Evidence map›Paper›PMID 21743800›Full record

ArticleJournal of chemical theory and computation2011

Assessing protein loop flexibility by hierarchical Monte Carlo sampling.

Jerome Nilmeier, Lan Hua, Evangelos A Coutsias, Matthew P Jacobson

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Conformational sampling in template-free protein loop structure modeling: an overview.Computational and structural biotechnology journal · 2013
    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

4 authors at 2 institutions in 1 country.

Jerome NilmeierDepartment of Pharmaceutical Chemistry, University of California in San Francisco, San Francisco, California 94158-2517.
Lan Hua
Evangelos A Coutsias
Matthew P Jacobson
University of California, San Francisco · USUniversity of New Mexico · US

Funding

New Mathematical Methods for Protein Loop ModelingR01GM090205 · NIGMS · UNIVERSITY OF NEW MEXICO · PI COUTSIAS, EVANGELOS A. · 2009 to 2012
$1.3M
Understanding, Predicting, and Engineering Membrane PermeabilityR01GM086602 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOBSON, MATTHEW P · 2009 to 2012
$1.0M
Physics-Based Refinement of Comparative Protein ModelsR01GM081710 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOBSON, MATTHEW P · 2007 to 2009
$882k
NIGMS NIH HHS R01 GM081710NIGMS NIH HHS R01 GM086602NIGMS NIH HHS R01 GM090205
6 · The paper itself

Abstract

Loop flexibility is often crucial to protein biological function in solution. We report a new Monte Carlo method for generating conformational ensembles for protein loops and cyclic peptides. The approach incorporates the triaxial loop closure method which addresses the inverse kinematic problem for generating backbone move sets that do not break the loop. Sidechains are sampled together with the backbone in a hierarchical way, making it possible to make large moves that cross energy barriers. As an initial application, we apply the method to the flexible loop in triosephosphate isomerase that caps the active site, and demonstrate that the resulting loop ensembles agree well with key observations from previous structural studies. We also demonstrate, with 3 other test cases, the ability to distinguish relatively flexible and rigid loops within the same protein.

Identifiers

PMID21743800
PMCPMC3129859
OpenAlexW2018039926

What OpenQuestion holds

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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.