Evidence map›Paper›PMID 41969613›Full record

ArticleHuman mutation2026

Engineering of the Melanoma Inhibitor of Apoptosis (ML-IAP) Anticancer Peptide Through Comprehensive In Silico Approaches.

Haitham Ahmed Al-Madhagi, Muhammad Shahab, Zheng Guojun, Gamil Al-Madhagy, Mohammed Bourhia, Gamal A Shazly, Musaab Dauelbait, Zunnan Huang

Abstract read
In one paragraph

Article in Human mutation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Haitham Ahmed Al-MadhagiBiochemical Technology Program, Thamar University, Dhamar, Yemen, thuniv.net.ORCID https://orcid.org/0000-0002-3850-244X
Muhammad ShahabDongguan Key Laboratory of Computer-Aided Drug Design, Guangdong Provincial Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong, China, gdmu.edu.cn.ORCID https://orcid.org/0000-0002-4437-0711
Zheng GuojunState Key Laboratories of Chemical Resources Engineering, Beijing University of Chemical Technology, Beijing, China, buct.edu.cn.
Gamil Al-MadhagyDepartment of Oral and Maxillofacial Surgery, University of Damascus, Damascus, Syria, damascusuniversity.edu.sy.
Mohammed BourhiaLaboratory of Biology, Polydisciplinary Faculty of Safi-Cadi Ayyad University, Safi, Morocco, uiz.ac.ma.ORCID https://orcid.org/0000-0003-3707-8461
Gamal A ShazlyDepartment of Pharmaceutics, King Saud University, Riyadh, Saudi Arabia, ksu.edu.sa.ORCID https://orcid.org/0000-0002-1291-2088
Musaab DauelbaitDepartment of Scientific Translation, University of Bahri, Khartoum, Sudan, bahri.edu.sd.ORCID https://orcid.org/0009-0003-0685-8243
Zunnan HuangDongguan Key Laboratory of Computer-Aided Drug Design, Guangdong Provincial Key Laboratory for Research and Development of Natural Drugs, School of Pharmacy, Guangdong Medical University, Dongguan, Guangdong, China, gdmu.edu.cn.ORCID https://orcid.org/0000-0002-5821-703X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Melanoma represents the most malignant type of skin cancer. It is estimated that approximately 100,000 new cases of melanoma were diagnosed in 2022, resulting in over 7600 deaths in the United States alone. Recently, anticancer peptides (ACPs) have emerged as novel therapeutic agents for cancer, offering higher potency, biocompatibility, and fewer adverse reactions in host cells. One of the druggable targets of melanoma is the melanoma inhibitor of apoptosis (ML-IAP), conventionally inhibited by the nonapeptide AVPIAQKSE. The current study is aimed at enhancing both the binding affinity and safety profile of this peptide through in silico peptide engineering. Methods: Initially, the 3D structure of the protein was downloaded from the Protein Data Bank (PDB) (ID: 1OXQ) and prepared. The hotspot residues at the interface were detected using Discovery Studio Client 2021. Afterwards, saturation mutagenesis was conducted to discover the best potential amino acid substitutions with a positive impact on the binding affinity. The lead candidates were docked to the receptor via HPEPDOCK 2. Additionally, the safety profile was assessed using the ToxIBTL and AllerCatPro 2 servers. Finally, molecular dynamics simulations and principal component analysis were performed to check the stability of the best complexes. Results: HVPIAQKSE, WVPWAQKSE, and HVPWAQKSE were the best mutants that could be superior to the original peptide in terms of binding affinity as well as safety profile. MD results confirmed the stability, flexibility, reduced local motions, conformational changes, and more compact structure upon binding the receptor for 200 ns, which deserve in vitro validation as a better melanoma ACP therapeutic option. Conclusion: These variants displayed increased flexibility, reduced conformational alterations and local motions, and a more compact configuration, suggesting greater stability compared with the reference peptide.

Indexed as

Antineoplastic AgentsMelanomaPeptidesProtein EngineeringAmino Acid SequenceComputer SimulationHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein ConformationAntineoplastic AgentsPeptidesdockingMD simulationmelanomaPCAPPIsaturation mutagenesis

Identifiers

PMID41969613
PMCPMC13067063

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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.