Evidence map›Paper›PMID 36149511›Full record

ArticleJournal of molecular modeling2022

Computational insights into the differentiated binding affinities of Myc, Max, and Omomyc dimers to the E-boxes of DNA.

Yuxin Dai, Jinyuan Zhang, Yinchuan Wang, Linlin Liu, Jian Gao

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 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 1 institution in 1 country.

Yuxin DaiJiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People's Republic of China.
Jinyuan ZhangJiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People's Republic of China.
Yinchuan WangJiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People's Republic of China.
Linlin LiuJiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People's Republic of China. liulinlin0103@163.com.
Jian GaoJiangsu Key Laboratory of New Drug Research and Clinical Pharmacy, Xuzhou Medical University, Xuzhou, Jiangsu, 221004, People's Republic of China. gaojian@xzhmu.edu.cn.ORCID http://orcid.org/0000-0001-6723-0490
Xuzhou Medical College · CN

Funding

Jiangsu Training Programs of Innovation and Entrepreneurship for Undergraduates 202110313022ZQinglan Project of Jiangsu Province of China Jian GaoSix Talent Peaks Project in Jiangsu Province YY-046
6 · The paper itself

Abstract

Myc is a bHLHZip protein involved in growth control and cancer, which does not form a homodimer. Myc operates in a network with its heterodimerization partner Max, the latter of which can form homodimer and heterodimer. Omomyc, a polypeptide, can block Myc to treat cancers because it can both homodimerize as efficiently as Max and heterodimerize with both Myc and Max. However, the binding efficiencies to DNA for the mentioned two homodimers (Omomyc-Omomyc and Max-Max) and three heterodimers (Myc-Max, Omomyc-Myc, and Omomyc-Max) are still controversial. By molecular dynamics simulations and MM/GBSA free energy calculation, we ranked the binding affinities of five dimers to DNA and analyzed the contribution of single amino acids to the molecular recognition of dimers to DNA. Our simulation showed that the Omomyc-Omomyc dimer exhibited the highest binding energy to DNA, followed by the Omomyc-Myc, Max-Max, Omomyc-Max, and Myc-Max dimers. Moreover, five Arg residues (i.e., 7, 8, 15, 17, and 18 numbered by Omomyc) and five Lys residues (i.e., 6, 22, 40, 43, and 48 numbered by Omomyc) dominated the binding of various dimers to DNA while the residues Asp23 and Asp37 weakened the affinities via repulsive interaction. Our simulation would provide worthy information for further development of the structure-based design of novel Omomyc-like peptide inhibitors against Myc in the future.

Indexed as

NeoplasmsProto-Oncogene Proteins c-mycAmino AcidsDimerizationDNAHumansProtein BindingProteinsAmino AcidsDNAProteinsProto-Oncogene Proteins c-mycMaxMM/GBSAMolecular dynamics simulationMycOmomyc

Identifiers

PMID36149511
OpenAlexW4296810290

What OpenQuestion holds

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Read underepoch 390

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.