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Computational tools for enzyme improvement: why everyone can - and should - use them
Maximilian Ccjc Ebert1, Joelle N Pelletier2
1Département de biochimie and Center for Green Chemistry and Catalysis (CGCC), Université de Montréal, Montréal, QC H3T 1J4, Canada; PROTEO, The Québec Network for Research on Protein Function, Engineering and Applications, Québec, QC G1V 0A6, Canada.
Current Opinion in Chemical Biology
|February 24, 2017
Summary
Computational methods offer experimentalists user-friendly tools for enzyme engineering and protein-substrate analysis. These bioinformatics advancements improve experimental planning, saving time and resources in enzyme design.
Area of Science:
- Biochemistry
- Computational Biology
- Enzyme Engineering
Background:
- Enzyme engineering relies on experimental methods, often perceiving computational tools as complex and inaccurate.
- Increasing dataset size and complexity necessitate advanced computational approaches for enzyme analysis.
- Bioinformatics has recently developed user-friendly interfaces and accurate algorithms for experimentalists.
Purpose of the Study:
- To review user-friendly computational methods for enzyme engineering.
- To guide experimentalists in creating smart libraries for enzyme design.
- To provide insights into protein-substrate complexes using computational tools.
Main Methods:
- Review of recent advancements in bioinformatics tools for enzyme engineering.
- Focus on user-friendly interfaces and accurate algorithms.
- Application of computational methods for analyzing protein-substrate interactions.
Main Results:
- Computational tools are becoming increasingly accessible and accurate for experimentalists.
- These methods facilitate efficient experimental planning and resource management.
- Bioinformatics tools aid in rationalizing enzyme engineering efforts.
Conclusions:
- Computational methods are essential for modern enzyme engineering and analyzing complex biological data.
- User-friendly bioinformatics tools empower experimentalists to design better enzyme libraries.
- Further development is needed to address challenges in transient modern technology for computational tools.
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