Artificial intelligence in drug discovery and development

被引:483
|
作者
Paul, Debleena [1 ]
Sanap, Gaurav [1 ]
Shenoy, Snehal [1 ]
Kalyane, Dnyaneshwar [1 ]
Kalia, Kiran [1 ]
Tekade, Rakesh K. [1 ]
机构
[1] Govt India, Dept Pharmaceut, Minist Chem & Fertilizers,Inst Natl Importance, Natl Inst Pharmaceut Educ & ResearchAhmedabad NIP, Opp Air Force Stn, Gandhinagar 382355, Gujarat, India
关键词
NEURAL-NETWORKS; POSITIONING STRATEGIES; PREDICTION; PROTEIN; COMPUTER; DESIGN; POLYPHARMACOLOGY; IDENTIFICATION; RELEASE; SUCCESS;
D O I
10.1016/j.drudis.2020.10.010
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The use of artificial intelligence (AI) has been increasing in various sectors of society, particularly the pharmaceutical industry. In this review, we highlight the use of AI in diverse sectors of the pharmaceutical industry, including drug discovery and development, drug repurposing, improving pharmaceutical productivity, and clinical trials, among others; such use reduces the human workload as well as achieving targets in a short period of time. We also discuss crosstalk between Artificial Intelligence (AI) has recently started to gear-up its application in various sectors of the society with the pharmaceutical industry as a frontrunner beneficiary. This review highlights the impactful use of AI in diverse areas of the pharmaceutical sectors viz., drug discovery and development, drug repurposing, improving pharmaceutical productivity, clinical trials, etc. to name a few, thus reducing the human workload as well as achieving targets in a short period. Crosstalk on the tools and techniques utilized in enforcing AI, ongoing challenges, and ways to overcome them, along with the future of AI in the pharmaceutical industry, is also discussed.
引用
收藏
页码:80 / 93
页数:14
相关论文
共 50 条
  • [1] Artificial Intelligence in Accelerating Drug Discovery and Development
    Tripathi, Anushree
    Misra, Krishna
    Dhanuka, Richa
    Singh, Jyoti Prakash
    [J]. Recent Patents on Biotechnology, 2023, 17 (01) : 9 - 23
  • [2] Editorial: Artificial intelligence in drug discovery and development
    Wei, Leyi
    Zou, Quan
    Zeng, Xiangxiang
    [J]. METHODS, 2024, 226 : 133 - 137
  • [3] Drug discovery and development: the role of artificial intelligence in drug repurposing
    Aljofan, Mohamad
    Gaipov, Abduzhappar
    [J]. FUTURE MEDICINAL CHEMISTRY, 2024, 16 (07)
  • [4] The Potential Applications of Artificial Intelligence in Drug Discovery and Development
    Farghali, Hassan
    Kutinova Canova, Nikolina
    Arora, Mahak
    [J]. PHYSIOLOGICAL RESEARCH, 2021, 70 : S715 - S722
  • [5] Artificial intelligence and machine learning in drug discovery and development
    Patel, Veer
    Shah, Manan
    [J]. Intelligent Medicine, 2022, 2 (03): : 134 - 140
  • [6] Artificial Intelligence for Drug Discovery
    Tang, Jian
    Wang, Fei
    Cheng, Feixiong
    [J]. KDD '21: PROCEEDINGS OF THE 27TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 2021, : 4074 - 4075
  • [7] Artificial intelligence in drug discovery
    Sellwood, Matthew A.
    Ahmed, Mohamed
    Segler, Marwin H. S.
    Brown, Nathan
    [J]. FUTURE MEDICINAL CHEMISTRY, 2018, 10 (17) : 2025 - 2028
  • [8] Explainable Artificial Intelligence for Drug Discovery and Development: A Comprehensive Survey
    Alizadehsani, Roohallah
    Oyelere, Solomon Sunday
    Hussain, Sadiq
    Jagatheesaperumal, Senthil Kumar
    Calixto, Rene Ripardo
    Rahouti, Mohamed
    Roshanzamir, Mohamad
    De Albuquerque, Victor Hugo C.
    [J]. IEEE ACCESS, 2024, 12 : 35796 - 35812
  • [9] Impact of Artificial Intelligence (AI) on Drug Discovery and Product Development
    Narayanan, Ravi Ram
    Durga, Narayanamoorthy
    Nagalakshmi, Sethuraman
    [J]. INDIAN JOURNAL OF PHARMACEUTICAL EDUCATION AND RESEARCH, 2022, 56 (03) : S387 - S397
  • [10] INTEGRATING OF ARTIFICIAL INTELLIGENCE IN DRUG DISCOVERY AND DEVELOPMENT: A COMPARATIVE STUDY
    Anusha, Kanagala
    Jasmitha, Konduru Sai Mala
    Sattibabu, Korapu
    Reddy, Gowtham
    [J]. PHARMACOPHORE, 2023, 14 (03): : 35 - 40