Frontiers of Bioorganic Chemistry and Molecular Biology covers the proceedings of the International Symposium on Frontiers of Bioorganic Chemistry and Molecular Biology, held in Moscow and Tashkent, USSR on September 25-October 2, 1978. This symposium is devoted to a discussion of the physico-chemical basis of life processes. This book contains 56 chapters, and reflects the results in the study of peptides and proteins, nucleic acids, polysaccharides, and other biopolymers. Other chapters deal with the study of low molecular regulators, including steroids, alkaloids, and antibiotics. This book also includes discussion of the achievements in the study of genetic structures and of cellular protein synthesizing systems of the molecular basis of enzymic catalysis and of bioenergetic processes. This book will be of value to biochemists and molecular biologists.

This book highlights the new frontiers in chemical biology and describes their impact and future potential in drug discovery.

First multi-year cumulation covers six years: 1965-70.

1. K. Kano: Selectivities of Applied Chemistry 2. A. Pl}ckthun: Antibody Engineering to Study Protein-Ligand Interactions and Catalysis: The Phosphorylcholine Binding Antibodies 3. M.W. Hosseini: Supramolecular Catalysis of Phosphoryl Transfer Processes 4. G. von Kiedrowski: Minimal Replicator Theory II: Parabolic versus ExponentialGrowth 5. A. Bacher, W. Eisenreich, K. Kis, R. Ladenstein, G. Richter, J. Scheuring, S. Weinkauf: Biosynthesis of Flavins 6. C.L. Hannon, E.V.Anslyn: The Guanidinium Group: Its Biological Role and Synthetic Analogs.

Optimization problems occurring regularly in chemistry, vary from selecting the best wavelength design for optimal spectroscopic concentration predictions to geometry optimization of atomic clusters and protein folding. Numerous optimization tactics have been explored to solve these problems. While most optimizers maintain the ability to locate global optima for simple problems, few are robust against local optima convergence with regard to difficult or large scale optimization problems. Simulated annealing (SA) has shown a great tolerance to local optima convergence and is often called a global optimizer. The optimizaton algorithm has found wide use in numerous areas such as engineering, computer science, communication, image recognition, operation research, physics, and biology. Recently, SA and variations thereof have shown considerable success in solving numerous chemical optimization problems. The main thrust of this book is to demonstrate the use of SA in a wide range of chemical problems.The potentiality of SA, GSA and other modifications of SA to serve specific needs in a variety of chemical disciplines are covered. A detailed discussion on SA and GSA is given in Chapter 1, presenting the theoretical framework from which a computer program can be written by the reader. The remainder of the book describes applications of SA type algorithms to a diverse set of chemical problems. The final chapter contains an algorithm for GSA written in the MatLab programming environment. This program can be easily adapted to any optimization problem and with only slight modifications, can be altered to perform SA. A general flowchart is also given.