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Recent Advancements in AI-Assisted Drug Design and Discovery Systems

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Industry 4.0 and Healthcare

Part of the book series: Advanced Technologies and Societal Change ((ATSC))

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Abstract

Pharmaceutical companies and chemical experts invest much in drug design and development research. Low effectiveness, off-target delivery, higher costs, and time intake present barriers and constraints to drug design and development. Furthermore, complicated and extensive data sets generated from genomes, proteomics, microarray data, and clinical trials obstruct drug development as recorded data are tough to analyze and model. Artificial intelligence (AI) has been widely applied in drug research and has contributed significantly to its design and development. Deep learning, a subdomain of AI, has revolutionized the field of drug discovery, especially for peptide synthesis, toxicity prediction, drug repositioning, etc. In this chapter, numerous application areas have been identified where existing AI technologies have the potential to speed up drug design research work. Recent progress in the AI field has opened new horizons for drug discovery research. This chapter discusses the current approaches, technological obstacles, and limitations with the goal of probable future avenues for AI-aided drug development and discovery.

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Authors and Affiliations

  1. Rajiv Gandhi Institute of Petroleum Technology, Uttar Pradesh, Jais, Amethi, 229304, India

    Kamal Nayan, Karan Kumar Paswan & Vinamra Bhushan Sharma

  2. Indian Institute of Technology, Chennai, 60036, India

    Yogendra Kumar

  3. Gyan Ganga Institute of Technology and Sciences, Madhya Pradesh, Bargi Hills, Jabalpur, 482001, India

    Saurabh Tewari

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  1. Kamal Nayan
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  2. Karan Kumar Paswan
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  3. Vinamra Bhushan Sharma
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Correspondence to Saurabh Tewari .

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Editors and Affiliations

  1. Department of Computer Science, Gyan Ganga Institute of Technology and Sciences, Jabalpur, India

    Ashish Mishra

  2. Western Norway University of Applied Science, Bergen, Norway

    Jerry Chun-Wei Lin

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Nayan, K., Paswan, K.K., Sharma, V.B., Kumar, Y., Tewari, S. (2023). Recent Advancements in AI-Assisted Drug Design and Discovery Systems. In: Mishra, A., Lin, J.CW. (eds) Industry 4.0 and Healthcare . Advanced Technologies and Societal Change. Springer, Singapore. https://doi.org/10.1007/978-981-99-1949-9_2

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