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ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013
Call For Paper - Volume 13 | Issue 12 | Month- December 2025
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Published Paper Details:
Paper Title
Review On ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AND DEVELOPMENT
Authors
Aniket Kadu, Pratiksha Nemane, Akash Kathale, Amol Supekar
Keywords
Pharmacy, Artificial intelligence, Drugs discovery
Abstract
Artificial intelligence (AI) focuses on creating intelligent modeling that helps process information, solve problems and make decisions. Artificial intelligence has recently played an important role in several fields of pharmaceuticals such as drug discovery, drug development, polypharmacology, hospital pharmacy, etc. When deep neural networks (DNN) or recurrent neural networks (RNN) are used. Currently, several drug development applications have been analyzed and supported technological performance in quantitative structure-property relationship (QSPR) or Quantitative structure-activity relationship (QSAR). In addition, de novo design significantly contributes to the invention of newer drug molecules with desired/optimal properties. This review article discusses the use of artificial intelligence in pharmacy, particularly in drug discovery, drug product development, polypharmacology and hospital pharmacy.
IJCRT's Publication Details
Unique Identification Number - IJCRT2411017
Paper ID - 271390
Page Number(s) - a117-a128
Pubished in - Volume 12 | Issue 11 | November 2024
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Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882
E-ISSN Number - 2320-2882
Cite this article
Aniket Kadu, Pratiksha Nemane, Akash Kathale, Amol Supekar, "Review On ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AND DEVELOPMENT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 11, pp.a117-a128, November 2024, Available at :http://www.ijcrt.org/papers/IJCRT2411017.pdf
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Volume 13 | Issue 12
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Last Date :
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Submit Manuscript Online Impact Factor: 7.97 Review Results : Within 02-03 Days Paper Publication : Within 02-03 Days
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ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
ISSN and 7.97 Impact Factor Details
ISSN: 2320-2882 Impact Factor: 7.97 and ISSN APPROVED Journal Starting Year (ESTD) : 2013
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