Evidence map›Paper›PMID 37389721›Full record

ArticleInterdisciplinary sciences, computational life sciences2023

Exploring the Binding Mechanism of NRG1-ERBB3 Complex and Discovery of Potent Natural Products to Reduce Diabetes-Assisted Breast Cancer Progression.

Sulaiman K Marafie, Eman Alshawaf, Mohamed Abu-Farha, Thangavel Alphonse Thanaraj, Dong-Qing Wei, Fahd Al-Mulla, Abbas Khan, Jehad Abubaker, Anwar Mohammad

Open access · hybridAbstract read
In one paragraph

Article in Interdisciplinary sciences, computational life sciences, 2023. 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 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 2 citations in OpenAlex.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

9 authors at 2 institutions in 2 countries.

Sulaiman K Marafie *Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait.
Eman Alshawaf *Department of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait.
Mohamed Abu-FarhaDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait.
Thangavel Alphonse ThanarajDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Dong-Qing WeiDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Fahd Al-MullaDepartment of Genetics and Bioinformatics, Dasman Diabetes Institute, Kuwait City, Kuwait.
Abbas KhanDepartment of Bioinformatics and Biological Statistics, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai, 200240, People's Republic of China.
Jehad AbubakerDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait. jehad.abubakr@dasmaninstitute.org.
Anwar MohammadDepartment of Biochemistry and Molecular Biology, Dasman Diabetes Institute, Kuwait City, Kuwait. anwar.mohammad@dasmaninstitute.org.
Dasman Diabetes Institute · KWShanghai Jiao Tong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diabetes mellitus significantly contributes to breast cancer progression, where hyperglycemia upregulates specific genes, leading to more aggressive tumor growth. In patients with BC that develop diabetes, neuregulin 1 (NRG1) and epidermal growth factor receptor 3 (ERBB3) overexpression exacerbate tumor growth and progression. Since the interaction between NRG1 and ERBB3 is critical for tumor growth, understanding the molecular mechanisms underlying NRG1-ERBB3 complex formation is essential for elucidating diabetes-assisted breast cancer progression. However, the key residues forming the NRG1-ERBB3 complex remain unknown. Here, we substituted specific residues in NRG1 with alanine and studied its interactions with ERBB3 using computational structural biology tools. We further screened the South African natural compounds database to target the complex's interface residues to discover potential inhibitors. The conformational stability and dynamic features of NRG1-WT, -H2A, -L3A, and -K35A complexed with ERBB3 were subjected to 400 ns molecular dynamics simulations. The free binding energies of all NRG1-ERBB3 complexes were calculated using the molecular mechanics-generalized Born surface area (MM/GBSA). The H2 and L3 alanine substitutions caused a loss of interaction with ERBB3 residue D73, weakening the interaction with ERBB3. Screening 1300 natural compounds identified four (SANC00643, SANC00824, SANC00975, and SANC00335) with the best potential to inhibit ERRB3-NRG1 coupling. The binding free energies for each complex were - 48.55 kcal/mol for SANC00643, - 47.68 kcal/mol for SANC00824, - 46.04 kcal/mol for SANC00975, and - 45.29 kcal/mol for SANC00335, showing their overall stronger binding with ERBB3 than NRG1 and their potential to act as ERBB3-NRG1 complex inhibitors. In conclusion, this complex may represent a residue-specific drug target to inhibit BC progression.

Indexed as

Breast NeoplasmsDiabetes MellitusFemaleHumansNeuregulin-1Receptor, ErbB-3ERBB3 protein, humanNeuregulin-1NRG1 protein, humanReceptor, ErbB-3Breast cancerDiabetes mellitusERBB3MM/GBSAMolecular dynamic simulationsNRG1

Identifiers

PMID37389721
PMCPMC10374477
OpenAlexW4382631853

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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.