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Genome-based solutions for managing mucormycosis.

Ritu Tomer1, Sumeet Patiyal1, Dilraj Kaur1

  • 1Department of Computational Biology, Indraprastha Institute of Information Technology, Delhi, India.

Advances in Protein Chemistry and Structural Biology
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Summary

Mucormycosis, a fungal infection, now has a dedicated database, MucormyDB, consolidating genomic, proteomic, and drug information. This resource aids in understanding the disease and developing new treatments.

Keywords:
Computational methodsCovid-19FDA-approved drugsFungal infectionImmunotherapyMucormycosis

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Area of Science:

  • Mycology
  • Bioinformatics
  • Computational Biology

Background:

  • Mucormycosis is an opportunistic fungal infection caused by mucoromycetes.
  • Current treatments include antifungal therapy and surgical debridement.
  • A lack of comprehensive, annotated databases hinders mucormycosis research.

Purpose of the Study:

  • To create a centralized, web-based platform for mucormycosis information.
  • To organize data on mucormycosis genomics, proteomics, diagnostics, and therapeutics.
  • To facilitate the discovery of new drug targets and treatment strategies.

Main Methods:

  • Information on mucormycosis was gathered and organized.
  • Tertiary structures of potential drug targets were predicted using AlphaFold2.0.
  • A web-based platform, MucormyDB, was developed.

Main Results:

  • MucormyDB categorizes information into genomics/proteomics, immunotherapy, and drugs.
  • The platform includes data on causative strains, sequence-based therapeutics, and existing drugs.
  • It provides information for computationally aided drug design, including targets and predicted structures.

Conclusions:

  • MucormyDB offers a comprehensive resource for mucormycosis research.
  • The platform supports the identification of novel therapeutic targets.
  • It aims to advance the understanding and treatment of mucormycosis.