Ab Initio Protein Tertiary Structure Prediction Constrained by Extracted Secondary Structures from CryoEM Density Maps

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ISBN 13 :
Total Pages : 310 pages
Book Rating : 4.:/5 (226 download)

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Book Synopsis Ab Initio Protein Tertiary Structure Prediction Constrained by Extracted Secondary Structures from CryoEM Density Maps by : Yonggang Lu

Download or read book Ab Initio Protein Tertiary Structure Prediction Constrained by Extracted Secondary Structures from CryoEM Density Maps written by Yonggang Lu and published by . This book was released on 2007 with total page 310 pages. Available in PDF, EPUB and Kindle. Book excerpt:

AB Initio Protein Tertiary Structure Prediction

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ISBN 13 :
Total Pages : 6 pages
Book Rating : 4.:/5 (684 download)

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Book Synopsis AB Initio Protein Tertiary Structure Prediction by :

Download or read book AB Initio Protein Tertiary Structure Prediction written by and published by . This book was released on 2001 with total page 6 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the period from September 1, 1998 until September 1, 2000 I was awarded a Sloan/DOE postdoctoral fellowship to work in collaboration with Professor John Moult at the Center for Advanced Research in Biotechnology (CARB). Our research project, ''Ab Initio Protein Tertiary Structure Prediction and a Comparative Genetic algorithm'', yielded promising initial results. In short, the project is designed to predict the native fold, or native tertiary structure, of a given protein by inputting only the primary sequence of the protein (one or three letter code). The algorithm is based on a general learning, or evolutionary algorithm and is called Genetic Algorithm (GAS). In our particular application of GAS, we search for native folds, or lowest energy structures, using two different descriptions for the interactions of the atoms and residues in a given protein sequence. One potential energy function is based on a free energy description, while the other function is a threading potential derived by Moult and Samudrala. This modified genetic algorithm was loosely termed a Comparative Genetic Algorithm and was designed to search for native folded structures on both potential energy surfaces, simultaneously. We tested the algorithm on a series of peptides ranging from 11 to 15 residues in length, which are thought to be independent folding units and thereby will fold to native structures independent of the larger protein environment. Our initial results indicated a modest increase in accuracy, as compared to a standard Genetic Algorithm. We are now in the process of improving the algorithm to increase the sensitivity to other inputs, such as secondary structure requirements. The project did not involve additional students and as of yet, the work has not been published.

Protein Structure Prediction

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Publisher : Springer Science & Business Media
ISBN 13 : 1592593682
Total Pages : 425 pages
Book Rating : 4.5/5 (925 download)

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Book Synopsis Protein Structure Prediction by : David Webster

Download or read book Protein Structure Prediction written by David Webster and published by Springer Science & Business Media. This book was released on 2008-02-03 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: The number of protein sequences grows each year, yet the number of structures deposited in the Protein Data Bank remains relatively small. The importance of protein structure prediction cannot be overemphasized, and this volume is a timely addition to the literature in this field. Protein Structure Prediction: Methods and Protocols is a departure from the normal Methods in Molecular Biology series format. By its very nature, protein structure prediction demands that there be a greater mix of theoretical and practical aspects than is normally seen in this series. This book is aimed at both the novice and the experienced researcher who wish for detailed inf- mation in the field of protein structure prediction; a major intention here is to include important information that is needed in the day-to-day work of a research scientist, important information that is not always decipherable in scientific literature. Protein Structure Prediction: Methods and Protocols covers the topic of protein structure prediction in an eclectic fashion, detailing aspects of pred- tion that range from sequence analysis (a starting point for many algorithms) to secondary and tertiary methods, on into the prediction of docked complexes (an essential point in order to fully understand biological function). As this volume progresses, the authors contribute their expert knowledge of protein structure prediction to many disciplines, such as the identification of motifs and domains, the comparative modeling of proteins, and ab initio approaches to protein loop, side chain, and protein prediction.

