Collaborative Research: Directed Enzyme Evolution Accelerated by Machine Learning for Enhancing the Biodegradation of Emerging Contaminants

Keyphrases

1. 1,4-Dioxane 33%
2. Arizona State University 66%
3. Bacterial Enzymes 100%
4. Biocatalytic 33%
5. Biodegradation 100%
6. Biodegradation Pathway 33%
7. Carbon Source 33%
8. Catalytic Performance 33%
9. Chemical Sciences 33%
10. Collaborative Research 100%
11. Computational Model 66%
12. Degradation Efficiency 33%
13. Degradation Rate 66%
14. Dioxane 100%
15. Directed Enzyme Evolution 100%
16. Emerging Contaminants 100%
17. Environmental Chemicals 33%
18. Enzyme mutants 33%
19. Green Treatment 33%
20. Human-made 33%
21. Imminent Risk 33%
22. Impact Review 33%
23. Institutes of Technology 66%
24. Integrative Framework 33%
25. Laboratory-based 33%
26. Machine Learning 100%
27. Machine Learning Workflow 33%
28. Molecular Determinants 33%
29. Natural Evolution 33%
30. New Jersey 66%
31. New mutation 33%
32. Protein Sequence 33%
33. Public Health 33%
34. Review Criteria 33%
35. Science Programmes 33%
36. Strenuous Exercise 33%
37. Technological Transformation 33%
38. Technology Innovation 33%
39. Undergraduate Students 33%
40. Water Contaminants 33%
41. Water Quality 33%
42. Water Technology 33%
43. Water Treatment 33%