Evidence map›Paper›PMID 17729286›Full record

ArticleProteins2008

Loop modeling: Sampling, filtering, and scoring.

Cinque S Soto, Marc Fasnacht, Jiang Zhu, Lucy Forrest, Barry Honig

Abstract read
In one paragraph

Article in Proteins, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers.

0numbers the graph read from it
0cells of the map it votes in
72citing 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

72 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Simple Selection Procedure to Distinguish between Static and Flexible Loops.International journal of molecular sciences · 2020
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Antibody H3 Structure Prediction.Computational and structural biotechnology journal · 2017
    Review
  13. RCD+: Fast loop modeling server.Nucleic acids research · 2016
    Article
  14. Non-degradative Ubiquitination of Protein Kinases.PLoS computational biology · 2016
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article

12 more citing papers are in PubMed but not listed here.

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.

Cinque S SotoHoward Hughes Medical Institute, Center for Computational Biology and Bioinformatics, Department of Biochemistry and Molecular Biophysics, Columbia University, New York, New York 10032, USA.
Marc Fasnacht
Jiang Zhu
Lucy Forrest
Barry Honig

Funding

COMPUTER STUDIES OF PROTEIN STRUCTURE AND FUNCTIONR01GM030518 · NIGMS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HONIG, BARRY H · 1985 to 2020
$4.5M
COMPUTER STUDIES OF PROTEIN STRUCTURE AND FUNCTIONR37GM030518 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HONIG, BARRY H · 1995 to 2004
$1.5M
NIGMS NIH HHS GM30518NIGMS NIH HHS R01 GM030518
6 · The paper itself

Abstract

We describe a fast and accurate protocol, LoopBuilder, for the prediction of loop conformations in proteins. The procedure includes extensive sampling of backbone conformations, side chain addition, the use of a statistical potential to select a subset of these conformations, and, finally, an energy minimization and ranking with an all-atom force field. We find that the Direct Tweak algorithm used in the previously developed LOOPY program is successful in generating an ensemble of conformations that on average are closer to the native conformation than those generated by other methods. An important feature of Direct Tweak is that it checks for interactions between the loop and the rest of the protein during the loop closure process. DFIRE is found to be a particularly effective statistical potential that can bias conformation space toward conformations that are close to the native structure. Its application as a filter prior to a full molecular mechanics energy minimization both improves prediction accuracy and offers a significant savings in computer time. Final scoring is based on the OPLS/SBG-NP force field implemented in the PLOP program. The approach is also shown to be quite successful in predicting loop conformations for cases where the native side chain conformations are assumed to be unknown, suggesting that it will prove effective in real homology modeling applications.

Indexed as

AlgorithmsProtein ConformationDatabases, ProteinModels, MolecularProteinsSoftwareThermodynamicsProteins

Identifiers

PMID17729286
PMCPMC2553011

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.