SRI International Demonstrates Computational Method for Mapping and Predicting Human Metabolic Pathways and Proteins

18-Feb-2005

SRI International, an independent nonprofit research and development organization, has performed a computational analysis of the human genome to predict metabolic pathways and to predict new gene functions within the human genome. Using SRI's PathoLogic(TM) software , the analysis assigned 622 human enzymes to roles in 135 predicted metabolic pathways. The pathways and the analysis results are available in the HumanCyc database.

The HumanCyc database is the seventeenth in SRI's growing collection of BioCyc pathway and genome databases. HumanCyc provides a genome-based view of human nutrition that could foster a better understanding of the links between genome, diet and health.

"The human genome is incredibly vast and complex; Pathways provide a framework for organizing the human genome so that scientists can more easily understand and manipulate it according to the molecular interactions among genes," said Peter Karp, Ph.D., director of SRI's Bioinformatics Research Group. "SRI's goal is to provide biologists with the 'power tools' they need to understand and analyze the genome in a much more useful way. By structuring information into pathways, we provide a unique genomic framework to more easily group and analyze our biochemical machinery. For example, one pathway in the HumanCyc database describes genes that work together to break down nicotine; another pathway contains the group of genes that make cholesterol."

https://www.bionity.com/en/news/43540/sri-international-demonstrates-computational-method-for-mapping-and-predicting-human-metabolic-pathways-and-proteins.html