Author: Henrik Bohr
Publisher: IOS Press
ISBN: 9784274022630
Category : Distance geometry
Languages : en
Pages : 364
Book Description
Protein Structure by Distance Analysis
Author: Henrik Bohr
Publisher: IOS Press
ISBN: 9784274022630
Category : Distance geometry
Languages : en
Pages : 364
Book Description
Publisher: IOS Press
ISBN: 9784274022630
Category : Distance geometry
Languages : en
Pages : 364
Book Description
Protein Structure by Distance Analysis
Author: Henrik Bohr
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 366
Book Description
Introduction (Henrik Bohr and Soren Brunak). Protein structure prediction (Shankar Subramaniam). Structures from X-Ray Crystallography illustrated by proteins with prosthetic groups (Sine Larsen, Anders Kadziola and Jens F. W. Petersen). Function and three-dimensional structure odf proteins using nuclear magnetic resonance spectroscopy (Flemming M. Poulsen). Experimental aspects of ultr-violet and circular dichroism methods for protein folding (Hans E. M. Christensen, Jan M. Hammerstad-Pedersen, arne Holm, Gitte Iversen and Jens Ulstrup). Probing protein structure by solvent perturbation of NMR spectra: III. Combination of experiment and theory (Gennaro esposito, Arthur M. Lesk, Henriette Molinari Andrea Motta, Neri Niccolai and Annalisa Pastore). Comparative protein modeling by satisfaction of spatial restraints (Andrej Sali and Tom Blundell). Recurrent Neural Networks for protein distance matrix prediction (Martin Reczko and Henrik Bohr). Growth of domains in distance geometry through protein folding (Henry Bohr, Jin Wang and Peter Wolynes). Predictive power of mean force pair potentials (Manfred J. Sippl and Markus Jaritz). Optimized energy functions for tertiary structure prediction and recognition (Richard A. Goldstein, Zan A. Luthey-Schulten and Peter G. Wolynes). Prediction of 3D structures of globular proteins based on self-consistent molecular field theory (Alexei V. Finkelstein, Rumen A. Dimitrov, Aza Ya, Badretdinov and Boris A. Reva). A potential function that identifies correct protein folds (Gordon M. Crippen and Vladimir N. Maiorov). Genetic algorithm codings used in protein structure prediction by energy minimization (Frank Hermann). Super-secondary structures in proteins (Alexander V. Efimov). Design of model fast-folding proteins (Eugene I. Shakhnovich). Modelling and predicting protein structure using distance geometry (Willian R. taylor and András Aszódi). Modelling secondary structure formation by distance geometry techniques (András Aszódi and Willian R. taylor). A library of signature pentapeptides for the protein data bank (Ikuo Uchiyama, Atsushi Ogiwara, and Minoru Kanehisa). Glycosylation and protein conformation ( Jan E. Hansen, Ole Lund, Khistoffer Rapacki, Henrik Clausen, Erik Mosekilde, Jens O. Nielsen and John-Erik S. Hansen). 1D secondary structure prediction through evolutionary profiles (Burkhard Rost and Chris Sander). Fold-class prediction by neural network (Martin Reczko, Henrik Bohr, Shankar Subramaniam, Sudhakar Pamidighantam and Artemis Hatzigeorgiou). Distance-based approaches to protein structure-function analysis (Michael N. Liebman). Quantification odf secondary structure prediction improvement using distantly related proteins (Jonathan M. Levin, Steffano Pascarella, Patrick Argos and Jean Garnier). Delineating the mainchain topology of four-helix bundle proteins using the genetic algorithm and knowledge based on the amino acid sequence alone ( Patrick Argos and Thomas Dandekar). Correlation between protein secondary structure and the nRNA nucleotide sequence (Soren Brunak, Jacob Engelbrecht and Can Kesmir).
