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PROSESS
Protein Structure Evaluation Suite & Server (PROSESS) is a freely available web server for protein structure validation. It has been designed at the University of Alberta to assist with the process of evaluating and validating protein structures solved by NMR spectroscopy. Structure validation Structure validation is a particularly important component of the structure determination pipeline as many protein structures have small structural errors (i.e. distorted bond lengths or angles, incompatible torsion angles, overlapping atoms) that are not easily detected by visual inspection. For protein structures solved by NMR spectroscopy, where large numbers of structures are generated and where coordinate inaccuracies are common, this problem is particularly acute. Methodology Most NMR-based structure validation protocols primarily use NOE ( Nuclear Overhauser Enhancement), J-coupling or residual dipolar coupling ( RDC ) data to assess or validate structures. In particular, they ...
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PROSESS Input Entry Page
Protein Structure Evaluation Suite & Server (PROSESS) is a freely available web server for protein structure validation. It has been designed at the University of Alberta to assist with the process of evaluating and validating protein structures solved by NMR spectroscopy. Structure validation Structure validation is a particularly important component of the structure determination pipeline as many protein structures have small structural errors (i.e. distorted bond lengths or angles, incompatible torsion angles, overlapping atoms) that are not easily detected by visual inspection. For protein structures solved by NMR spectroscopy, where large numbers of structures are generated and where coordinate inaccuracies are common, this problem is particularly acute. Methodology Most NMR-based structure validation protocols primarily use NOE ( Nuclear Overhauser Enhancement), J-coupling or residual dipolar coupling ( RDC ) data to assess or validate structures. In particular, the ...
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PROSESS Main Report Page
Protein Structure Evaluation Suite & Server (PROSESS) is a freely available web server for protein structure validation. It has been designed at the University of Alberta to assist with the process of Structure validation, evaluating and validating protein structures solved by NMR spectroscopy. Structure validation Structure validation is a particularly important component of the structure determination pipeline as many protein structures have small structural errors (i.e. distorted bond lengths or angles, incompatible torsion angles, overlapping atoms) that are not easily detected by visual inspection. For protein structures solved by NMR spectroscopy, where large numbers of structures are generated and where coordinate inaccuracies are common, this problem is particularly acute. Methodology Most NMR-based structure validation protocols primarily use NOE (Nuclear Overhauser effect, Nuclear Overhauser Enhancement), J-coupling or residual dipolar coupling (Residual dipolar c ...
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Structure Validation
Macromolecular structure validation is the process of evaluating reliability for 3-dimensional atomic models of large biological molecules such as proteins and nucleic acids. These models, which provide 3D coordinates for each atom in the molecule (see example in the image), come from structural biology experiments such as x-ray crystallography or nuclear magnetic resonance (NMR). The validation has three aspects: 1) checking on the validity of the thousands to millions of measurements in the experiment; 2) checking how consistent the atomic model is with those experimental data; and 3) checking consistency of the model with known physical and chemical properties. Proteins and nucleic acids are the workhorses of biology, providing the necessary chemical reactions, structural organization, growth, mobility, reproduction, and environmental sensitivity. Essential to their biological functions are the detailed 3D structures of the molecules and the changes in those structures. To und ...
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VADAR
Volume, Area, Dihedral Angle Reporter (VADAR) is a freely available protein structure validation web server that was developed as a collaboration between Dr. Brian Sykes and Dr. David Wishart at the University of Alberta. VADAR consists of over 15 different algorithms and programs for assessing and validating peptide and protein structures from their PDB coordinate data. VADAR is capable of determining secondary structure (using three different algorithms), identifying and classifying six different types of beta turns, determining and calculating the strength of C=O -- N-H hydrogen bonds, calculating residue-specific accessible surface areas (ASA), calculating residue volumes, determining backbone and side chain torsion angles (phi, psi, omega and chi angles), assessing local structure quality (through numerous quality indices), evaluating global structure quality, and identifying residue "outliers" (residues with unusual structural features). The results have been validated th ...
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University Of Alberta
The University of Alberta, also known as U of A or UAlberta, is a public research university located in Edmonton, Alberta, Canada. It was founded in 1908 by Alexander Cameron Rutherford,"A Gentleman of Strathcona – Alexander Cameron Rutherford", Douglas R. Babcock, 1989, The University of Calgary Press, 2500 University Drive NW, Calgary, Alberta, Canada, the first premier of Alberta, and Henry Marshall Tory,"Henry Marshall Tory, A Biography", originally published 1954, current edition January 1992, E.A. Corbett, Toronto: Ryerson Press, the university's first president. It was enabled through the Post-secondary Learning Act''.'' The university is considered a "comprehensive academic and research university" (CARU), which means that it offers a range of academic and professional programs that generally lead to undergraduate and graduate level credentials. The university comprises four campuses in Edmonton, an Augustana Campus in Camrose, and a staff centre in downtown Cal ...
