Evidence map›Paper›PMID 37344519›Full record

ArticleScientific reports2023

In silico mutagenesis-based designing of oncogenic SHP2 peptide to inhibit cancer progression.

Muhammad Shahab, Shahin Shah Khan, Maryam Zulfat, Yousef A Bin Jardan, Amare Bitew Mekonnen, Mohammed Bourhia, Guojun Zheng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 20 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

7 authors at 5 institutions in 5 countries.

Muhammad ShahabState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China.
Shahin Shah KhanCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
Maryam ZulfatDepartment of Chemistry, Computational Medicinal Chemistry Laboratory, UCSS, Abdul Wali Khan University, Mardan, Pakistan.
Yousef A Bin JardanDepartment of Pharmaceutics, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.
Amare Bitew MekonnenDepartment of Biology, Bahir Dar University, P.O. Box 79, Bahir Dar, Ethiopia. amarebitew8@gmail.com.
Mohammed BourhiaHigher Institute of Nursing Professions and Technical Health, 70000, Laayoune, Morocco.
Guojun ZhengState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, 100029, China. zhenggj@mail.buct.edu.cn.
Beijing University of Chemical Technology · CNAbdul Wali Khan University Mardan · PKBahir Dar University · ETInstituts Supérieurs des Professions Infirmières et Techniques de Santé · MAKing Saud University · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer is among the top causes of death, accounting for an estimated 9.6 million deaths in 2018, it appeared that approximately 500,000 people die from cancer in the United States alone annually. The SHP2 plays a major role in regulation of cell growth, proliferation, and differentiation, and functional upregulation of this enzyme is linked to oncogenesis and developmental disorders. SHP2 activity has been linked to several cancer types for which no drugs are currently available. In our study, we aimed to design peptide inhibitors against the SHP2 mutant. The crystal structure of the human Src SH2-PQpYEEIPI peptide mutant was downloaded from the protein databank. We generated several peptides from the native wild peptide using an in silico mutagenesis method, which showed that changes (P302W, Y304F, E306Q, and Q303A) might boost the peptide's affinity for binding to SHP2. Furthermore, the dynamical stability and binding affinities of the mutated peptide were confirmed using Molecular dynamics simulation and Molecular Mechanics with Generalized Born and Surface Area Solvation free energy calculations. The proposed substitution greatly enhanced the binding affinity at the residue level, according to a study that decomposed energy into its component residues. Our proposed peptide may prevent the spread of cancer by inhibiting SHP2, according to our detailed analyses of binding affinities.

Indexed as

NeoplasmsProtein Tyrosine Phosphatase, Non-Receptor Type 11HumansMolecular Dynamics SimulationMutagenesisPeptidesPeptidesProtein Tyrosine Phosphatase, Non-Receptor Type 11

Identifiers

PMID37344519
PMCPMC10284847
OpenAlexW4381597886

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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.