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한빛사논문
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Mol. Asp. Med. , Nov 03 2023, 94 S0098-2997(23)00062-6 | https://doi.org/10.1016/j.mam.2023.101222
Computational methods in glaucoma research: Current status and future outlook
Minjae J. Kim a, Cole A. Martin a, Jinhwa Kim b, Monica M. Jablonski a
aDepartment of Ophthalmology, The Hamilton Eye Institute, The University of Tennessee Health Science Center, Memphis, TN, 38163, USA
bGraduate School of Artificial Intelligence, Graduate School of Metaverse, Department of Management Information Systems, Sogang University, 1 Shinsoo-Dong, Mapo-Gu, Seoul, South Korea
Corresponding author : Monica M. Jablonski
Abstract
Advancements in computational techniques have transformed glaucoma research, providing a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets. Systems genetics integrates genomic and clinical data, aiding in identifying drug targets, comprehending disease mechanisms, and personalizing treatment strategies for glaucoma. Molecular dynamics simulations offer valuable molecular-level insights into glaucoma-related biomolecule behavior and drug interactions, guiding experimental studies and drug discovery efforts. Artificial intelligence (AI) technologies hold promise in revolutionizing glaucoma research, enhancing disease diagnosis, target identification, and drug candidate selection. The generalized protocols for systems genetics, MD simulations, and AI model development are included as a guide for glaucoma researchers. These computational methods, however, are not separate and work harmoniously together to discover novel ways to combat glaucoma. Ongoing research and progresses in genomics technologies, MD simulations, and AI methodologies project computational methods to become an integral part of glaucoma research in the future.
논문정보
- Review Paper
- 2023년 11월 (BRIC 등록일 2023-11-27)
- 국내+국외 연구진
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