure prediction and design.Nature reviews. Molecular cell biology · 2019
    Review
  19. Article
  20. 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

2 authors.

Craig O MackenzieInstitute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, NH 03755, United States.
Gevorg GrigoryanInstitute for Quantitative Biomedical Sciences, Dartmouth College, Hanover, NH 03755, United States; Department of Computer Science, Dartmouth College, Hanover, NH 03755, United States. Electronic address: gevorg.grigoryan@dartmouth.edu.

Funding

Understanding the role of RNA-binding protein mutations in cancerP20GM113132 · NIGMS · DARTMOUTH COLLEGE · PI MADDEN, DEAN R · 2016 to 2025
$25.9M
NIGMS NIH HHS P20 GM113132
6 · The paper itself

Abstract

The Protein Data Bank (PDB) has been an integral resource for shaping our fundamental understanding of protein structure and for the advancement of such applications as protein design and structure prediction. Over the years, information from the PDB has been used to generate models ranging from specific structural mechanisms to general statistical potentials. With accumulating structural data, it has become possible to mine for more complete and complex structural observations, deducing more accurate generalizations. Motif libraries, which capture recurring structural features along with their sequence preferences, have exposed modularity in the structural universe and found successful application in various problems of structural biology. Here we summarize recent achievements in this arena, focusing on subdomain level structural patterns and their applications to protein design and structure prediction, and suggest promising future directions as the structural database continues to grow.

Indexed as

Drug DesignAmino Acid MotifsComputational BiologyDatabases, ProteinProteinsProteins

Identifiers

PMID28460216
PMCPMC5513761

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.