In-Silico Structural prediction and functional annotation of uncharacterized protein Q7TLC7 (Y14_SARS) presence in SARS-COV2

Protein structure prediction strategies point to predict the structures of proteins from their amino acid sequences, utilizing different computational calculations. Basically, the prediction of 3D structure of a protein from its amino acid sequence is one of the foremost critical indecisive issues in computational biology. This paper endeavors to grant a comprehensive presentation of the foremost later exertion and advance on protein structure prediction. Taking after the common flowchart of structure prediction, related concepts and strategies are displayed and experimentally established. In addition, brief presentations are made to a few widely-used prediction methods and the community-wide basic appraisal of protein structure prediction experiments. Here we can see Unknown proteins exist but have not been characterized or connected to known qualities. Domains of unknown function are experimentally distinguished proteins with no known functional or structural domain. In this paper, the examination and characterization of the likely useful perspectives of a hypothetical protein: coronavirus Q7TLC7 (Y14_SARS) was performed utilizing different computational strategies and tools. As the protein tertiary structure not accessible within the Protein Data Bank, the basic demonstrate expectation with its structural and functional annotation is well explained in this paper which consequently, gives an understanding into this hypothetical protein ( Q7TLC7) .In this manner, unleashes an opportunity for medicate and immunization focusing on against the disease by COVID19 investigation will be of significance in understanding the mechanism of the infections and will demonstrate to be advantageous within the revelation of new drugs