CMB_2024v14n1

Computational Molecular Biology 2024, Vol.14, No.1, 9-19 http://bioscipublisher.com/index.php/cmb 18 Jing Y., Bian Y., Hu Z., Wang L., and Xie XQS., 2018, Deep learning for drug design: an artificial intelligence paradigm for drug discovery in the big data era, The AAPS journal , 20: 1-10. https://doi.org/10.1208/s12248-018-0243-4 Lee J.W., Maria-Solano M.A., Vu T.N.L., Yoon S., and Choi S., 2022, Big data and artificial intelligence (AI) methodologies for computer-aided drug design (CADD), Biochemical Society Transactions, 50(1): 241-252. https://doi.org/10.1042/BST20211240 Li S.X., Li Y.H., Lin Z., Zhang D., Qu Z., Li Y.C., Huo G.T., Lv J.J., 2023, Research Progress on the Application of Artificial Intelligence in Drug Discovery Process, Modern Medicine and Clinical Practice, 46(9):2030-2036. London A.J., 2019, Artificial intelligence and black‐box medical decisions: accuracy versus explainability. Hastings Center Report, 49(1): 15-21. https://doi.org/10.1002/hast.973 Mak K.K., and Pichika , M.R., 2019. Artificial intelligence in drug development: present status and future prospects, Drug discovery today, 24(3): 773-780. https://doi.org/10.1016/j.drudis.2018.11.014 Moingeon P., Kuenemann M., and Guedj M., 2022, Artificial intelligence-enhanced drug design and development: Toward a computational precision medicine, Drug discovery today, 27(1): 215-222. https://doi.org/10.1016/j.drudis.2021.09.006 Muller C., Rabal O., and Diaz Gonzalez C., 2022, Artificial intelligence, machine learning, and deep learning in real-life drug design cases, Artificial intelligence in drug design, 2390:383-407. https://doi.org/10.1007/978-1-0716-1787-8_16 Murdoch B., 2021, Privacy and artificial intelligence: challenges for protecting health information in a new era, BMC Medical Ethics, 22: 1-5. https://doi.org/10.1186/s12910-021-00687-3 Noorbakhsh-Sabet N., Zand R., Zhang Y., and Abedi V., 2019, Artificial intelligence transforms the future of health care, The American journal of medicine, 132(7): 795-801. https://doi.org/10.1016/j.amjmed.2019.01.017 Paul D., Sanap G., Shenoy S., Kalyane D., Kalia K., and Tekade R.K., 2021, Artificial intelligence in drug discovery and development, Drug discovery today, 26(1): 80-93. https://doi.org/10.1016/j.drudis.2020.10.010 Peña‐Guerrero J., Nguewa P.A., and García ‐Sosa A.T., 2021, Machine learning, artificial intelligence, and data science breaking into drug design and neglected diseases, Wiley Interdisciplinary Reviews: Computational Molecular Science, 11(5): e1513. https://doi.org/10.1002/wcms.1513 Pesapane F., Volonté C., Codari M., and Sardanelli F., 2018, Artificial intelligence as a medical device in radiology: ethical and regulatory issues in Europe and the United States, Insights into imaging, 9: 745-753. https://doi.org/10.1007/s13244-018-0645-y Schneider P., Walters W.P., Plowright A.T., Sieroka N., Listgarten J., Goodnow Jr R.A., and Schneider G., 2020, Rethinking drug design in the artificial intelligence era, Nature Reviews Drug Discovery, 19(5): 353-364. https://doi.org/10.1038/s41573-019-0050-3 Selvaraj C., Chandra I., and Singh S.K., 2022, Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries, Molecular diversity, 26: 1893-1913. https://doi.org/10.1007/s11030-021-10326-z Singh S., Kumar R., Payra S., and Singh S.K., 2023, Artificial Intelligence and Machine Learning in Pharmacological Research: Bridging the Gap Between Data and Drug Discovery, Cureus, 15(8): e44359. https://doi.org/10.7759/cureus.44359 Srivastava V., Parveen B., and Parveen R., 2023, Artificial Intelligence in Drug Formulation and Development: Applications and Future Prospects, Current Drug Metabolism, 24(9): 622-634. https://doi.org/10.2174/0113892002265786230921062205 Staszak M., Staszak K., Wieszczycka K., Bajek A., Roszkowski K., and Tylkowski B. 2022, Machine learning in drug design: Use of artificial intelligence to explore the chemical structure- biological activity relationship, Wiley Interdisciplinary Reviews: Computational Molecular Science, 12(2): e1568. https://doi.org/10.1002/wcms.1568 Thomas S., Abraham A., Baldwin J., Piplani S., Petrovsky N., 2022, Artificial Intelligence in Vaccine and Drug Design, Methods Mol Biol, 2410:131-146. https://doi.org/10.1007/978-1-0716-1884-4_6 Tripathi N., Goshisht M.K., Sahu S.K., and Arora C., 2021, Applications of artificial intelligence to drug design and discovery in the big data era: a comprehensive review, Molecular Diversity, 25(3): 1643 -1664. https://doi.org/10.1007/s11030-021-10237-z Wang L.L., Ding J.J., Pan L., Cao D.S., Jiang H., Ding X.Q., Artificial intelligence facilitates drug design in the big data era, Chemometrics and Intelligent Laboratory Systems, Volume 194, 2019, 103850, ISSN 0169-7439. https://doi.org/10.1016/j.chemolab.2019.103850 Zhang Q.M., Gong M.C., Chen Z.K., Chen Z.H., Zhou L.L., 2024, Research Progress of Artificial Intelligence and Molecular Simulation in Drug Design, Herald of Medicine, 43(1): 78-84.

RkJQdWJsaXNoZXIy MjQ4ODYzNA==