In silico prediction of amino acid sequence of known genes of chicory using computational techniques
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Date
2021-02
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G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand)
Abstract
In the era of computers, we are facing problems like food adulteration, lethal viral and bacterial diseases which are deteriorating human life style while on the other hand computational techniques are providing solution oriented platforms for dealing these problems. Computational techniques in the field of bioinformatics are providing dry lab experiments tools which minimize the wide domain of wet lab experiments and reduce human efforts in the field of biology. Chicory is a veggie lover perpetual plant. Its logical name is Cichorium intybus yet in India it is known as Chicory and kasni. Chicory is an extraordinary kind of herb, which has numerous therapeutic properties. As chicory is a medicinal plant so the main objective of this study is to predict amino acid sequence of known genes of chicory and finding concentration of essential amino acids in each predicted sequence which provide its nutritional value. Transcription is a process of converting DNA to mRNA and further this mRNA is converted into protein (amino acid sequence) by the process known as translation and jointly known as central dogma of cell. Codon table is base of the translation process. Web crawling and scrapping is used to collect data from “www.ncbi.nlm.nih.gov”. DNA to amino acid sequence prediction of 100 GENE files of chicory is performed by python programming language on the bases of codon table. Python is also used to find concentration of essential amino acids in each predicted sequence. The average essential amino acid in 100 predicted sequence is 46% (Histidine- 2%, Isoleucine-8%, Leucine-10%, Lysine-4%, Methiononine-3%, Phenylalanine-5%, Threonine-5%, Tryptophan-2%, Valine-7%).