Evidence map›Paper›PMID 40133520›Full record

ArticleScientific reports2025

Multi-scale computational analysis of Melanin's therapeutic potential in skin cancer.

Shilpa Valiyaparambil, Janakiraman Kunchithapatham, Muddukrishnaiah Kotakonda, Kamal Yoonus Thajudeen, Saad Ali Alshehri, Mohammed Muqtader Ahmed

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shilpa ValiyaparambilDepartment of Pharmacy, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, 608002, India. shilpavp24@gmail.com.
Janakiraman KunchithapathamDepartment of Pharmacy, Annamalai University, Annamalai Nagar, Chidambaram, Tamil Nadu, 608002, India.
Muddukrishnaiah KotakondaDepartment of Pharmaceutics, Jamia Salfiya Pharmacy College of Pharmacy, Pulikkal, Malappuram, Kerala, 673637, India.
Kamal Yoonus ThajudeenDepartment of Pharmacognosy, College of Pharmacy, King Khalid University, 61441, Abha, Saudi Arabia.
Saad Ali AlshehriDepartment of Pharmacognosy, College of Pharmacy, King Khalid University, 61441, Abha, Saudi Arabia.
Mohammed Muqtader AhmedDepartment of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdul Aziz University, 11942, Al Kharj, Saudi Arabia.

Funding

Deanship of Scientific Research at King Khalid University, Saudi Arabia, through the Large Program RGP2/580/45
6 · The paper itself

Abstract

Melanin is a complex biological pigment found in various living organisms. The primary function of melanin is to absorb and dissipate ultraviolet (UV) radiation, protecting against the harmful effects of sunlight. To Present a computational study of the electronic structures of melanin and its binding propensities with skin cancer-related proteins (1P7K, 2VCJ, and 5OTE). We used molecular docking, binding free energy analysis, MD simulations, and DFT to explore. Melanin's optimized geometry, quantum descriptors, and molecular electrostatic potential were analyzed, revealing its reactivity and electronic properties. Molecular docking studies with 5FU and Ligand-L1 showcased Melanin's promising binding affinity with the target proteins. MD simulations provided dynamic insights, with Melanin demonstrating superior stability compared with 5FU, as indicated by lower RMSD values and consistent RMSF profiles. Hydrogen bond analysis supported favourable interactions in the Melanin-protein complexes. The SASA analysis aligned with Rg, suggesting a tighter binding conformation for Melanin. The stronger binding affinity of melanin was quantitatively confirmed through MM-GBSA calculations, underscoring its potential as a promising candidate for skin cancer treatment. Melanin's interactions with skin cancer proteins are comprehensively understood because of an integrated technique that combines quantum descriptors, docking, and dynamic simulations. It opens up new avenues for research and for the development of therapeutics.

Indexed as

MelaninsSkin NeoplasmsFluorouracilHumansHydrogen BondingMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingFluorouracilMelaninsDFTMelaninMolecular dockingMolecular simulationSkin cancer

Identifiers

PMID40133520
PMCPMC11937549

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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.