Graph-theoretical identification of pathways for biochemical reactions

Biotechnology Letters

Volumn 23, Issue 19, 2001, Pages 1551-1557

  Seo, H ^a   Lee, D Y ^a   Park, S ^a   Fan, L T ^b   Shafie, S ^b   Bertok B ^c   Friedler, F ^b,c  

^a Korea Advanced Institute of Science and Technology (KAIST)   (South Korea)

^b Sunflower Networking Group   (United States)

^c UNIVERSITY OF PANNONIA   (Hungary)

Author keywords

Algorithm; Identification; Metabolic pathways; P graph

Indexed keywords

GLUCOSE; PYRUVIC ACID;

ALGORITHM; ARTICLE; BIOCHEMISTRY; CHEMICAL REACTION; METABOLISM; METHODOLOGY; REACTION ANALYSIS; SYNTHESIS;

EID: 0034788626     PISSN: 01415492     EISSN: None     Source Type: Journal    
DOI: 10.1023/A:1011913225764     Document Type: Article

References (10)

1. Combinatorial framework for the systematic generation of reaction pathways
2. A graph-theoretical method to identify candidate mechanisms for deriving the rate law of a catalytic reaction
3. Graph-theoretic approach to process synthesis: Axioms and theorems
4. Graph-theoretic approach to process synthesis: Polynomial algorithm for maximum structure generation
5. Decision mapping: A tool for consistent and complete decisions in process synthesis
6. Mechanistic study of chemical reaction systems
7. Optimization of regulatory architectures in metabolic reaction networks
8. Analysis and design of metabolic reaction networks via mixed-integer linear optimization
9. Computer aided synthesis of biochemical pathways
10. MPS: An artificially intelligent software system for the analysis and synthesis of metabolic pathways