Download or read book Towards Automating Protein Structure Determination from NMR Data written by Xin Gao and published by . This book was released on 2009 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Computational Development Towards High throughput NMR based Protein Structure Determination written by and published by . This book was released on 2013 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three-dimensional structures of proteins determined in solution by NMR spectroscopy have the unique advantage of revealing details of molecular structure and dynamics in a physiologically relevant state; however, the many tedious steps needed to solve and validate a structure make this method challenging. The barriers to NMR structure determination become higher for larger proteins whose spectra are harder to resolve. It is clear that advances need to be made in automating protein structure determination by NMR spectroscopy. The goal of my research has been to use computational methods to advance the development of high-throughput NMR spectroscopy. Accelerating and streamlining the structure determination process will enable investigators to spend less time solving structures and more time investigating challenging biomolecular systems. My goals have been to develop an automation protocol that integrates multiple steps, ensures the robustness of each step, incorporates iterative corrections, and includes visualization tools to validate and extend the results. I developed PINE-SPARKY as a graphical interface for checking and extending automated assignments made by the PINE-NMR server. ADAPT-NMR directs fast data collection by reduced dimensionality on the basis of ongoing NMR assignments. I helped develop a version of ADAPT-NMR (originally only for Varian spectrometers) for Bruker spectrometers, and I created ADAPT-NMR Enhancer as a visualization tool for validating and extending assignments made by ADAPT-NMR on either spectrometer system. I developed the PONDEROSA package to automate the next steps. PONDEROSA carries out automatic picking of 3D-NOESY peaks and iterative structure determinations with the protein sequence and the assignments as inputs. These automation and visualization tools cover almost all of the steps involved in protein structure determination by NMR spectroscopy. As a practical test of this technology, I solved the structure of the 2A proteinase from the human rhinovirus. As a side project, I built a relational database (PACSY DB) that combines information from the Protein Data Bank (PDB) and the Biological Magnetic Resonance data Bank (BMRB) and incorporates tools for structure analysis. PACSY DB can carry out complex queries that combine atomic coordinates, NMR parameters, and structural features of proteins.

Download or read book A Probabilistic Approach to the Automation of NMR Protein Structure Determination written by Arash Bahrami and published by . This book was released on 2009 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Protein NMR Techniques written by A. Kristina Downing and published by Springer Science & Business Media. This book was released on 2008-02-03 with total page 494 pages. Available in PDF, EPUB and Kindle. Book excerpt: When I was asked to edit the second edition of Protein NMR Techniques, my first thought was that the time was ripe for a new edition. The past several years have seen a surge in the development of novel methods that are truly revolutionizing our ability to characterize biological macromolecules in terms of speed, accuracy, and size limitations. I was particularly excited at the prospect of making these techniques accessible to all NMR labs and for the opportunity to ask the experts to divulge their hints and tips and to write, practically, about the methods. I commissioned 19 chapters with wide scope for Protein NMR Techniques, and the volume has been organized with numerous themes in mind. Chapters 1 and 2 deal with recombinant protein expression using two organisms, E. coli and P. pastoris, that can produce high yields of isotopically labeled protein at a reasonable cost. Staying with the idea of isotopic labeling, Chapter 3 describes methods for perdeuteration and site-specific protonation and is the first of several chapters in the book that is relevant to studies of higher molecular weight systems. A different, but equally powerful, method that uses molecular biology to “edit” the spectrum of a large molecule using segmental labeling is presented in Chapter 4. Having successfully produced a high molecular weight target for study, the next logical step is data acquisition. Hence, the final chapter on this theme, Chapter 5, describes TROSY methods for stru- ural studies.

