Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training DOI Creative Commons
Nikhil Gupta, Kavin Khatri,

Yogender Malik

et al.

BMC Medical Education, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 28, 2024

Language: Английский

Generative AI Techniques and Models DOI
Rajan T. Gupta, Sanju Tiwari, Poonam Chaudhary

et al.

Lecture notes on data engineering and communications technologies, Journal Year: 2025, Volume and Issue: unknown, P. 45 - 64

Published: Jan. 1, 2025

Citations

1
A Survey on Computational Methods in Drug Discovery for Neurodegenerative Diseases DOI Creative Commons

Caterina Vicidomini,

Francesco Fontanella, Tiziana D’Alessandro

et al.

Biomolecules, Journal Year: 2024, Volume and Issue: 14(10), P. 1330 - 1330

Published: Oct. 19, 2024

Currently, the age structure of world population is changing due to declining birth rates and increasing life expectancy. As a result, physicians worldwide have treat an number age-related diseases, which neurological disorders represent significant part. In this context, there urgent need discover new therapeutic approaches counteract effects neurodegeneration on human health, computational science can be pivotal importance for more effective neurodrug discovery. The knowledge molecular receptors other biomolecules involved in pathogenesis facilitates design molecules as potential drugs used fight against diseases high social relevance such dementia, Alzheimer's disease (AD) Parkinson's (PD), cite only few. However, absence comprehensive guidelines regarding strengths weaknesses alternative creates fragmented disconnected field, resulting missed opportunities enhance performance achieve successful applications. This review aims summarize some most innovative strategies based methods development. particular, recent applications state-of-the-art docking artificial intelligence ligand- target-based novel drug were reviewed, highlighting crucial role silico context discovery neurodegenerative diseases.

Language: Английский

Citations

8
Hemicyanine-based fluorescent probes: Advancements in biomedical sensing and activity-based detection DOI
Saleh Muhammad,

Haroon Ahmad,

Yuqian Yan

et al.

Coordination Chemistry Reviews, Journal Year: 2025, Volume and Issue: 534, P. 216602 - 216602

Published: March 14, 2025

Language: Английский

Citations

0
Integrating QSAR modelling with reinforcement learning for Syk inhibitor discovery DOI Creative Commons
Margarita Zavadskaya,

A. S. Orlova,

Andrei Dmitrenko

et al.

Journal of Cheminformatics, Journal Year: 2025, Volume and Issue: 17(1)

Published: April 15, 2025

Spleen tyrosine kinase (Syk) is a crucial mediator of inflammatory processes and promising therapeutic target for the management autoimmune disorders, such as immune thrombocytopenia. While several Syk inhibitors are known to date, their efficacy safety profiles remain suboptimal, necessitating exploration novel compounds. The study introduces deep reinforcement learning strategy drug discovery, specifically designed identify new inhibitors. approach integrates quantitative structure-activity relationship (QSAR) predictions with generative modelling, employing stacking-ensemble model that achieves correlation coefficient 0.78. From over 78,000 molecules generated by this methodology, we identified 139 candidates high predicted potency, binding affinity optimal drug-likeness properties, demonstrating structural novelty while maintaining essential inhibitor characteristics. Our establishes versatile framework accelerated which particularly valuable development rare disease therapeutics.Scientific contributionThe presents first application QSAR-guided yielding structurally potency. presented methodology can be adapted other targets, potentially accelerating process.

Language: Английский

Citations

0
Modern machine learning methods for protein property prediction DOI

Arjun Dosajh,

P. K. Agrawal,

Prathit Chatterjee

et al.

Current Opinion in Structural Biology, Journal Year: 2025, Volume and Issue: 90, P. 102990 - 102990

Published: Jan. 28, 2025

Language: Английский

Citations

0
Animal-skin-pattern-inspired multifunctional composites by generative AI DOI Creative Commons

Milad Masrouri,

Akshay C. Jadhav, Zhao Qin

et al.

Cell Reports Physical Science, Journal Year: 2025, Volume and Issue: unknown, P. 102428 - 102428

Published: Feb. 1, 2025

Language: Английский

Citations

0
Exploring prospects, hurdles, and road ahead for generative artificial intelligence in orthopedic education and training DOI Creative Commons
Nikhil Gupta, Kavin Khatri,

Yogender Malik

et al.

BMC Medical Education, Journal Year: 2024, Volume and Issue: 24(1)

Published: Dec. 28, 2024

Language: Английский

Citations

3