Combinatorial and computational challenges for biocatalyst design

By Frances H. Arnold. Nature, 2001

419 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/5e52cfb15ed109b853ba144bba4fd5fdecde1475

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomedical Engineering

1. M. Himmel
2. Jonathan R. Mielenz
3. Jeff Clune
4. Y.‐H. Percival Zhang

In Molecular Biology

1. Rafael Sanjuán
2. Charles Ofria
3. Jonathan R. Mielenz
4. Richard E. Lenski
5. Jeff Clune
6. M. Himmel
7. Y.‐H. Percival Zhang

Citations in the corpus

• Natural Selection Fails to Optimize Mutation Rates for Long-Term Adaptation on Rugged Fitness Landscapes (2008, background): “Beyond their implications for understanding nature, our findings are also relevant for applied fields that use evolution to improve the performance of biological and computational systems, from molecular and microbial engineering to robotics and evolutionary computation [44,45].”
• Outlook for cellulase improvement: screening and selection strategies. (2006, background): “Even if the structure and catalysis mechanism of the target enzyme are well characterized, the molecular mutation basis for the desired function may not be achieved (Arnold, 2001).”