Evidence map›Paper›PMID 29558421›Full record

ArticleInternational journal of molecular sciences2018

Site-Mutation of Hydrophobic Core Residues Synchronically Poise Super Interleukin 2 for Signaling: Identifying Distant Structural Effects through Affordable Computations.

Longcan Mei, Yanping Zhou, Lizhe Zhu, Changlin Liu, Zhuo Wu, Fangkui Wang, Gefei Hao, Di Yu, Hong Yuan, Yanfang Cui

Abstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Role of Non-Binding T63 Alteration in IL-18 Binding.International journal of molecular sciences · 2024
    Article
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

10 authors.

Longcan MeiKey Laboratory of Pesticide and Chemical Biology, Ministry of Education, Central China Normal University, Wuhan 430079, China. mlc2015@mails.ccnu.edu.cn.
Yanping ZhouKey Laboratory of Pesticide and Chemical Biology, Ministry of Education, Central China Normal University, Wuhan 430079, China. hgzyp@mail.ccnu.edu.cn.
Lizhe ZhuDepartment of Chemistry, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong 999077, China. lizhezhu11@gmail.com.ORCID 0000-0001-8252-7807
Changlin LiuKey Laboratory of Pesticide and Chemical Biology, Ministry of Education, Central China Normal University, Wuhan 430079, China. liuchl@mail.ccnu.edu.cn.
Zhuo WuKey Laboratory of Pesticide and Chemical Biology, Ministry of Education, Central China Normal University, Wuhan 430079, China. wuzhuo@mails.ccnu.edu.cn.
Fangkui WangState Key Lab of Agricultural Microbiology, Huazhong Agricultural University, Wuhan 430070, China. wangfangkui@foxmail.com.
Gefei HaoKey Laboratory of Pesticide and Chemical Biology, Ministry of Education, Central China Normal University, Wuhan 430079, China. gfhao@mail.ccnu.edu.cn.
Di YuDepartment of Immunology and Infectious Disease, John Curtin School of Medical Research, The Australian National University, Acton 2601, Australia. di.yu@anu.edu.au.
Hong YuanKey Laboratory of Pesticide and Chemical Biology, Ministry of Education, Central China Normal University, Wuhan 430079, China. yuanhong@mail.ccnu.edu.cn.
Yanfang CuiKey Laboratory of Pesticide and Chemical Biology, Ministry of Education, Central China Normal University, Wuhan 430079, China. yfcui@mail.ccnu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A superkine variant of interleukin-2 with six site mutations away from the binding interface developed from the yeast display technique has been previously characterized as undergoing a distal structure alteration which is responsible for its super-potency and provides an elegant case study with which to get insight about how to utilize allosteric effect to achieve desirable protein functions. By examining the dynamic network and the allosteric pathways related to those mutated residues using various computational approaches, we found that nanosecond time scale all-atom molecular dynamics simulations can identify the dynamic network as efficient as an ensemble algorithm. The differentiated pathways for the six core residues form a dynamic network that outlines the area of structure alteration. The results offer potentials of using affordable computing power to predict allosteric structure of mutants in knowledge-based mutagenesis.

Indexed as

Molecular Dynamics SimulationMutationAllosteric RegulationAnimalsBinding SitesHumansHydrophobic and Hydrophilic InteractionsInterleukin-2Signal TransductionInterleukin-2cross-correlationdynamic networkdynamic network pathwaysensemble allosteric model

Identifiers

PMID29558421
PMCPMC5877777

What OpenQuestion holds

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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.