review·Drug Discovery Today·Oct 21, 2020GREEN OA

Artificial intelligence in drug discovery and development

DPDebleena PaulGSGaurav SanapSSSnehal ShenoyDKDnyaneshwar KalyaneKKKiran Kalia

Government of India · National Institute of Pharmaceutical Education and Research (NIPER) - Ahmedabad

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Abstract

No abstract available for this paper.

Citation impact

1,526
total citations
FWCI
78.42
Percentile
100%
References
147
Citations per year

Authors

6
  • DP
    Debleena Paul

    Government of India, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmedabad

  • GS
    Gaurav Sanap

    Government of India, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmedabad

  • SS
    Snehal Shenoy

    Government of India, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmedabad

  • DK
    Dnyaneshwar Kalyane

    Government of India, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmedabad

  • KK
    Kiran Kalia

    Government of India, National Institute of Pharmaceutical Education and Research (NIPER) - Ahmedabad

Topics & keywords

Topics
  • Primary topicComputational Drug Discovery Methods94%
  • Artificial Intelligence in Healthcare and Education91%
Keywords
  • Drug discovery
  • Drug
  • Drug development
  • Pharmaceutical sciences
  • Computational biology
  • Computer science
  • Data science
  • Pharmacology
No related works found for this paper.

Funding

  • SA
    Science and Engineering Research Board