Codon Optimization and Converting DNA Sequence into Protein Sequence using Deep Neural Networks

In bioinformatics, finding the protein sequences plays a crucial role, as they help in developing anti-biotics, which help in curing many diseases. Protein sequence analysis is used to identify amino acid sequence. Identification of structure and function of proteins plays a crucial role in understanding cellular processes. These protein sequences are obtained from DNA sequences by dividing them into codons. DNA sequences are first divided into codons and these codons can be optimized before converting them into protein sequence. Codon optimization is done to achieve transcription efficiency, translation efficiency, gene synthesis, protein folding, etc as this optimization helps in reducing the GC contents. It can also solve some of the problems of protein expression like cannot be expressed in heterologous systems, expression level is very low, unable to fold properly, lose functional activity, etc. After codon optimization, the resultant sequence is converted into protein sequence using deep neural networks.