Ab Initio Protein Tertiary Structure Prediction Using Restricted Ramachandran Geometries and Physico-chemical Potentials

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ISBN 13 :
Total Pages : 656 pages
Book Rating : 4.:/5 (931 download)

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Book Synopsis Ab Initio Protein Tertiary Structure Prediction Using Restricted Ramachandran Geometries and Physico-chemical Potentials by : Nicholas Gibbs

Download or read book Ab Initio Protein Tertiary Structure Prediction Using Restricted Ramachandran Geometries and Physico-chemical Potentials written by Nicholas Gibbs and published by . This book was released on 2001 with total page 656 pages. Available in PDF, EPUB and Kindle. Book excerpt:

From Protein Structure to Function with Bioinformatics

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Publisher : Springer Science & Business Media
ISBN 13 : 1402090587
Total Pages : 330 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis From Protein Structure to Function with Bioinformatics by : Daniel John Rigden

Download or read book From Protein Structure to Function with Bioinformatics written by Daniel John Rigden and published by Springer Science & Business Media. This book was released on 2008-12-11 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proteins lie at the heart of almost all biological processes and have an incredibly wide range of activities. Central to the function of all proteins is their ability to adopt, stably or sometimes transiently, structures that allow for interaction with other molecules. An understanding of the structure of a protein can therefore lead us to a much improved picture of its molecular function. This realisation has been a prime motivation of recent Structural Genomics projects, involving large-scale experimental determination of protein structures, often those of proteins about which little is known of function. These initiatives have, in turn, stimulated the massive development of novel methods for prediction of protein function from structure. Since model structures may also take advantage of new function prediction algorithms, the first part of the book deals with the various ways in which protein structures may be predicted or inferred, including specific treatment of membrane and intrinsically disordered proteins. A detailed consideration of current structure-based function prediction methodologies forms the second part of this book, which concludes with two chapters, focusing specifically on case studies, designed to illustrate the real-world application of these methods. With bang up-to-date texts from world experts, and abundant links to publicly available resources, this book will be invaluable to anyone who studies proteins and the endlessly fascinating relationship between their structure and function.

Computational Methods for Protein Folding, Volume 120

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Publisher : John Wiley & Sons
ISBN 13 : 0471465232
Total Pages : 544 pages
Book Rating : 4.4/5 (714 download)

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Book Synopsis Computational Methods for Protein Folding, Volume 120 by : Richard A. Friesner

Download or read book Computational Methods for Protein Folding, Volume 120 written by Richard A. Friesner and published by John Wiley & Sons. This book was released on 2004-04-07 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the first attempts to model proteins on a computer began almost thirty years ago, our understanding of protein structure and dynamics has dramatically increased. Spectroscopic measurement techniques continue to improve in resolution and sensitivity, allowing a wealth of information to be obtained with regard to the kinetics of protein folding and unfolding, and complementing the detailed structural picture of the folded state. Concurrently, algorithms, software, and computational hardware have progressed to the point where both structural and kinetic problems may be studied with a fair degree of realism. Despite these advances, many major challenges remain in understanding protein folding at both the conceptual and practical levels. Computational Methods for Protein Folding seeks to illuminate recent advances in computational modeling of protein folding in a way that will be useful to physicists, chemists, and chemical physicists. Covering a broad spectrum of computational methods and practices culled from a variety of research fields, the editors present a full range of models that, together, provide a thorough and current description of all aspects of protein folding. A valuable resource for both students and professionals in the field, the book will be of value both as a cutting-edge overview of existing information and as a catalyst for inspiring new studies. Computational Methods for Protein Folding is the 120th volume in the acclaimed series Advances in Chemical Physics, a compilation of scholarly works dedicated to the dissemination of contemporary advances in chemical physics, edited by Nobel Prize-winner Ilya Prigogine.

Ab Initio Protein Tertiary Structure Prediction Using Restricted Ramachandran Geometries and Physio-chemical Potentials

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (595 download)

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Book Synopsis Ab Initio Protein Tertiary Structure Prediction Using Restricted Ramachandran Geometries and Physio-chemical Potentials by : Nicholas Gibbs

Download or read book Ab Initio Protein Tertiary Structure Prediction Using Restricted Ramachandran Geometries and Physio-chemical Potentials written by Nicholas Gibbs and published by . This book was released on 2001 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Textbook Of Structural Biology (Second Edition)

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Publisher : World Scientific
ISBN 13 : 9813142499
Total Pages : 610 pages
Book Rating : 4.8/5 (131 download)

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Book Synopsis Textbook Of Structural Biology (Second Edition) by : Anders Liljas

Download or read book Textbook Of Structural Biology (Second Edition) written by Anders Liljas and published by World Scientific. This book was released on 2016-09-27 with total page 610 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive coverage of the basic principles of structural biology, as well as an up-to-date summary of some main directions of research in the field. The relationship between structure and function is described in detail for soluble proteins, membrane proteins, membranes, and nucleic acids.There are several books covering protein structure and function, but none that give a complete picture, including nucleic acids, lipids, membranes and carbohydrates, all being of central importance in structural biology.The book covers state-of-the-art research in various areas. It is unique for its breadth of coverage by experts in the fields. The book is richly illustrated with more than 400 color figures to highlight the wide range of structures.

