Vaxi-DL: An Artificial Intelligence-Enabled Platform for Vaccine Development.

Journal: Methods in molecular biology (Clifton, N.J.)
Published Date: Jan 1, 2023

Abstract

Vaccine development is a complex and long process. It involves several steps, including computational studies, experimental analyses, animal model system studies, and clinical trials. This process can be accelerated by using in silico antigen screening to identify potential vaccine candidates. In this chapter, we describe a deep learning-based technique which utilizes 18 biological and 9154 physicochemical properties of proteins for finding potential vaccine candidates. Using this technique, a new web-based system, named Vaxi-DL, was developed which helped in finding new vaccine candidates from bacteria, protozoa, viruses, and fungi. Vaxi-DL is available at: https://vac.kamalrawal.in/vaxidl/ .

Authors

  • P Preeti
    Amity Institute of Biotechnology, Amity University, Uttar Pradesh, India. Electronic address: p.preeti8227@gmail.com.
  • Swarsat Kaushik Nath
    Amity Institute of Biotechnology, Amity University, Uttar Pradesh, India. Electronic address: nathswarsat@gmail.com.
  • Nevidita Arambam
    Centre for Computational Biology and Bioinformatics, AIB, Amity University, Noida, Uttar Pradesh, India.
  • Trapti Sharma
    Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India.
  • Priyanka Ray Choudhury
    Centre for Computational Biology and Bioinformatics, AIB, Amity University, Noida, Uttar Pradesh, India.
  • Alakto Choudhury
    Centre for Computational Biology and Bioinformatics, AIB, Amity University, Noida, Uttar Pradesh, India.
  • Vrinda Khanna
    Centre for Computational Biology and Bioinformatics, AIB, Amity University, Noida, Uttar Pradesh, India.
  • Ulrich Strych
    Texas Children's Center for Vaccine Development, Departments of Pediatrics and Molecular Virology and Microbiology, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA. Electronic address: strych@bcm.edu.
  • Peter J Hotez
    Department of Pediatrics, Division of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA.
  • Maria Elena Bottazzi
    Texas Children's Center for Vaccine Development, Departments of Pediatrics and Molecular Virology and Microbiology, National School of Tropical Medicine, Baylor College of Medicine, Houston, TX, USA; Department of Biology, Baylor University, Waco, TX, USA. Electronic address: bottazzi@bcm.edu.
  • Kamal Rawal
    Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, Uttar Pradesh, India.

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