A Study On Artificial Enzymes Bringing Together Computational Design and Directed Evolution

• Author(s): Dr. N. Y. Badannavar
• Paper ID: 1703816
• Page: 248-259
• Published Date: 30-09-2022
• Published In: Iconic Research And Engineering Journals
• Publisher: IRE Journals
• e-ISSN: 2456-8880
• Volume/Issue: Volume 6 Issue 3 September-2022

Abstract

Artificial enzymes, which are engineered catalysts that mimic the functions of natural enzymes, represent a transformative advancement in biotechnology, as they offer the potential to revolutionize various fields, including synthetic biology, industrial catalysis, and medicine, by enabling highly specific and efficient reactions, and the integration of computational design with directed evolution, two cutting-edge approaches, forms the foundation of the next generation of enzyme engineering, with computational design providing a powerful tool to predict and optimize enzyme structures and functions before experimental validation, allowing for the rational development of novel catalytic properties, while directed evolution, a process inspired by natural selection, enables the fine-tuning of these designed enzymes by iteratively mutating and screening variants to select for desired traits, thereby overcoming the limitations of traditional enzyme discovery and development methods, and together, computational design and directed evolution complement each other by combining the precision of computational predictions with the robustness of empirical selection, ultimately enhancing the creation of artificial enzymes with improved stability, specificity, and catalytic efficiency for a wide range of applications in areas such as pharmaceutical production, biofuel synthesis, and environmental remediation, where enzymes can catalyze processes that are otherwise difficult or unsustainable using conventional chemical methods, and future developments of this integrated approach hold great promise, including the potential for creating enzymes capable of catalyzing highly complex reactions or even entirely new chemical transformations, pushing the boundaries of current chemical and biological processes, while also addressing critical challenges in sustainability by replacing toxic or energy-intensive catalysts with bioinspired systems, thus contributing to greener and more sustainable industrial practices; moreover, advancements in computational methods, machine learning, and high-throughput screening are expected to accelerate the optimization of artificial enzymes, further expanding their applications and allowing for the creation of tailored enzymes for specific processes, which could greatly impact innovation in various sectors such as agriculture, healthcare, and renewable energy, making the integration of computational design and directed evolution a key driver of future innovation in enzyme technology and industrial sustainability.

Keywords

Artificial enzymes, Computational design, Directed evolution, Synthetic biology, Industrial catalysis, Sustainability

Citations

IRE Journals:
Dr. N. Y. Badannavar "A Study On Artificial Enzymes Bringing Together Computational Design and Directed Evolution" Iconic Research And Engineering Journals Volume 6 Issue 3 2022 Page 248-259

IEEE:
Dr. N. Y. Badannavar "A Study On Artificial Enzymes Bringing Together Computational Design and Directed Evolution" Iconic Research And Engineering Journals, 6(3)