Download or read book New Approaches to Protein NMR Automation written by Babak Alipanahi Ramandi and published by . This book was released on 2011 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-dimensional structure of a protein molecule is the key to understanding its biological and physiological properties. A major problem in bioinformatics is to efficiently determine the three-dimensional structures of query proteins. Protein NMR structure de- termination is one of the main experimental methods and is comprised of: (i) protein sample production and isotope labelling, (ii) collecting NMR spectra, and (iii) analysis of the spectra to produce the protein structure. In protein NMR, the three-dimensional struc- ture is determined by exploiting a set of distance restraints between spatially proximate atoms. Currently, no practical automated protein NMR method exists that is without human intervention. We first propose a complete automated protein NMR pipeline, which can efficiently be used to determine the structures of moderate sized proteins. Second, we propose a novel and efficient semidefinite programming-based (SDP) protein structure determination method. The proposed automated protein NMR pipeline consists of three modules: (i) an automated peak picking method, called PICKY, (ii) a backbone chemical shift assign- ment method, called IPASS, and (iii) a protein structure determination method, called FALCON-NMR. When tested on four real protein data sets, this pipeline can produce structures with reasonable accuracies, starting from NMR spectra. This general method can be applied to other macromolecule structure determination methods. For example, a promising application is RNA NMR-assisted secondary structure determination. In the second part of this thesis, due to the shortcomings of FALCON-NMR, we propose a novel SDP-based protein structure determination method from NMR data, called SPROS. Most of the existing prominent protein NMR structure determination methods are based on molecular dynamics coupled with a simulated annealing schedule. In these methods, an objective function representing the error between observed and given distance restraints is minimized; these objective functions are highly non-convex and difficult to optimize. Euclidean distance geometry methods based on SDP provide a natural formulation for realizing a three-dimensional structure from a set of given distance constraints. However, the complexity of the SDP solvers increases cubically with the input matrix size, i.e., the number of atoms in the protein, and the number of constraints. In fact, the complexity of SDP solvers is a major obstacle in their applicability to the protein NMR problem. To overcome these limitations, the SPROS method models the protein molecule as a set of intersecting two- and three-dimensional cliques. We adapt and extend a technique called semidefinite facial reduction for the SDP matrix size reduction, which makes the SDP problem size approximately one quarter of the original problem. The reduced problem is solved nearly one hundred times faster and is more robust against numerical problems. Reasonably accurate results were obtained when SPROS was applied to a set of 20 real protein data sets.

Download or read book Structure Computation and Dynamics in Protein NMR written by N. Rama Krishna and published by Springer Science & Business Media. This book was released on 2006-05-09 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: Volume 17 is the second in a special topic series devoted to modern techniques in protein NMR, under the Biological Magnetic Resonance series. Volume 16, with the subtitle Modern Techniques in Protein NMR , is the first in this series. These two volumes present some of the recent, significant advances in the biomolecular NMR field with emphasis on developments during the last five years. We are honored to have brought together in these volume some of the world s foremost experts who have provided broad leadership in advancing this field. Volume 16 contains - vances in two broad categories: I. Large Proteins, Complexes, and Membrane Proteins and II. Pulse Methods. Volume 17 contains major advances in: I. Com- tational Methods and II. Structure and Dynamics. The opening chapter of volume 17 starts with a consideration of some important aspects of modeling from spectroscopic and diffraction data by Wilfred van Gunsteren and his colleagues. The next two chapters deal with combined automated assignments and protein structure determination, an area of intense research in many laboratories since the traditional manual methods are often inadequate or laborious in handling large volumes of NMR data on large proteins. First, Werner Braun and his associates describe their experience with the NOAH/DIAMOD protocol developed in their laboratory.

Download or read book New Methods for Automated NMR Data Analysis and Protein Structure Determination written by Felician Dancea and published by . This book was released on 2004 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Biological NMR Spectroscopy written by John L. Markley and published by Oxford University Press. This book was released on 1997-01-30 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a critical assessment of progress on the use of nuclear magnetic resonance spectroscopy to determine the structure of proteins, including brief reviews of the history of the field along with coverage of current clinical and in vivo applications. The book, in honor of Oleg Jardetsky, one of the pioneers of the field, is edited by two of the most highly respected investigators using NMR, and features contributions by most of the leading workers in the field. It will be valued as a landmark publication that presents the state-of-the-art perspectives regarding one of today's most important technologies.

Download or read book Protein NMR Spectroscopy written by Lu-Yun Lian and published by John Wiley & Sons. This book was released on 2011-08-08 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nuclear Magnetic Resonance (NMR) spectroscopy, a physical phenomenon based upon the magnetic properties of certain atomic nuclei, has found a wide range of applications in life sciences over recent decades. This up-to-date volume covers NMR techniques and their application to proteins, with a focus on practical details. Providing newcomers to NMR with practical guidance to carry out successful experiments with proteins and analyze the resulting spectra, those familiar with the chemical applications of NMR will also find it useful in understanding the special requirements of protein NMR.

