The Protein Folding Problem

A solution to the protein folding problem has eluded researchers for more than 30 years. The stakes are high. Such a solution will make 40,000 more tertiary structures available for immediate study by translating the DNA sequence information in the sequence databases into three-dimensional protein structures. This translation will be indispensable for the analy sis of results from the Human Genome Project, de novo protein design, and many other areas of biotechnological research. Finally, an in-depth study of the rules of protein folding should provide vital clues to the protein fold ing process. The search for these rules is therefore an important objective for theoretical molecular biology. Both experimental and theoretical ap proaches have been used in the search for a solution, with many promising results but no general solution. In recent years, there has been an exponen tial increase in the power of computers. This has triggered an incredible outburst of theoretical approaches to solving the protein folding problem ranging from molecular dynamics-based studies of proteins in solution to the actual prediction of protein structures from first principles. This volume attempts to present a concise overview of these advances. Adrian Roitberg and Ron Elber describe the locally enhanced sam pling/simulated annealing conformational search algorithm (Chapter 1), which is potentially useful for the rapid conformational search of larger molecular systems.

This book presents a new approach to the Protein Folding Problem. It starts with a clear description of what the protein folding problem involves. Then, it suggests non-conventional answers to some of the questions posed. In particular, it emphasizes the importance of hydrophilic interactions and hydrophilic forces, rather than the hydrophobic effects, for the stability of the native structure of proteins, as well for the speed of the folding process.

Proteins in living systems carry out a great variety of specific functions, each of which depends on the precise three-dimensional structure of a particular protein. Proteins are synthesized in the form of a flexible polypeptide chain that is capable of assuming a vast number of configurations; the transformation of this chain into a specific, relatively rigid three-dimensional structure is called folding--a remarkable process of self-organization. It is known that the amino acid sequences of some proteins have sufficient information to determine their three-dimensional structures. There are other proteins whose folding requires additional information beyond that found in the sequence of the mature protein. This book introduces the central problem of folding mechanisms as well as a number of other closely related issues. This book is neither a textbook nor a treatise. Rather, it is an attempt by several investigators to convey the excitement and challenges of those aspects of the folding problem in which they are actively engaged. The contributors give brief introductions to protein folding from the perspectives of molecular architecture, stability and dynamics, phage genetics, DNA exons, general physiology, and natural selection. They point out emerging new directions, including the suggestion of a class of diseases that result from protein folding defects.

Protein Simulation focuses on predicting how protein will act in vivo. These studies use computer analysis, computer modeling, and statistical probability to predict protein function. * Force Fields* Ligand Binding* Protein Membrane Simulation* Enzyme Dynamics* Protein Folding and unfolding simulations

Protein folding remains one of the most exclusive problems of modern biochemistry. Structure analysis has given access to the wealth of the molecular architecture of pro teins. As architecture needs static calculations, protein structure is always related to thermodynamic factors that govern folding and stability of a particular folded protein over the non-organized polypeptide chain. During the past decades a huge amount of thermodynamic data related to protein folding and stability has been accumulated. The data are certainly of importance in dechiffring the protein folding problem. At the same time, the data can guide the con struction of modified and newly synthesized proteins with properties optimized for particular application. The intention of this book is a generation of a data collection which makes the vast amount of present data accessible for multidisciplinary research where chemistry, phy sics, biology, and medicine are involved and also pharmaceutical and food research and technology. It took several years to compile all the data and the author wishes to thank everyone who provided data, ideas or even unpublished results. The author is, in particular, indebted to Prof. Wadso (Lund, Sweden) and IUPAC's Steering Committee on Bio physical Chemistry. Furthermore, support by the Deutsche Forschungsgemeinschafi (INK 16 AI-I) is acknowledged.

The book will discuss classes of proteins and their folding, as well as the involvement of bioinformatics in solving the protein folding problem. In vivo and in vitro folding mechanisms are examined, as well as the failures of in vitro folding, a mechanism helpful in understanding disease caused by misfolding. The role of energy landscapes is also discussed and the computational approaches to these landscapes.

Protein Physics: A Course of Lectures covers the most general problems of protein structure, folding and function. It describes key experimental facts and introduces concepts and theories, dealing with fibrous, membrane, and water-soluble globular proteins, in both their native and denatured states. The book systematically summarizes and presents the results of several decades of worldwide fundamental research on protein physics, structure, and folding, describing many physical models that help readers make estimates and predictions of physical processes that occur in proteins. New to this revised edition is the inclusion of novel information on amyloid aggregation, natively disordered proteins, protein folding in vivo, protein motors, misfolding, chameleon proteins, advances in protein engineering & design, and advances in the modeling of protein folding. Further, the book provides problems with solutions, many new and updated references, and physical and mathematical appendices. In addition, new figures (including stereo drawings, with a special appendix showing how to use them) are added, making this an ideal resource for graduate and advanced undergraduate students and researchers in academia in the fields of biophysics, physics, biochemistry, biologists, biotechnology, and chemistry. Fully revised and expanded new edition based on the latest research developments in protein physics Written by the world's top expert in the field Deals with fibrous, membrane, and water-soluble globular proteins, in both their native and denatured states Summarizes, in a systematic form, the results of several decades of worldwide fundamental research on protein physics and their structure and folding Examines experimental data on protein structure in the post-genome era

Protein folding is a process by which a protein structure assumes its functional shape of conformation, and has been the subject of research since the publication of the first software tool for protein structure prediction. Protein folding in silico approaches this issue by introducing an ab initio model that attempts to simulate as far as possible the folding process as it takes place in vivo, and attempts to construct a mechanistic model on the basis of the predictions made. The opening chapters discuss the early stage intermediate and late stage intermediate models, followed by a discussion of structural information that affects the interpretation of the folding process. The second half of the book covers a variety of topics including ligand binding site recognition, the "fuzzy oil drop" model and its use in simulation of the polypeptide chain, and misfolded proteins. The book ends with an overview of a number of other ab initio methods for protein structure predictions and some concluding remarks. Discusses a range of ab initio models for protein structure prediction Introduces a unique model based on experimental observations Describes various methods for the quantitative assessment of the presented models from the viewpoint of information theory