Artificial Intelligence in Drug Discovery and Drug Design
Jagruti Narkhede · International Journal of Pharmaceutical Research and Applications · 2024
Overthepasttenyears,artificialintelligencehasrevolut ionisedthefieldofdrugresearch. The process for discovering new drugs could be completelytransformed by artificial intelligence, which could provide increased speed, accuracy, and efficiency. The process for discovering new drugs could be completely transformed by artificial intelligence, which could provide increased speed, accuracy, and efficiency. Numerous uses of artificial intelligence, including virtual screening and drug design, have been employed in drug development. AI methods are brokendown into learning paradigms and modelarchitectures. The surveyed publications are arranged chronologicallyto illustratethe evolution ofAI indrug discoveryover time in terms of technical advancement. We anticipate that this survey offers an in-depth examination of artificial intelligence in drug discovery. This development is being motivated, among other things, by the increasing use of machine learning, and specifically deep learning, in many scientific domains and by advancements in computer hardware and software. Medicinal chemistry has benefited from the beginning scepticism that has begun to fade over the use of AI in pharmaceutical development. A number of methodological advancements, including hybrid de novo design, message-passing models, spatial symmetry-preserving networks, and other cutting-edge machine learning paradigms, are probably going to become standard practicesandaidinansweringsomeofthetrickiestprobl ems.Thecreationofmodelsandopen data sharing will be essential to the advancement of drug discovery using AI. There is a growingpotentialforthediscoveryofseveralnovelmed icationsasaresultoftheadvancement of artificial intelligence in the pharmaceutical sector. Human illness rates are rising dramatically, but there areveryfew medications available totreatorcurethem. However, the pharmaceuticalindustry'sandartificialintelligence'sc ombinedeffortswillpreventthissortof situation in the future by accelerating the discovery of medications with better clinical outcomes. AI-based drug development techniques are being used by several pharmaceutical companies to treat a variety of illnesses, including diabetes, Parkinson's disease, Alzheimer's disease, OCD, and more Technology may significantlyassist in resolving a number of issues and limitations with the conventional drug development process.