Publisher:
ISBN:
Category : Mathematics
Languages : en
Pages : 366
Book Description
Introduction (Henrik Bohr and Soren Brunak). Protein structure prediction (Shankar Subramaniam). Structures from X-Ray Crystallography illustrated by proteins with prosthetic groups (Sine Larsen, Anders Kadziola and Jens F. W. Petersen). Function and three-dimensional structure odf proteins using nuclear magnetic resonance spectroscopy (Flemming M. Poulsen). Experimental aspects of ultr-violet and circular dichroism methods for protein folding (Hans E. M. Christensen, Jan M. Hammerstad-Pedersen, arne Holm, Gitte Iversen and Jens Ulstrup). Probing protein structure by solvent perturbation of NMR spectra: III. Combination of experiment and theory (Gennaro esposito, Arthur M. Lesk, Henriette Molinari Andrea Motta, Neri Niccolai and Annalisa Pastore). Comparative protein modeling by satisfaction of spatial restraints (Andrej Sali and Tom Blundell). Recurrent Neural Networks for protein distance matrix prediction (Martin Reczko and Henrik Bohr). Growth of domains in distance geometry through protein folding (Henry Bohr, Jin Wang and Peter Wolynes). Predictive power of mean force pair potentials (Manfred J. Sippl and Markus Jaritz). Optimized energy functions for tertiary structure prediction and recognition (Richard A. Goldstein, Zan A. Luthey-Schulten and Peter G. Wolynes). Prediction of 3D structures of globular proteins based on self-consistent molecular field theory (Alexei V. Finkelstein, Rumen A. Dimitrov, Aza Ya, Badretdinov and Boris A. Reva). A potential function that identifies correct protein folds (Gordon M. Crippen and Vladimir N. Maiorov). Genetic algorithm codings used in protein structure prediction by energy minimization (Frank Hermann). Super-secondary structures in proteins (Alexander V. Efimov). Design of model fast-folding proteins (Eugene I. Shakhnovich). Modelling and predicting protein structure using distance geometry (Willian R. taylor and András Aszódi). Modelling secondary structure formation by distance geometry techniques (András Aszódi and Willian R. taylor). A library of signature pentapeptides for the protein data bank (Ikuo Uchiyama, Atsushi Ogiwara, and Minoru Kanehisa). Glycosylation and protein conformation ( Jan E. Hansen, Ole Lund, Khistoffer Rapacki, Henrik Clausen, Erik Mosekilde, Jens O. Nielsen and John-Erik S. Hansen). 1D secondary structure prediction through evolutionary profiles (Burkhard Rost and Chris Sander). Fold-class prediction by neural network (Martin Reczko, Henrik Bohr, Shankar Subramaniam, Sudhakar Pamidighantam and Artemis Hatzigeorgiou). Distance-based approaches to protein structure-function analysis (Michael N. Liebman). Quantification odf secondary structure prediction improvement using distantly related proteins (Jonathan M. Levin, Steffano Pascarella, Patrick Argos and Jean Garnier). Delineating the mainchain topology of four-helix bundle proteins using the genetic algorithm and knowledge based on the amino acid sequence alone ( Patrick Argos and Thomas Dandekar). Correlation between protein secondary structure and the nRNA nucleotide sequence (Soren Brunak, Jacob Engelbrecht and Can Kesmir).
Molecular Biology of the Cell
Author:
Publisher:
ISBN: 9780815332183
Category : Cells
Languages : en
Pages : 0
Book Description
Publisher:
ISBN: 9780815332183
Category : Cells
Languages : en
Pages : 0
Book Description
Constrained Optimization and Lagrange Multiplier Methods
Author: Dimitri P. Bertsekas
Publisher: Academic Press
ISBN: 148326047X
Category : Mathematics
Languages : en
Pages : 412
Book Description
Computer Science and Applied Mathematics: Constrained Optimization and Lagrange Multiplier Methods focuses on the advancements in the applications of the Lagrange multiplier methods for constrained minimization. The publication first offers information on the method of multipliers for equality constrained problems and the method of multipliers for inequality constrained and nondifferentiable optimization problems. Discussions focus on approximation procedures for nondifferentiable and ill-conditioned optimization problems; asymptotically exact minimization in the methods of multipliers; duality framework for the method of multipliers; and the quadratic penalty function method. The text then examines exact penalty methods, including nondifferentiable exact penalty functions; linearization algorithms based on nondifferentiable exact penalty functions; differentiable exact penalty functions; and local and global convergence of Lagrangian methods. The book ponders on the nonquadratic penalty functions of convex programming. Topics include large scale separable integer programming problems and the exponential method of multipliers; classes of penalty functions and corresponding methods of multipliers; and convergence analysis of multiplier methods. The text is a valuable reference for mathematicians and researchers interested in the Lagrange multiplier methods.
