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Deep learning application detecting SARS-CoV-2 key enzymes inhibitors.

Leila Benarous1,2, Khedidja Benarous3, Ghulam Muhammad4

  • 1LIM Laboratory (Laboratoire d'informatique Et de Mathématique), Department of Computer Science, Faculty of Science, University of Amar Telidji, Laghouat, Algeria.

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This study introduces a deep learning tool to identify natural sources, like plants and foods, containing key inhibitors for SARS-CoV-2. This aids in finding natural remedies to combat the virus early.

Keywords:
AlimentsCOVID-19Deep learningIdentificationKey enzymes inhibitorsPlants

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Area of Science:

  • Computational biology and bioinformatics
  • Virology and infectious diseases
  • Natural product chemistry

Background:

  • The COVID-19 pandemic necessitates rapid development of treatments and diagnostic methods.
  • Key enzymes of SARS-CoV-2 are targets for antiviral therapies, with inhibitors found in natural sources.
  • Early intervention using inhibitors can reduce viral replication and prevent severe health consequences.

Purpose of the Study:

  • To develop a deep learning application for identifying natural sources rich in SARS-CoV-2 key enzyme inhibitors.
  • To assist researchers and medical professionals in discovering novel food and plant-based antiviral compounds.
  • To expand the known sources of thirteen specific SARS-CoV-2 inhibitors.

Main Methods:

  • Development of a deep learning model trained on a dataset of aliments, plants, and drugs.
  • The model identifies components containing SARS-CoV-2 key inhibitors based on their names.
  • Focus on identifying inhibitors from food items, plants, and seeds.

Main Results:

  • A functional deep learning application capable of detecting SARS-CoV-2 key inhibitors in specified natural sources.
  • The application is trained to recognize thirteen critical inhibitors.
  • Successful identification of inhibitor-containing sources based on names of aliments, plants, and seeds.

Conclusions:

  • Deep learning offers a promising approach for accelerating the discovery of natural antiviral compounds.
  • The developed tool can aid in identifying new dietary and botanical sources of SARS-CoV-2 inhibitors.
  • Further research can expand the application to include a wider range of sources and inhibitors.