2015/11/30 by Jayanta Kumar Das, Das, Jayanta Kumar, Atrayee Majumder +3
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #FOS: Biological sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning in Bioinformatics #Other Quantitative Biology (q-bio.OT)
paper · pdf · doi:10.48550/arxiv.1512.00745
openalex publication_date 2015/11/30 · openalex created_date 2023/03/18 · openalex updated_date 2026/07/28
The genetic code is the set of rules by which information encoded in genetic\nmaterial (DNA or RNA sequences) is translated into proteins (amino acid\nsequences) by living cells. The code defines a mapping between tri-nucleotide\nsequences, called codons, and amino acids. Since there are 20 amino acids and\n64 possible tri-nucleotide sequences, more than one among these 64 triplets can\ncode for a single amino acid which incorporates the problem of degeneracy. This\nmanuscript explains the underlying logic of degeneracy of genetic code based on\na mathematical point of view using a parameter named Impression. Classification\nof protein family is also a long standing problem in the field of Bio-chemistry\nand Genomics. Proteins belonging to a particular class have some similar\nbio-chemical properties which are of utmost importance for new drug design.\nUsing the same parameter Impression and using graph theoretic properties we\nhave also devised a new way of classifying a protein family.\n