Artificial Intelligence and Molecular Docking Focus on Selected Methods

Authors

Ibrahim Ahmed Hassan Alshuwaysh Alhafayer PHC , Saudi Arabia.
Jawad Ali Abdullah Alhajji Alhafayer PHC , Saudi Arabia.
Salwa Ali Abdullah Alrizq Al-Shoqiq PHC, Saudi Arabia.
Aqeel Mohammed Nasir Alsalman Hazm PHC, Saudi Arabia.
Naif Saleh Jassim Alatiah Al-Qurain PHC, Saudi Arabia.
Ahmed Taher Ali Alaithan Al-Mudayri Building , Saudi Arabia.
Fatemah Mohammed Altolahiy Prince Sultan Cardiac Center (PSCC) , Saudi Arabia.
Amin Habib Saleh Albarrak Jalijla Health Care Center, Saudi Arabia.
Ali Saleh Tahir Alsaleh Alrashdia PHC, Saudi Arabia.

Abstract

Artificial intelligence (AI) has emerged as a powerful tool in drug discovery and development, revolutionizing the field of molecular docking. This review provides an overview of current approaches in molecular docking using AI techniques, including machine learning and deep learning algorithms. We discuss the application of AI in virtual screening, ligand-receptor binding prediction, and drug optimization, highlighting recent advancements, challenges, and future directions.

Keywords: Artificial intelligence, molecular docking, virtual screening, drug discovery, machine learning, deep learning.

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Published

2022-12-04

How to Cite

Ibrahim Ahmed Hassan Alshuwaysh, Jawad Ali Abdullah Alhajji, Salwa Ali Abdullah Alrizq, Aqeel Mohammed Nasir Alsalman, Naif Saleh Jassim Alatiah, Ahmed Taher Ali Alaithan, Fatemah Mohammed Altolahiy, Amin Habib Saleh Albarrak, & Ali Saleh Tahir Alsaleh. (2022). Artificial Intelligence and Molecular Docking Focus on Selected Methods. International Journal of Scientific Research and Innovative Studies, 1(3), 69–73. Retrieved from https://ijsrisjournal.com/index.php/ojsfiles/article/view/112