The Protein Folding Problem and Tertiary Structure Prediction

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Publisher : Springer Science & Business Media
ISBN 13 : 1468468316
Total Pages : 585 pages
Book Rating : 4.4/5 (684 download)

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Book Synopsis The Protein Folding Problem and Tertiary Structure Prediction by : Kenneth M.Jr. Merz

Download or read book The Protein Folding Problem and Tertiary Structure Prediction written by Kenneth M.Jr. Merz and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 585 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Protein Structure Prediction : A Practical Approach

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Publisher : Oxford University Press, USA
ISBN 13 : 0191588997
Total Pages : 322 pages
Book Rating : 4.1/5 (915 download)

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Book Synopsis Protein Structure Prediction : A Practical Approach by : Michael J. E. Sternberg

Download or read book Protein Structure Prediction : A Practical Approach written by Michael J. E. Sternberg and published by Oxford University Press, USA. This book was released on 1996-11-28 with total page 322 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-dimensional structure of proteins is a key factor in their biological activity. There is an increasing need to be able to predict the structure of a protein once its amino-acid sequence is known; this book presents practical methods of achieving that ambitious aim, using the latest computer modelling algorithms. - ;The prediction of the three-dimensional structure of a protein from its sequence is a problem faced by an ever-increasing number of biological scientists as they strive to utilize genetic information. The increasing sizes of the sequence and structural databases, the improvements in computing power, and the deeper understanding of the principles of protein structure have led to major developments in the field in the last few years. This book presents practical computer-based methods using the latest computer modelling algorithms. -

Protein Structure

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Publisher : Academic Press
ISBN 13 : 1483258971
Total Pages : 320 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Protein Structure by : Harold A. Scheraga

Download or read book Protein Structure written by Harold A. Scheraga and published by Academic Press. This book was released on 2014-07-01 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein Structure deals with the chemistry and physics of biologically important molecules—the proteins—particularly the determination of the structure of various proteins, their thermodynamics, their kinetics, and the mechanisms of different reactions of individual proteins. The book approaches the study of protein structure in two ways: firstly, by determining the general features of protein structure, the overall size, and shape of the molecule; and secondly, by investigating the molecule internally along with the various aspects of the internal configuration of protein molecules. It describes in detail experimental methods for determining protein structure in solution, such as the hydrodynamic method, the thermodynamic optical method, and the electrochemical method. The book then explains the results of experiments carried out on insulin, lysozyme, and ribonuclease. The text notes that the experiments, carried out on native and denatured proteins as well as on derivatives prepared by chemical modification (e.g., by methylation, iodination, acetylation, etc.), can lead to greater understanding of secondary and tertiary structures of proteins of known sequence. The book is suitable for biochemists, micro-biologists, cellular researchers, or investigators involved in protein structure and other biological sciences related to muscle physiologists, geneticists, enzymologists, or immunologists.

Introduction to Protein Structure Prediction

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Publisher : John Wiley & Sons
ISBN 13 : 111809946X
Total Pages : 611 pages
Book Rating : 4.1/5 (18 download)

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Book Synopsis Introduction to Protein Structure Prediction by : Huzefa Rangwala

Download or read book Introduction to Protein Structure Prediction written by Huzefa Rangwala and published by John Wiley & Sons. This book was released on 2011-03-16 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: A look at the methods and algorithms used to predict protein structure A thorough knowledge of the function and structure of proteins is critical for the advancement of biology and the life sciences as well as the development of better drugs, higher-yield crops, and even synthetic bio-fuels. To that end, this reference sheds light on the methods used for protein structure prediction and reveals the key applications of modeled structures. This indispensable book covers the applications of modeled protein structures and unravels the relationship between pure sequence information and three-dimensional structure, which continues to be one of the greatest challenges in molecular biology. With this resource, readers will find an all-encompassing examination of the problems, methods, tools, servers, databases, and applications of protein structure prediction and they will acquire unique insight into the future applications of the modeled protein structures. The book begins with a thorough introduction to the protein structure prediction problem and is divided into four themes: a background on structure prediction, the prediction of structural elements, tertiary structure prediction, and functional insights. Within those four sections, the following topics are covered: Databases and resources that are commonly used for protein structure prediction The structure prediction flagship assessment (CASP) and the protein structure initiative (PSI) Definitions of recurring substructures and the computational approaches used for solving sequence problems Difficulties with contact map prediction and how sophisticated machine learning methods can solve those problems Structure prediction methods that rely on homology modeling, threading, and fragment assembly Hybrid methods that achieve high-resolution protein structures Parts of the protein structure that may be conserved and used to interact with other biomolecules How the loop prediction problem can be used for refinement of the modeled structures The computational model that detects the differences between protein structure and its modeled mutant Whether working in the field of bioinformatics or molecular biology research or taking courses in protein modeling, readers will find the content in this book invaluable.