Publisher: Academic Press
ISBN: 148326047X
Category : Mathematics
Languages : en
Pages : 412
Book Description
Computer Science and Applied Mathematics: Constrained Optimization and Lagrange Multiplier Methods focuses on the advancements in the applications of the Lagrange multiplier methods for constrained minimization. The publication first offers information on the method of multipliers for equality constrained problems and the method of multipliers for inequality constrained and nondifferentiable optimization problems. Discussions focus on approximation procedures for nondifferentiable and ill-conditioned optimization problems; asymptotically exact minimization in the methods of multipliers; duality framework for the method of multipliers; and the quadratic penalty function method. The text then examines exact penalty methods, including nondifferentiable exact penalty functions; linearization algorithms based on nondifferentiable exact penalty functions; differentiable exact penalty functions; and local and global convergence of Lagrangian methods. The book ponders on the nonquadratic penalty functions of convex programming. Topics include large scale separable integer programming problems and the exponential method of multipliers; classes of penalty functions and corresponding methods of multipliers; and convergence analysis of multiplier methods. The text is a valuable reference for mathematicians and researchers interested in the Lagrange multiplier methods.
Textbook Of Structural Biology (Second Edition)
Author: Anders Liljas
Publisher: World Scientific
ISBN: 9813142499
Category : Science
Languages : en
Pages : 610
Book Description
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.
Publisher: World Scientific
ISBN: 9813142499
Category : Science
Languages : en
Pages : 610
Book Description
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.
Protein Structure Prediction
Author: Mohammed Zaki
Publisher: Springer Science & Business Media
ISBN: 1588297527
Category : Science
Languages : en
Pages : 338
Book Description
This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners.
Publisher: Springer Science & Business Media
ISBN: 1588297527
Category : Science
Languages : en
Pages : 338
Book Description
This book covers elements of both the data-driven comparative modeling approach to structure prediction and also recent attempts to simulate folding using explicit or simplified models. Despite the unsolved mystery of how a protein folds, advances are being made in predicting the interactions of proteins with other molecules. Also rapidly advancing are the methods for solving the inverse folding problem, the problem of finding a sequence to fit a structure. This book focuses on the various computational methods for prediction, their successes and their limitations, from the perspective of their most well known practitioners.
Statistics for Research
Author: Shirley Dowdy
Publisher: John Wiley & Sons
ISBN: 0471477427
Category : Mathematics
Languages : en
Pages : 646
Book Description
Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."—The UMAP Journal Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it possible for today's statisticians to do more in less time than ever before. The Third Edition of this bestselling text reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. Based on extensive input from university statistics departments throughout the country, the authors have made several important and timely revisions, including: Additional material on probability appears early in the text New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression New examples and exercises, many from the field of the health sciences Printouts of computer analyses on all complex procedures An accompanying Web site illustrating how to use SAS® and JMP® for all procedures The text features the most commonly used statistical techniques for the analysis of research data. As in the earlier editions, emphasis is placed on how to select the proper statistical procedure and how to interpret results. Whenever possible, to avoid using the computer as a "black box" that performs a mysterious process on the data, actual computational procedures are also given. A must for scientists who analyze data, professionals and researchers who need a self-teaching text, and graduate students in statistical methods, Statistics for Research, Third Edition brings the methodology up to date in a very practical and accessible way.
Publisher: John Wiley & Sons
ISBN: 0471477427
Category : Mathematics
Languages : en
Pages : 646
Book Description
Praise for the Second Edition "Statistics for Research has other fine qualities besides superior organization. The examples and the statistical methods are laid out with unusual clarity by the simple device of using special formats for each. The book was written with great care and is extremely user-friendly."—The UMAP Journal Although the goals and procedures of statistical research have changed little since the Second Edition of Statistics for Research was published, the almost universal availability of personal computers and statistical computing application packages have made it possible for today's statisticians to do more in less time than ever before. The Third Edition of this bestselling text reflects how the changes in the computing environment have transformed the way statistical analyses are performed today. Based on extensive input from university statistics departments throughout the country, the authors have made several important and timely revisions, including: Additional material on probability appears early in the text New sections on odds ratios, ratio and difference estimations, repeated measure analysis, and logistic regression New examples and exercises, many from the field of the health sciences Printouts of computer analyses on all complex procedures An accompanying Web site illustrating how to use SAS® and JMP® for all procedures The text features the most commonly used statistical techniques for the analysis of research data. As in the earlier editions, emphasis is placed on how to select the proper statistical procedure and how to interpret results. Whenever possible, to avoid using the computer as a "black box" that performs a mysterious process on the data, actual computational procedures are also given. A must for scientists who analyze data, professionals and researchers who need a self-teaching text, and graduate students in statistical methods, Statistics for Research, Third Edition brings the methodology up to date in a very practical and accessible way.
