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Electron Transfer Proteins
A molecular understanding of electron transfer is crucial to understanding the molecular basis of metabolic processes in which electron transfer is essential, diseases involving these processes, and drug design targeting these processes. This book provides a cohesive and comprehensive discussion of computational methods used for electron transfer proteins and what has been learned from such studies for the first time in a book. It also gives an overview of results from theory, computation, and experiment about electron transfer proteins. This resource also includes strategies for studying metal sites that have not been examined computationally.
Domain Modeling-based Software Engineering
Many approaches have been proposed to enhance software productivity and reliability. These approaches typically fall into three categories: the engineering approach, the formal approach, and the knowledge-based approach. The optimal gain in software productivity cannot be obtained if one relies on only one of these approaches. Thus, the integration of different approaches has also become a major area of research.
No approach can be said to be perfect if it fails to satisfy the following two criteria. Firstly, a good approach should support the full life cycle of software development. Secondly, a good approach should support the development of large-scale software for real use in many application domains. Such an approach can be referred to as a five-in-one approach.
The authors of this book have, for the past eight years, conducted research in knowledge-based software engineering, of which the final goal is to develop a paradigm for software engineering which not only integrates the three approaches mentioned above, but also fulfils the two criteria on which the five-in-one approach is based. Domain Modeling- Based Software Engineering: A Formal Approach explores the results of this research.
Domain Modeling-Based Software Engineering: A Formal Approach will be useful to researchers of knowledge-based software engineering, students and instructors of computer science, and software engineers who are working on large-scale projects of software development and want to use knowledge-based development methods in their work.
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