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Identify Unfavorable COVID Medicine Reactions from the Three-Dimensional Structure by Employing Convolutional Neural Network

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Mathematical Modeling and Intelligent Control for Combating Pandemics

Part of the book series: Springer Optimization and Its Applications ((SOIA,volume 203))

Abstract

The medicine development process is expensive, challenging, and time needed. Computational model-based classifiers have been employed to overcome these problems. One of the reasons for medicine failure is unfavorable reactions. So, it is prominent to identify unfavorable reactions during the medicine clinical testing phase with the help of computational models, such as convolutional neural network (CNN). Therefore, this chapter presents a CNN classifier that identifies the unfavorable COVID medicine reactions from the three-dimensional structure. Appropriately identifying unfavorable reactions of COVID medicine is vital in modern medicine development. To build the proposed CNN classifier, unfavorable medicine reactions are obtained from WebMD, and three-dimensional medicine structures are collected from PubChem. The presented CNN classifier in this chapter suggests that three-dimensional medicine structures are adequate to identify unfavorable reactions. The presented CNN model outperformed the pre-trained models’ performance and achieved an 87.16% accuracy score.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, National Institute of Technology Nagaland, Dimapur, India

    Pranab Das & Dilwar Hussain Mazumder

Authors
  1. Pranab Das
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  2. Dilwar Hussain Mazumder
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Editor information

Editors and Affiliations

  1. Department of Medical Research, China Medical University Hospital, Taichung, Taiwan

    Zakia Hammouch

  2. University of Hassan II Casablanca, Casablanca, Morocco

    Mohamed Lahby

  3. Department of Mathematics and Computer Science, Cankaya University, Etimesgut, TĂĽrkiye

    Dumitru Baleanu

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Das, P., Mazumder, D.H. (2023). Identify Unfavorable COVID Medicine Reactions from the Three-Dimensional Structure by Employing Convolutional Neural Network. In: Hammouch, Z., Lahby, M., Baleanu, D. (eds) Mathematical Modeling and Intelligent Control for Combating Pandemics. Springer Optimization and Its Applications, vol 203. Springer, Cham. https://doi.org/10.1007/978-3-031-33183-1_9

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