European Journal of Molecular & Clinical Medicine

Abstract

Engineering proteins for diverse applications by using evolutionary strategies is currently an active research area. Two broad classifications of protein engineering strategies to develop new or enhanced proteins, include rational and directed evolution approaches. Rational engineering of proteins has found its own limitations of insufficient knowledge about parent proteins, whereas directed evolution finds difficulty in screening, though it does not depend on prior information about the parent proteins. These protein engineering approaches, results in the creation of novel with various desired features. Protein biomaterials are created with a combination of natural/synthetic polymers or engineered proteins/protein domains for its use in biomedical field. Both protein engineering and biomaterials have evolved over time. This review mainly serves to discuss the engineered proteins/protein domains/a combination of natural proteins with synthetic polymers in creating protein biomaterials of enhanced properties for biomedical applications like scaffolds for tissue engineering, wound healing etc. Machine learning is seen as an emerging computational technique that is being explored for use in evolving proteins