== Erch E-book Expedition ==

This book is a collection of articles by the pioneers of the road analysis. Although some decisions and the State - of - the - art review of the book form a number of issues still to be addressed in the scientific community. The phrase "drug" Discovery "in the title was to emphasize the pragmatic approach to the book.

Pathway analysis of tests on the huge task of registration of the molecular biological knowledge that it is suitable for predicting the calculation. Pathway analysis is currently in its infancy and should be considered and the development of software in the system. This system can only be based on practical solutions that have a direct impact on human life and well - are public. Improving human health and the optimization of biological organisms, human needs are the two main practical applications of molecular biology to quickly move it far from the academic disciplines of science towards commercial industry.

Drug discovery industry could benefit most from the path analysis. There are two basic computing tasks in the drug development. First, the calculation of the molecular structure, which have specific protein targets and, therefore, predictable and predicted biological effects. The second is the calculation of biological effects for yourself. Both tasks require a high computational resources, but use very different fundamental principles. Structural design of drugs based on the physics of molecular structure and interactions, and the calculation is based on the biological effects of the flow of information or analysis methods. While the flow of information inside the living cell through the physical interaction network of molecular interactions in physics have a limited impact on biological pathways. Instead, players from Combinatorial protein network is determined by the biological results of drug treatment, disease progression and healthy alarms throughout the human body. Calculating the complexity of the structural drug design of a large number of molecules involved in molecular interactions in the path analysis of the complexity arises from a number of processes that take place one human cell, multiplied by the number of human body tissue.

Currently used method of calculating "exposure to drugs, the use of living organisms, such as animal models and patients in clinical trials is expensive, error probability, and can be viewed as unethical. Thus, all seem to believe that silicon projections should be the safest and most economical way to improve the drug development pipeline. As computational resources have sufficient excuse fast disappearing into history, the book attempts to summarize the key elements required to successfully silico analysis of the drug development path.