Graph transformation for enzymatic mechanisms
Author(s) -
Jakob L. Andersen,
Rolf Fagerberg,
Christoph Flamm,
Walter Fontana,
Juraj Kolčák,
Christophe V. F. P. Laurent,
Daniel Merkle,
Nikolai Nøjgaard
Publication year - 2021
Publication title -
bioinformatics
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btab296
Subject(s) - computer science , graph rewriting , graph , transformation (genetics) , source code , theoretical computer science , biochemical engineering , database , chemistry , programming language , biochemistry , engineering , gene
The design of enzymes is as challenging as it is consequential for making chemical synthesis in medical and industrial applications more efficient, cost-effective and environmentally friendly. While several aspects of this complex problem are computationally assisted, the drafting of catalytic mechanisms, i.e. the specification of the chemical steps-and hence intermediate states-that the enzyme is meant to implement, is largely left to human expertise. The ability to capture specific chemistries of multistep catalysis in a fashion that enables its computational construction and design is therefore highly desirable and would equally impact the elucidation of existing enzymatic reactions whose mechanisms are unknown.
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