Download or read book Automated Determination of Protein Structures from NMR Data by Iterative Analysis of Self consistent Contact Patterns written by Yuanpeng Janet Huang and published by . This book was released on 2001 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book New Approaches for Automated Protein NMR Structure Determination Based on Experimental NOESY Spectra written by Torsten Herrmann and published by . This book was released on 2002 with total page 113 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Automated Sequential Resonance Assignment in NMR Protein Structure Determination written by Xiang Wan and published by . This book was released on 2006 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Protein Structure and Engineering written by O. Jardetsky and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Proceedings of the Tenth Course of the International School of Pure and Applied Biostructure (Erice, Italy, June 1989). Knowledge of protein structure and of design and manufacture methods has made it possible to produce proteins of any desired sequence, but progress is limited by inability to predi

Download or read book Structural Biology in Drug Discovery written by Jean-Paul Renaud and published by John Wiley & Sons. This book was released on 2020-01-09 with total page 1367 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the most comprehensive and up-to-date overview of structure-based drug discovery covering both experimental and computational approaches, Structural Biology in Drug Discovery: Methods, Techniques, and Practices describes principles, methods, applications, and emerging paradigms of structural biology as a tool for more efficient drug development. Coverage includes successful examples, academic and industry insights, novel concepts, and advances in a rapidly evolving field. The combined chapters, by authors writing from the frontlines of structural biology and drug discovery, give readers a valuable reference and resource that: Presents the benefits, limitations, and potentiality of major techniques in the field such as X-ray crystallography, NMR, neutron crystallography, cryo-EM, mass spectrometry and other biophysical techniques, and computational structural biology Includes detailed chapters on druggability, allostery, complementary use of thermodynamic and kinetic information, and powerful approaches such as structural chemogenomics and fragment-based drug design Emphasizes the need for the in-depth biophysical characterization of protein targets as well as of therapeutic proteins, and for a thorough quality assessment of experimental structures Illustrates advances in the field of established therapeutic targets like kinases, serine proteinases, GPCRs, and epigenetic proteins, and of more challenging ones like protein-protein interactions and intrinsically disordered proteins

Download or read book Precise and Accurate Structural Genomics Protein Structure Determination Using RD and GFT NMR Spectroscopy written by and published by . This book was released on 2006 with total page 161 pages. Available in PDF, EPUB and Kindle. Book excerpt: Nuclear magnetic resonance (NMR) has emerged as a powerful tool for determining three-dimensional structures of proteins in solution. The major part of this dissertation describes the efforts to deal with the core steps involved in NMR-base protein structure determination: NMR data collection, NMR data analysis, structure calculation and refinement. NMR data collection has been recognized as one of the major bottlenecks of NMR-base structure determination due to the necessarily long time. Chapter 2 and 3 describe two NMR data collection and analysis protocols for high-quality protein structure determination based on Reduced Dimensionality (RD) and G-matrix Fourier transform (GFT) NMR, respectively. The rapidly collected RD & GFT NMR data enabled high-quality structure determination of four structural genomics target proteins in high-throughput. Chapter 5 introduces the program UBNMR which was developed to facilitate NMR data analysis in general and RD & GFT NMR data pre-processing and data analysis in particular. RD and GFT NMR based protocols, with the aid of UBNMR, are expected to greatly impact on the NMR-based structural biology and structural genomics. In addition to rapid NMR data collection and analysis, structure calculation and refinement are also pivotal for obtaining the high-quality protein structures. Chapter 5 describes the analysis of the newly implemented simultaneous GFT NOESY to obtain an accurate and precise initial structural fold. Chapter 6 presents a protein structure refinement strategy using NOE data collected in supercooled water at low temperatures.

