Evidence map›Paper›PMID 21660120›Full record

ArticleJournal of chemical theory and computation2010

Heterogeneous path ensembles for conformational transitions in semi-atomistic models of adenylate kinase.

Divesh Bhatt, Daniel M Zuckerman

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2010. 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.

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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

2 authors.

Divesh BhattDepartment of Computational and Systems Biology, University of Pittsburgh.
Daniel M Zuckerman

Funding

Fast Computations for Structural Transitions in ProteinsR01GM070987 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ZUCKERMAN, DANIEL M · 2004 to 2008
$1.1M
Toward Practical, Rigorous Binding Affinity CalculationsR01GM076569 · NIGMS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI ZUCKERMAN, DANIEL M · 2007 to 2011
$1.0M
NIGMS NIH HHS R01 GM070987NIGMS NIH HHS R01 GM076569
6 · The paper itself

Abstract

We performed "weighted ensemble" path-sampling simulations of adenylate kinase, using several semi-atomistic protein models. The models have an all-atom backbone with various levels of residue interactions. The primary result is that full statistically rigorous path sampling required only a few weeks of single-processor computing time with these models, indicating the addition of further chemical detail should be readily feasible. Our semi-atomistic path ensembles are consistent with previous biophysical findings: the presence of two distinct pathways, identification of intermediates, and symmetry of forward and reverse pathways.

Identifiers

PMID21660120
PMCPMC3108504

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Registered trials

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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.