Psychrophilic Microbiomes

Abstract

The psychrophilic microbiomes have potential biotechnological applications in agriculture, the environment and medicine. Analysis of psychrophilic protein sequences can facilitate in increasing the knowledgebase of sequence-structure-function and adaptation relationships responsible for providing the ability to survive under the low temperature surroundings. The present chapter will explain broadly two types of in silico analysis that are prevalent in the research community: Comparative statistical analysis using sequences and structures and machine learning based predictive models for the extraction of psychrophilic signatures. The availability of psychrophilic protein structures is still quite less as compared to the available sequences, consequently most of the previous research works have utilized either full proteomes of psychrophiles or protein sequences filtered based on some criteria for comparative analysis. The major requirement for application of data mining and statistical comparative approaches is the availability of psychrophilic protein sequences and structures.