Evidence map›Paper›PMID 28425706›Full record

ArticleJournal of chemical information and modeling2017

Allosteric Autoinhibition Pathway in Transcription Factor ERG: Dynamics Network and Mutant Experimental Evaluations.

Wei Ye, Tianle Qian, Hao Liu, Ray Luo, Hai-Feng Chen

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Wei YeState Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, SJTU-Yale Joint Center for Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , 800 Dongchuan Road, Shanghai, 200240, China.
Tianle QianState Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, SJTU-Yale Joint Center for Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , 800 Dongchuan Road, Shanghai, 200240, China.
Hao LiuState Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, SJTU-Yale Joint Center for Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , 800 Dongchuan Road, Shanghai, 200240, China.
Ray LuoDepartments of Molecular Biology and Biochemistry, Chemical Engineering and Materials Science, and Biomedical Engineering, University of California , Irvine, California 92697-3900, United States.ORCID 0000-0002-6346-8271
Hai-Feng ChenState Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, SJTU-Yale Joint Center for Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University , 800 Dongchuan Road, Shanghai, 200240, China.ORCID 0000-0002-7496-4182
Shanghai Jiao Tong University · CNUniversity of California, Irvine · US

Funding

AMBER force field consortium: a coherent biomolecular simulation platformR01GM079383 · NIGMS · UNIVERSITY OF CALIFORNIA AT DAVIS · PI CIEPLAK, PIOTR, DUAN, YONG · 2007 to 2017
$4.7M
AMBER/PBSA: An Open-Source Computer Program for Accurate and Scalable Solvation Analysis ofBiomoleculesR01GM093040 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LUO, RAY · 2010 to 2018
$2.2M
Tailored Mobile Text Messaging to Reduce Problem DrinkingR34AA021502 · NIAAA · NEW YORK STATE PSYCHIATRIC INSTITUTE DBA RESEARCH FOUNDATION FOR MENTAL HYGIENE, INC · PI MUENCH, FREDERICK JOHN · 2012 to 2014
$675k
NIAAA NIH HHS R34 AA021502NIGMS NIH HHS R01 GM079383NIGMS NIH HHS R01 GM093040
6 · The paper itself

Abstract

Allosteric autoinhibition exists in many transcription factors. The ERG proteins exhibit autoinhibition on DNA binding by the C-terminal and N-terminal inhibitory domains (CID and NID). However, the autoinhibition mechanism and allosteric pathway of ERG are unknown. In this study we intend to elucidate the residue-level allosteric mechanism and pathway via a combined approach of computational and experimental analyses. Specifically computational residue-level fluctuation correlation data was analyzed to reveal detailed dynamics signatures in the allosteric autoinhibition process. A hypothesis of "NID/CID binding induced allostery" is proposed to link similar structures and different protein functions, which is subsequently validated by perturbation and mutation analyses in both computation and experiment. Two possible allosteric autoinhibition pathways of L286-L382-A379-G377-I360-Y355-R353 and L286-L382-A379-G377-I360-Y355- A351-K347-R350 were identified computationally and were confirmed by the computational and experimental mutations. Specifically we identified two mutation sites on the allosteric inhibition pathways, L286P/Q383P (NID/CID binding site) and I360G (pathway junction), which completely restore the wild type DNA binding affinity. These results suggest that the putative protein structure-function relationship may be augmented with a general relationship of protein "structure/fluctuation-correlation/function" for more thorough analyses of protein functions.

Indexed as

Molecular Dynamics SimulationAllosteric RegulationCrystallography, X-RayDNAHumansModels, MolecularMutationProtein BindingProtein DomainsSignal TransductionTranscriptional Regulator ERGDNAERG protein, humanTranscriptional Regulator ERG

Identifiers

PMID28425706
PMCPMC5730271
OpenAlexW2607067086

What OpenQuestion holds

Textmetadata
LicenceTDM
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.