Computational simulations of microalgae-derived bioactive compounds as a novel inhibitor against B-Raf V600E driven melanoma
Open accessAbstract
Melanoma is one of the most aggressive types of cancer, which has shown a tremendous surge in the last 50 years.Therapy for advanced-type melanoma is still a challenge because of the low response rate and 10-year survival.Therefore, drug discovery efforts need to be made to fight this cancer.To date, the development of big data and 3D has made it easier for researchers to understand the structure of proteins or enzymes that play an important role as receptors in melanoma cancer to be used as specific targets for diagnosis and therapy, for instance, the B-Raf V600E.This study examined the potential of active compounds from microalgae for developing melanoma anticancer drugs.The database was constructed using data mining from MarinLit and the related publications from 1970 to 2020.In silico methods such as molecular docking, virtual screening, and molecular dynamic simulations were used to find the most potential candidates.A total of 25 compounds passed the virtual screening stage.The top three compounds based on the binding free energy compared to a natural ligand and commercial drug are cholesta-5,7-dien-3beta-ol, 24-oxocholesterol acetate, lathosterol, and two additional compounds, phycocyanin and phycocyanobilin, were also selected due to their massive production from the most commonly cultured microalgae worldwide, Arthrospira sp.(previously known as Spirulina sp.).Furthermore, ADME analysis and toxicity tests were also carried out.Molecular dynamics simulation showed that phycocyanin was the best potential candidate for melanoma anticancer drugs, with free binding energies ranging from -65 to -80 kcal/mol.This result was also supported by root mean square deviation, root mean square fluctuation, and distance parameter data.This study may accelerate molecular research in producing therapeutic compounds for melanoma cancer, thus allowing it to continue developing pharmaceutical products that benefit human health.
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ADME analysis of bioactive microalgal compounds with pharmacological potential has been conducted through computational approaches.
“In addition, ADME analysis of bioactive microalgal compounds with pharmacological potential has been conducted through computational approaches (Prasetiya et al., 2023).”
From Microalgae biotechnology and its role in sustainable and healthy food design (2025) · cites this paper as Prasetiya et al., 2023
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Microalgae biotechnology and its role in sustainable and healthy food design
Schneider, A. T., Machado, R. L. S., Dutra, D. A., Machado, E. F., Dias, R. R., Deprá, M. C., Zepka, L. Q., & Jacob-Lopes, E. (2025) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2025.1716473 · Cited by 15 · see citing works
- Authors
- Prasetiya, F. S., Destiarani, W., Prihastaningtyas, I. R. C., Agung, M. U. K., & Yusuf, M.
- Affiliations
- National Research and Innovation Agency (ID)
- Padjadjaran University (ID)
- Venue
- Journal of Applied Pharmaceutical Science
- Publisher
- SAGE Publications
- Published
- 2023-06
- Volume
- 13
- Issue
- 6
- Pages
- 068-086
- ISSN
- 2231-3354 (ISSN-L)
- OpenAlex
- W4315650956
- Cited by
- 3
- References
- 80
- Citations by year
- 2025: 2 · 2023: 1
- FWCI
- 0.43
- Type
- journal article
- Language
- en
- Open access
- diamond
- doi.org
- Locations
- Journal of Applied Pharmaceutical Science (publishedVersion, cc-by)
- Funders
- Universitas Padjadjaran (/UN6.3.1/PT.00/)
- Direktorat Riset dan Pengabdian Masyarakat
- Topics
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Agricultural and Biological Sciences › Aquatic Science › Seaweed-derived Bioactive Compounds
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioactive natural compounds
- Keywords
- melanoma, BrafV600E, phycocyanin, phycocyanobilin, Arthrospira, anticancer drug discovery, molecular docking, molecular dynamics simulation, ADME analysis, lathosterol, virtual screening
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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