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Genetic Algorithms in Molecular Modeling is the first book available on the use of genetic algorithms in molecular design. This volume marks the beginning of an ew series of books, Principles in Qsar and Drug Design, which will be an indispensible reference for students and professionals involved in medicinal chemistry, pharmacology, (eco)toxicology, and agrochemistry. Each comprehensive chapter is written by a distinguished researcher in the field.Through its up to the minute content, extensive bibliography, and essential information on software availability, this book leads the reader fr

Genetic algorithms. --- Molecules --- Drugs --- QSAR (Biochemistry) --- Models. --- Design. --- Basic Sciences. Molecular Biology --- Molecular Biology (General). --- GAs (Algorithms) --- Genetic searches (Algorithms) --- Algorithms --- Combinatorial optimization --- Evolutionary computation --- Genetic programming (Computer science) --- Learning classifier systems --- Quantitative structure-activity relationships (Biochemistry) --- Structure-activity relationships (Biochemistry) --- Molecules - Models. --- Drugs - Design.

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What are the main challenges of computational molecular biology once the genome projects are completed? Integrative Approaches to Molecular Biology focuses on molecular biology beyond sequences: from gene regulation to differentiation, a higher-level integration that will be a major theme in biology following conclusion of the genome program. It charts the course of the emerging discipline of integrative molecular biology from macromolecular sequences to a biological (and theoretical) perspective, showing that novel integrative methodologies and paradigms are emerging at the confluence of such disciplines as computer science, logic, linguistics, and mathematics. Following an introductory chapter by Richard Lewontin that offers a critique of the evolutionary process as one of engineering design, the first part of the book, on computational biology, addresses issues concerning protein and DNA sequences within genome projects and a federated infrastructure for databases. The second part brings together experimental, evolutionary, computational, and theoretical approaches dealing with regulation of gene expression, metabolic pathways, and cell differentiation. The book concludes with a chapter on problems and perspectives on artificial intelligence.

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