Title:Exploration of Computational Aids for Effective Drug Designing and
Management of Viral Diseases: A Comprehensive Review
Volume: 23
Issue: 17
Author(s): Tahmeena Khan*Saman Raza
Affiliation:
- Department of Chemistry, Integral University, Lucknow, 226026, U.P., India
Keywords:
High-throughput, Therapeutic-intervention, Microbial diseases, COVID-19, Pathogens, PCR assays.
Abstract:
Background: Microbial diseases, specifically originating from viruses are the major
cause of human mortality all over the world. The current COVID-19 pandemic is a case in point,
where the dynamics of the viral-human interactions are still not completely understood, making its
treatment a case of trial and error. Scientists are struggling to devise a strategy to contain the pandemic
for over a year and this brings to light the lack of understanding of how the virus grows and
multiplies in the human body.
Methods: This paper presents the perspective of the authors on the applicability of computational
tools for deep learning and understanding of host-microbe interaction, disease progression and management,
drug resistance and immune modulation through in silico methodologies which can aid in
effective and selective drug development. The paper has summarized advances in the last five years.
The studies published and indexed in leading databases have been included in the review.
Results: Computational systems biology works on an interface of biology and mathematics and intends
to unravel the complex mechanisms between the biological systems and the inter and intra
species dynamics using computational tools, and high-throughput technologies developed on algorithms,
networks and complex connections to simulate cellular biological processes.
Conclusion: Computational strategies and modelling integrate and prioritize microbial-host interactions
and may predict the conditions in which the fine-tuning attenuates. These microbial-host interactions
and working mechanisms are important from the aspect of effective drug designing and fine-
tuning the therapeutic interventions.
