Cayley Graphs of Semigroups Applied to Atom Tracking in Chemistry

被引:0
|
作者
Nojgaard, Nikolai [1 ]
Fontana, Walter [2 ]
Hellmuth, Marc [3 ]
Merkle, Daniel [1 ]
机构
[1] Univ Southern Denmark, Dept Math & Comp Sci, DK-5230 Odense M, Denmark
[2] Harvard Med Sch, Dept Syst Biol, Boston, MA 02115 USA
[3] Univ Leeds, Sch Comp, Leeds, W Yorkshire, England
关键词
algorithmic cheminformatics; chemical reaction networks; computational biology; double pushout; graph transformations;
D O I
10.1089/cmb.2020.0548
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
While atom tracking with isotope-labeled compounds is an essential and sophisticated wet-lab tool to, for example, illuminate reaction mechanisms, there exists only a limited amount of formal methods to approach the problem. Specifically, when large (bio-)chemical networks are considered where reactions are stereospecific, rigorous techniques are inevitable. We present an approach using the right Cayley graph of a monoid to track atoms concurrently through sequences of reactions and predict their potential location in product molecules. This can not only be used to systematically build hypothesis or reject reaction mechanisms (we will use the ANRORC mechanism "Addition of the Nucleophile, Ring Opening, and Ring Closure" as an example) but also to infer naturally occurring subsystems of (bio-)chemical systems. Our results include the analysis of the carbon traces within the tricarboxylic acid cycle and infer subsystems based on projections of the right Cayley graph onto a set of relevant atoms.
引用
收藏
页码:701 / 715
页数:15
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