Directed evolution aims to expedite the natural evolution process of biological molecules and systems in a test tube through iterative rounds of gene diversifications and library screening/selection. It has become one of the most powerful and widespread tools for engineering improved or novel functions in proteins, metabolic pathways, and even whole genomes. This review describes the commonly used gene diversification strategies, screening/selection methods, and recently developed continuous evolution strategies for directed evolution. Moreover, we highlight some representative applications of directed evolution in engineering nucleic acids, proteins, pathways, genetic circuits, viruses, and whole cells. Finally, we discuss the challenges and future perspectives in directed evolution.
https://www.sciencedirect.com/topics/agricultural-and-biological-sciences/directed-evolution
Synthetic DNA is typically used for research in areas where using active DNA is not possible or not preferred. The process involves advanced research into DNA sequencing and a creative imagination. One of the most exciting things about using synthetic DNA is the flexibility that it offers the biologist working with it.
https://psychesystems.com/what-is-synthetic-dna-and-what-it-means-for-genetics/
Frontier is built with HPE Cray EX supercomputers that deliver end-to-end capabilities comprised of compute, accelerated compute, software, storage and networking to support the magnitude of exascale performance.
The new exascale supercomputer, which is more powerful than the world’s next seven largest supercomputers combined, is dedicated to open science, allowing researchers, scientists, and engineers from a variety of public and private institutions, to leverage Frontier.
In addition to modeling and simulating complex scientific research, across biological, physical and chemical sciences, with higher resolution, Frontier will also enable dramatic breakthroughs in AI. At an exascale speed, Frontier’s users can develop AI models that are 4.5X faster and 8X larger, allowing to train more data that can increase predictability and speed time-to-discovery.
https://www.hpe.com/us/en/newsroom/press-release/2022/05/hewlett-packard-enterprise-ushers-in-new-era-with-worlds-first-and-fastest-exascale-supercomputer-frontier-for-the-us-department-of-energys-oak-ridge-national-laboratory.html