Prediction of Protein Structure and the Principles of Protein Conformation
Author: G.D. Fasman
Publisher: Springer Science & Business Media
ISBN: 1461315719
Category : Science
Languages : en
Pages : 796
Book Description
The prediction of the conformation of proteins has developed from an intellectual exercise into a serious practical endeavor that has great promise to yield new stable enzymes, products of pharmacological significance, and catalysts of great potential. With the application of predic tion gaining momentum in various fields, such as enzymology and immunology, it was deemed time that a volume be published to make available a thorough evaluation of present methods, for researchers in this field to expound fully the virtues of various algorithms, to open the field to a wider audience, and to offer the scientific public an opportunity to examine carefully its successes and failures. In this manner the practitioners of the art could better evaluate the tools and the output so that their expectations and applications could be more realistic. The editor has assembled chapters by many of the main contributors to this area and simultaneously placed their programs at three national resources so that they are readily available to those who wish to apply them to their personal interests. These algorithms, written by their originators, when utilized on pes or larger computers, can instantaneously take a primary amino acid sequence and produce a two-or three-dimensional artistic image that gives satisfaction to one's esthetic sensibilities and food for thought concerning the structure and function of proteins. It is in this spirit that this volume was envisaged.
Publisher: Springer Science & Business Media
ISBN: 1461315719
Category : Science
Languages : en
Pages : 796
Book Description
The prediction of the conformation of proteins has developed from an intellectual exercise into a serious practical endeavor that has great promise to yield new stable enzymes, products of pharmacological significance, and catalysts of great potential. With the application of predic tion gaining momentum in various fields, such as enzymology and immunology, it was deemed time that a volume be published to make available a thorough evaluation of present methods, for researchers in this field to expound fully the virtues of various algorithms, to open the field to a wider audience, and to offer the scientific public an opportunity to examine carefully its successes and failures. In this manner the practitioners of the art could better evaluate the tools and the output so that their expectations and applications could be more realistic. The editor has assembled chapters by many of the main contributors to this area and simultaneously placed their programs at three national resources so that they are readily available to those who wish to apply them to their personal interests. These algorithms, written by their originators, when utilized on pes or larger computers, can instantaneously take a primary amino acid sequence and produce a two-or three-dimensional artistic image that gives satisfaction to one's esthetic sensibilities and food for thought concerning the structure and function of proteins. It is in this spirit that this volume was envisaged.
Modelling Extremal Events
Author: Paul Embrechts
Publisher: Springer Science & Business Media
ISBN: 3642334830
Category : Business & Economics
Languages : en
Pages : 657
Book Description
"A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions...and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists." --MATHEMATICAL REVIEWS
Publisher: Springer Science & Business Media
ISBN: 3642334830
Category : Business & Economics
Languages : en
Pages : 657
Book Description
"A reader's first impression on leafing through this book is of the large number of graphs and diagrams, used to illustrate shapes of distributions...and to show real data examples in various ways. A closer reading reveals a nice mix of theory and applications, with the copious graphical illustrations alluded to. Such a mixture is of course dear to the heart of the applied probabilist/statistician, and should impress even the most ardent theorists." --MATHEMATICAL REVIEWS
Computational Structural Biology
Author: Torsten Schwede
Publisher: World Scientific
ISBN: 9812778780
Category : Science
Languages : en
Pages : 790
Book Description
This is a comprehensive introduction to Landau-Lifshitz equations and Landau-Lifshitz-Maxwell equations, beginning with the work by Yulin Zhou and Boling Guo in the early 1980s and including most of the work done by this Chinese group led by Zhou and Guo since. The book focuses on aspects such as the existence of weak solutions in multi dimensions, existence and uniqueness of smooth solutions in one dimension, relations with harmonic map heat flows, partial regularity and long time behaviors. The book is a valuable reference book for those who are interested in partial differential equations, geometric analysis and mathematical physics. It may also be used as an advanced textbook by graduate students in these fields.
Publisher: World Scientific
ISBN: 9812778780
Category : Science
Languages : en
Pages : 790
Book Description
This is a comprehensive introduction to Landau-Lifshitz equations and Landau-Lifshitz-Maxwell equations, beginning with the work by Yulin Zhou and Boling Guo in the early 1980s and including most of the work done by this Chinese group led by Zhou and Guo since. The book focuses on aspects such as the existence of weak solutions in multi dimensions, existence and uniqueness of smooth solutions in one dimension, relations with harmonic map heat flows, partial regularity and long time behaviors. The book is a valuable reference book for those who are interested in partial differential equations, geometric analysis and mathematical physics. It may also be used as an advanced textbook by graduate students in these fields.