Current applications of biomolecules in artificial intelligence and machine learning

Biomolecules like nucleic acids and proteins are involved in biological procedures, as they participate in these biological cycles. They frequently go through movements and changes in their compliance that are identified with their capacity. The current investigation and advancement of techniques help in the analysis of the elements of the changes. Regular methodologies for solving biomolecule constructions cannot measure the adjustment of conformance due to the size of the designs and the rate of change. The application of software engineering, which provides instruments and understanding known as bioinformatics, is frequently used for challenges where this would be difficult to obtain in other ways. The arrangement of amino acids that form a protein chain can be compared to other amino acid sequences to uncover common patterns. On the other hand, calculations such as dynamic programming arrangement algorithms make this a quick and simple approach. In this chapter, we have discussed how new techniques like artificial intelligence (AI) and machine learning (ML) have been used in the medical field to achieve a better insight into how the human body works so that diseases can be detected, drugs can be developed, and their functions can be better understood.