Download or read book Computational Aspects of the Study of Biological Macromolecules by Nuclear Magnetic Resonance Spectroscopy written by Jeffrey C. Hoch and published by Springer. This book was released on 1991 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Without computers - no modern NMR; Parametric estimation in 1-D, 2-D, and 3-D NMR; Computational aspects of multinuclear NMR spectroscopy of proteins at NMRFAM; Principles of multidimensional NMR techniques for measurement of J coupling constants; Comparison of the NMR and X-ray structures of hirudin; The application of the linear prediction principle to NMR spectroscopy; NMR data processing and structure calculations using parallel computers; Software approaches for determination of 3-dimensional molecular structures from multi-dimensional NMR; Applicability and limitations of three-dimensional NMR spectroscopy for the study of proteins in solution; The role of selective two-dimensional NMR correlation methods in supplementing computer-supported multiplet analysis by MARCO POLO; Application of maximum entropy methods to NMR spectra of proteins; Pattern recognition in two-dimensional NMR spectra of proteins; The application and development of software tools for the processinf and analysis of heteronuclear multi-dimensional NMR data; Distance geometry in torsion angle space: new developments and applications; Structure determination by NMR: the modeling of NMR parameters as ensemble averages; Time averaged distance restraints in NMR based structural refinement; Analysis of backbone dynamics of interleukin-1 beta; A new version of DADAS (Distance Analysis in Dihedral Angle Space) and its performance; An amateur looks at error analysis in the determination of protein structure by NMR; Structural interpretation of NMR data in the presence of motion; New interactive and automatic algorithms for the assignment of NMR spectra; Outline of a computer program for the analysis of protein NMR spectra; Assignment of the NMR spectra of homologous proteins; Incorporation of internal motion in NMR refinements based on NOESY data; Refinement of three-dimensional protein and DNA structures in solution from NMR data; How to deal with spin-diffusion and internal mobility in biomolecules: a relaxation matrix approach; Interactive computer graphics in the assignment of protein 2D and 3D NMR spectra; Determination of large protein structures from NMR data: definition of the solution structure of the TRP repressor; Interpretation of NMR data in terms of protein structure: summary of a round table discussion; Fast calculation of the relaxation matrix; NMR structures of proteins using stereospecific assignments and relaxation matrix refinement in a hybrid method of distance geometry and simulated annealing; A critique of the interpretation of nuclear Overhauser effects of duplex DNA; Improvement in resolution with nonlinear methods applied to NMR signals from macromolecules; STELLA and CLAIRE: a seraglio of programs for human-aided assignment of 2D 1H NMR spectra of proteins; MolSkop: towards NMR molecular scope; Ribonuclease H: full assignment of backbone proton resonances with heteronuclear 3D NMR and solution structure; Sampling properties of simulated annealing and distance geometry.

Download or read book Development and Application of Methodology for Rapid NMR Data Collection and Protein Structure Determination written by David Michael Parish and published by . This book was released on 2008 with total page 127 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis focuses on the development and application of methodology for rapid NMR data collection and protein structure determination. In chapter 1, simultaneously cycled (SC) NMR is introduced and exemplified by implementing without readout gradients a set of 2D [1 H, 1 H] SC Exclusive COSY (E. COSY) NMR experiments and with readout gradients a 2D [1 H, 1 H] double quantum filtered (DQF) COSY experiment. Spatially selective 1 H r.f. pulses are applied as composite pulses such that n steps of the respective cycles are effected simultaneously in n slices of the sample, thus reducing total acquisition time by a factor of n. In chapter 2, the structure of the 142-residue protein Q8ZP25_SALTY encoded in the genome of Salmonella typhimurium (NESG target StR70) was determined by NMR, refined using residual dipolar coupling constraints and compared to the X-ray structure of Q8ZP25_SALTY and the NMR structure of homologous protein HYAE_ECOLI. Protein Q8ZP25_SALTY belongs to Pfam PF07449, which itself belongs to the 'thioredoxin-like clan'. However, protein Q8ZP25_SALTY and the other proteins of Pfam PF07449, do not contain the Cys-X-X-Cys active site sequence motif of thioredoxin. The structures presented here exhibit the expected thioredoxin-like fold and support biochemical data suggesting that members of Pfam family PF07449 specifically interact with Tat signal peptides involved in hydrogenase assembly. In chapter 3, the development of a hardware and software infrastructure designed specifically to support high throughput NMR protein structure determination for structural genomics is described. In addition, a "consensus run" protocol is detailed which uses common results from two disparate programs for automated NMR structure determination, namely, CYANA and AUTOSTRUCTURE, to minimize errors in initial NOESY peak assignments. The high throughput infrastructure and consensus run have supported the determination of 47 protein structures to date. Finally, in chapter 4, the relaxation agent and gadolinium chelate gadoversetamide is used to affect the T 1 and T 2 relaxation times of amide and methyl protons in proteins in aqueous solution so as to map protein surfaces. The protocol is explored to distinguish surface and buried residues in order to identify homo-dimer interfaces.