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Editorial
. 2024;13(1-3):1-5.
doi: 10.1080/20468954.2024.2347798. Epub 2024 May 21.

Catalyzing innovation in cancer drug discovery through artificial intelligence, machine learning and patency

Melody Okereke  1 , Samson Ayorinde Oni  1 , Zainab Ashimiyu-Abdusalam  2 , Owolade Adedoyin John-Joy  3 , Charles Diovu  4 , Adeniyi Ayinde Abdulwahab  5 , Adebayo Israel Jesutimilehin  6 , Nwosu Ebube Clinton  7 , Ibeh John Somtochukwu  6 , Omojuyigbe Jeremiah Oluwamayowa  3 , Kawthar Olatunde Olaitan  1 , Damilola Bodun Samuel  8
Affiliations
Editorial

Catalyzing innovation in cancer drug discovery through artificial intelligence, machine learning and patency

Melody Okereke et al. Pharm Pat Anal. 2024.
No abstract available

Keywords: active learning; artificial intelligence; cancer drug discovery; deep learning; drug targets; insilico methods; machine learning; patents; quantitative structure activity relationship; virtual screening.

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Conflict of interest statement

The authors have no competing interests or relevant affiliations with any organization or entity with the subject matter or materials discussed in the manuscript. This includes employment, consultancies, honoraria, stock ownership or options, expert testimony, grants or patents received or pending, or royalties.

References

    1. World Health Organization . Cancer. 2022. https://www.who.int/news-room/fact-sheets/detail/cancer

    2. •• Provides foundational global cancer statistics.

    1. Wang L, Song Y, Wang H, et al. . Advances of artificial intelligence in anti-cancer drug design: a review of the past decade. Pharmaceuticals (Basel, Switzerland). 2023;16(2):253. doi:10.3390/ph16020253 - DOI - PMC - PubMed

    2. •• Offers a comprehensive decade-long review of AI in anti-cancer drug design.

    1. Gupta R, Srivastava D, Sahu M, Tiwari S, Ambasta RK, Kumar P. Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Mol Divers. 2021;25(3):1315–1360. doi:10.1007/s11030-021-10217-3 - DOI - PMC - PubMed

    2. •• Relates the transition of AI to deep learning.

    1. Okereke M, David KB, Adedeji OJ. Computational approaches to targeting protein–protein interactions in cancer: a pathway to drug discovery. Future Drug Discovery. 2023;(0):FDD80. doi:10.4155/fdd-2023-0003 - DOI

    2. •• Explores computational approaches useful in cancer drug discovery.

    1. Liang G, Fan W, Luo H, Zhu X. The emerging roles of artificial intelligence in cancer drug development and precision therapy. Biomed Pharmacother. 2020;128:110255. doi:10.1016/j.biopha.2020.110255 - DOI - PubMed

    2. •• Highlights the role of AI in cancer drug discovery.

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