Current Trends in the Identification and Development of Antimicrobial Agents

Immunoinformatics - Role in the Identification of New Classes of Antimicrobials

Author(s): Sunil Krishnan G., Amit Joshi and Vikas Kaushik * .

Pp: 339-358 (20)

DOI: 10.2174/9789815080056123020015

* (Excluding Mailing and Handling)

Abstract

Antimicrobials help to restrain or fix the arising irresistible infection in a superior manner anyway, and living creatures require another class of antimicrobials. The new classes of antimicrobial development for the emerging and reemerging pathogenic microbes, the evolution of multidrug-resistant microbes, and the threat of bioterrorism or bioweapons are a global necessity. Integrative genomics, proteomics, and immunoinformatics are powerful tool approaches to design and develop antimicrobials promptly and economically. Natural and artificial antimicrobials for humans, animals, and avians are designed and developed using various immunoinformatics databases, tools, and algorithms. Immunoinformatics plays a great role in dissecting and deciphering genomics, proteomics, and clinical enormous information effectively. The artificial neural network, quantitative matrices and support vector machine algorithms based on immunoinformatics tools would be strong for the planning of adequate customized antimicrobials. The immunoinformatics strategies for antimicrobial improvement are staggeringly utilized for improving living creatures' well-being. The usage of artificial intelligence and machine learning tools is also an asset for immunoinformatics way of antimicrobial design and development. In the new time of pandemic illnesses, progressed immunoinformatics devices play a great role in improving antimicrobials. 


Keywords: Anthelmintics, Anti microbial peptides, Anti microbial resistance, Antibacterial, Antifungal, Antimicrobials, Antiprotozoal, Antiviral, Artificial intelligence, Big Data, Bioterrorism and bioweapons, Disease, Drug discovery, Drugs, Genomics, Host, Immunoinformatics, Machine learning, Multidrug resistance, Personalized medicine, Proteomics, Vaccines.

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