A Physics-based Energy Function for Ab Initio Protein Structure Prediction and Refinement

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ISBN 13 :
Total Pages : 302 pages
Book Rating : 4.:/5 (35 download)

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Book Synopsis A Physics-based Energy Function for Ab Initio Protein Structure Prediction and Refinement by : Matthew Shihhsiu Lin

Download or read book A Physics-based Energy Function for Ab Initio Protein Structure Prediction and Refinement written by Matthew Shihhsiu Lin and published by . This book was released on 2009 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Genetic Algorithm for Ab Initio Protein Structure Prediction

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Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783659419423
Total Pages : 272 pages
Book Rating : 4.4/5 (194 download)

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Book Synopsis Genetic Algorithm for Ab Initio Protein Structure Prediction by : Hoque Tamjidul

Download or read book Genetic Algorithm for Ab Initio Protein Structure Prediction written by Hoque Tamjidul and published by LAP Lambert Academic Publishing. This book was released on 2013 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Protein is a sequence of amino acids bounded into a linear chain that adopts a specific folded three-dimensional (3D) shape. This specific folded shape enables protein to perform specific tasks. Amongst various available computational methods, the protein structure prediction by the ab initio approach is promising and can help to unravel the relationship between sequence and its associated structure. This book is focused on the ab initio protein structure prediction (PSP), by developing novel Genetic Algorithm (GA) for an efficient and effective conformation search of low resolution models. The book also proposes a novel low resolution model, called hHPNX model providing more accurate predictions compared to the existing low resolution HP models. Extensions of these developed algorithms are very promising for high resolution models.

Protein Structure Prediction

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Publisher : Humana
ISBN 13 : 9781071607107
Total Pages : 358 pages
Book Rating : 4.6/5 (71 download)

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Book Synopsis Protein Structure Prediction by : Daisuke Kihara

Download or read book Protein Structure Prediction written by Daisuke Kihara and published by Humana. This book was released on 2021-07-18 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thorough new edition explores web servers and software for protein structure prediction and modeling that are freely available to the academic community. Taking into account the numerous advances in the computational protein structure prediction/modeling field, the book includes residue-contact prediction via deep learning, a wide variety of protein docking models, as well as cryo-electron microscopy (cryo-EM) techniques. Written by renowned experts in the field and for the highly successful Methods in Molecular Biology series, chapters include the kind of key detail and implementation advice necessary for researchers to achieve optimal results in their own work. Authoritative and fully updated, Protein Structure Prediction, Fourth Edition is a practical and immediately useful guide for biology researchers working toward modeling protein structures./div/div/div/div/div/div/div/div/div/div/div/div/div/div/div/div/divdiv

Residue Contact Prediction in Proteins, Using Evolutionary Information and AB Initio Methods

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ISBN 13 :
Total Pages : 260 pages
Book Rating : 4.:/5 (319 download)

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Book Synopsis Residue Contact Prediction in Proteins, Using Evolutionary Information and AB Initio Methods by : Spyridon Vicatos

Download or read book Residue Contact Prediction in Proteins, Using Evolutionary Information and AB Initio Methods written by Spyridon Vicatos and published by . This book was released on 2007 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Protein Folding in Silico

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Publisher : Elsevier
ISBN 13 : 1908818255
Total Pages : 241 pages
Book Rating : 4.9/5 (88 download)

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Book Synopsis Protein Folding in Silico by : Irena Roterman-Konieczna

Download or read book Protein Folding in Silico written by Irena Roterman-Konieczna and published by Elsevier. This book was released on 2012-10-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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