Evidence map›Paper›PMID 17286863›Full record

ArticleBMC bioinformatics2007

Identifying allosteric fluctuation transitions between different protein conformational states as applied to Cyclin Dependent Kinase 2.

Jenny Gu, Philip E Bourne

Abstract read
In one paragraph

Article in BMC bioinformatics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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.

Jenny GuDepartment of Pharmacology and Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA 92093, USA. jgu@sdsc.edu
Philip E Bourne

Funding

Tools &Data Resources in Support of Structural GenomicsP01GM063208 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BOURNE, PHILIP E · 2002 to 2006
$5.3M
NIGMS NIH HHS GM63208NIGMS NIH HHS P01 GM063208
6 · The paper itself

Abstract

backgroundThe mechanisms underlying protein function and associated conformational change are dominated by a series of local entropy fluctuations affecting the global structure yet are mediated by only a few key residues. Transitional Dynamic Analysis (TDA) is a new method to detect these changes in local protein flexibility between different conformations arising from, for example, ligand binding. Additionally, Positional Impact Vertex for Entropy Transfer (PIVET) uses TDA to identify important residue contact changes that have a large impact on global fluctuation. We demonstrate the utility of these methods for Cyclin-dependent kinase 2 (CDK2), a system with crystal structures of this protein in multiple functionally relevant conformations and experimental data revealing the importance of local fluctuation changes for protein function.

resultsTDA and PIVET successfully identified select residues that are responsible for conformation specific regional fluctuation in the activation cycle of Cyclin Dependent Kinase 2 (CDK2). The detected local changes in protein flexibility have been experimentally confirmed to be essential for the regulation and function of the kinase. The methodologies also highlighted possible errors in previous molecular dynamic simulations that need to be resolved in order to understand this key player in cell cycle regulation. Finally, the use of entropy compensation as a possible allosteric mechanism for protein function is reported for CDK2.

conclusionThe methodologies embodied in TDA and PIVET provide a quick approach to identify local fluctuation change important for protein function and residue contacts that contributes to these changes. Further, these approaches can be used to check for possible errors in protein dynamic simulations and have the potential to facilitate a better understanding of the contribution of entropy to protein allostery and function.

Indexed as

Models, ChemicalModels, MolecularAlgorithmsAmino Acid SequenceBinding SitesComputer SimulationCyclin-Dependent Kinase 2IsomerismKineticsMolecular Sequence DataProtein BindingProtein ConformationSequence Analysis, ProteinStructure-Activity RelationshipThermodynamicsCyclin-Dependent Kinase 2

Identifiers

PMID17286863
PMCPMC1800904

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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.