Shashank Rana, Preeti, Department of Microbiology, C. C. S. University Campus, Meerut 250001, Uttar Pradesh, India.
Vartika Singh, Amity School of Global Warming and Ecological Studies (AIGWES), Amity University, Noida, Uttar Pradesh, India.
Nikunj Bhardwaj, Department of Zoology, M. S. College, Saharanpur, Uttar Pradesh, India.
Online First : 28 February 2021
Publisher Name : IJAICT India Publications, India.
Print ISBN : 978-81-950008-6-9
Online ISBN : 978-81-950008-7-6
Page :053-067
Abstract
Biological data is a new era with new growth in numerical and memory retention capacity, many microbial and eukaryotic genomes encapsulate the human genome's pure structure, followed by raising the prospect of higher viral control. The goal is as high as the development of drug development based on the study of the structures and functions of target molecules (rational drug) and antimicrobial agents, the growth is simple to manage drugs, protein biomarkers that develop different bacterial infections and healthier considerate of protein(host)-protein(bacteria) interactions to avert bacterial disease. In addition to many bioinformatics processes and cross-reference, databases have made easy the understanding of these goals. The current study is divided into (I) genomics - sequencing and gene-related studies to determine the genetic function and genetic engineering, (II) proteomics - classification of associated properties of protein and rebuilding of the metabolic and regulatory pathway, (III) growth of drug and antimicrobial agents' application. Our center of attention on genomics and proteomics strategies and their restrictions in the current chapter. Bioinformatics study can be grouped under several main criteria: (1) research-based on existing wet-lab testing data, (2) new data obtained from the use of mathematical modelling and (3) an incorporated method that combines exploration procedure with a mathematical model. The main implications of bioinformatics examined area have automated genetic sequence, robotic expansion of integrated data of genomics and proteomics, computer-assisted comparison to find genome utility, the automatic origin of a metabolic pathway, gene expression analysis which was derived from the regulatory pathway, clustering techniques and strategies of data mining to identify the interaction of protein-protein and protein-DNA and silico modelling of three-dimensional protein arrangement and docking between proteins and biological chemicals for rational drug design, investigation of differences among infectious and non-infectious species to recognise genes drugs and antimicrobial agents and all genome comparisons to be aware of the development of microorganisms. Advanced bioinformatics has the potential to help (i) cause disease detection, (ii) develop new drugs and (iii) improve cost-effective bioremediation agents. Recent research is a part of the lack of genetic functionality found in wet laboratories information, the absence of computer algorithms to test large amounts of information on unidentified function and the continuous discovery of protein-to-protein, protein-to-DNA and Protein to RNA interaction.
Keywords
Rational Drug, Proteomics, Genomics, Microbial biotechnology, neural networks, Modeler, Homology, ORF, Nucleotide and Amino acid.
Cite this article
Shashank Rana, Vartika Singh, Preeti and Nikunj Bhardwaj, “Bioinformatics in Microbial Biotechnology: A Genomics and Proteomics Perspective”, Innovations in Information and Communication Technology Series, pp. 053-067, 28 February, 2021.
Copyright
© 2021 Shashank Rana, Vartika Singh, Preeti and Nikunj Bhardwaj. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
