Bioinformatics strategies for studying the molecular mechanisms of fungal extracellular vesicles with a focus on infection and immune responses

Author:

Saravanakumar Kandasamy1ORCID,Santosh Sugavaneswaran Siva2ORCID,Ahamed MohamedAli Afaan3ORCID,Sathiyaseelan Anbazhagan1ORCID,Sultan Ghazala4ORCID,Irfan Navabshan5ORCID,Ali Davoodbasha Mubarak3ORCID,Wang Myeong-Hyeon1ORCID

Affiliation:

1. Department of Bio-Health convergence , Kangwon National University, Chuncheon 200-701, Republic of Korea

2. Department of Biotechnology, St. Joseph's College of Engineering . Chennai, Tamil Nadu, India

3. School of Life Sciences, B.S. Abdur Rahman Crescent Institute of Science and Technology , Chennai, Tamil Nadu 600048, India

4. Department of Computer Science, Aligarh Muslim University, Aligarh , Uttar Pradesh, 202002, India

5. Crescent School of Pharmacy, B.S Abdur Rahman Crescent Institute of Science and Technology , Chennai, 600048, India

Abstract

Abstract Fungal extracellular vesicles (EVs) are released during pathogenesis and are found to be an opportunistic infection in most cases. EVs are immunocompetent with their host and have paved the way for new biomedical approaches to drug delivery and the treatment of complex diseases including cancer. With computing and processing advancements, the rise of bioinformatics tools for the evaluation of various parameters involved in fungal EVs has blossomed. In this review, we have complied and explored the bioinformatics tools to analyze the host–pathogen interaction, toxicity, omics and pathogenesis with an array of specific tools that have depicted the ability of EVs as vector/carrier for therapeutic agents and as a potential theme for immunotherapy. We have also discussed the generation and pathways involved in the production, transport, pathogenic action and immunological interactions of EVs in the host system. The incorporation of network pharmacology approaches has been discussed regarding fungal pathogens and their significance in drug discovery. To represent the overview, we have presented and demonstrated an in silico study model to portray the human Cryptococcal interactions.

Funder

National Research Foundation of Korea

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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