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Nuclear Magnetic Resonance Spectroscopy
Nuclear magnetic resonance spectroscopy, most commonly known as NMR spectroscopy or magnetic resonance spectroscopy (MRS), is a spectroscopic technique to observe local magnetic fields around atomic nuclei. The sample is placed in a magnetic field and the NMR signal is produced by excitation of the nuclei sample with radio waves into nuclear magnetic resonance, which is detected with sensitive radio receivers. The intramolecular magnetic field around an atom in a molecule changes the resonance frequency, thus giving access to details of the electronic structure of a molecule and its individual functional groups. As the fields are unique or highly characteristic to individual compounds, in modern organic chemistry practice, NMR spectroscopy is the definitive method to identify monomolecular organic compounds. The principle of NMR usually involves three sequential steps: # The alignment (polarization) of the magnetic nuclear spins in an applied, constant magnetic field B0. # The ...
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DSSP (algorithm)
The DSSP algorithm is the standard method for assigning secondary structure to the amino acids of a protein, given the atomic-resolution coordinates of the protein. The abbreviation is only mentioned once in the 1983 paper describing this algorithm, where it is the name of the Pascal program that implements the algorithm ''Define Secondary Structure of Proteins''. Algorithm DSSP begins by identifying the intra-backbone hydrogen bonds of the protein using a purely electrostatic definition, assuming partial charges of -0.42 ''e'' and +0.20 ''e'' to the carbonyl oxygen and amide hydrogen respectively, their opposites assigned to the carbonyl carbon and amide nitrogen. A hydrogen bond is identified if ''E'' in the following equation is less than -0.5 kcal/mol: : E = 0.084 \left\ \cdot 332 \, \mathrm where the r_ terms indicate the distance between atoms A and B, taken from the carbon (C) and oxygen (O) atoms of the C=O group and the nitrogen (N) and hydrogen (H) atoms of the N-H ...
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Structural Bioinformatics
Structural bioinformatics is the branch of bioinformatics that is related to the analysis and prediction of the three-dimensional structure of biological macromolecules such as proteins, RNA, and DNA. It deals with generalizations about macromolecular 3D structures such as comparisons of overall folds and local motifs, principles of molecular folding, evolution, binding interactions, and structure/function relationships, working both from experimentally solved structures and from computational models. The term ''structural'' has the same meaning as in structural biology, and structural bioinformatics can be seen as a part of computational structural biology. The main objective of structural bioinformatics is the creation of new methods of analysing and manipulating biological macromolecular data in order to solve problems in biology and generate new knowledge. Introduction Protein structure The structure of a protein is directly related to its function. The presence of cert ...
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Protein Structure Prediction
Protein structure prediction is the inference of the three-dimensional structure of a protein from its amino acid sequence—that is, the prediction of its secondary and tertiary structure from primary structure. Structure prediction is different from the inverse problem of protein design. Protein structure prediction is one of the most important goals pursued by computational biology; and it is important in medicine (for example, in drug design) and biotechnology (for example, in the design of novel enzymes). Starting in 1994, the performance of current methods is assessed biannually in the CASP experiment (Critical Assessment of Techniques for Protein Structure Prediction). A continuous evaluation of protein structure prediction web servers is performed by the community project CAMEO3D. Protein structure and terminology Proteins are chains of amino acids joined together by peptide bonds. Many conformations of this chain are possible due to the rotation of the main chain abou ...
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GeNMR
GeNMR method (GEnerate NMR structures) is the first fully automated template-based method of protein structure determination that utilizes both NMR chemical shifts and Nuclear Overhauser effect, NOE -based distance restraints. In addition to the template-based approach, the GeNMR webserver also offers an ''ab initio'' protein folding mode that starts folding from an extended structure. The GeNMR web server produces an ensemble of PDB coordinates within a period ranging from 20 minutes to 4 hours, depending on protein size, server load, quality and type of experimental information, and selected protocol options. GeNMR webserver is composed of two parts, a front-end web-interface (written in Perl and HTML) and a back-end consisting of eight different alignment, structure generation and structure optimization programs along with three local databases. Input GeNMR accepts and processes backbone and side chain 1H, 13C or 15N chemical shift data of almost any combination (HA only, ...
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Random Coil Index
Random coil index (RCI) predicts protein flexibility by calculating an inverse weighted average of backbone secondary chemical shifts and predicting values of model-free order parameters as well as per-residue RMSD of NMR and molecular dynamics ensembles from this parameter. The key advantages of this protocol over existing methods of studying protein flexibility are # it does not require prior knowledge of a protein's tertiary structure, # it is not sensitive to the protein's overall tumbling and # it does not require additional NMR measurements beyond the standard experiments for backbone assignments. The application of secondary chemical shifts to characterize protein flexibility is based on an assumption that the proximity of chemical shifts to random coil values is a manifestation of increased protein mobility, while significant differences from random coil values are an indication of a relatively rigid structure. Even though chemical shifts of rigid residues may adopt ran ...
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Protein Dynamics
Proteins are generally thought to adopt unique structures determined by their amino acid sequences. However, proteins are not strictly static objects, but rather populate ensembles of (sometimes similar) conformations. Transitions between these states occur on a variety of length scales (tenths of Å to nm) and time scales (ns to s), and have been linked to functionally relevant phenomena such as allosteric signaling and enzyme catalysis. The study of protein dynamics is most directly concerned with the transitions between these states, but can also involve the nature and equilibrium populations of the states themselves. These two perspectives—kinetics and thermodynamics, respectively—can be conceptually synthesized in an "energy landscape" paradigm: highly populated states and the kinetics of transitions between them can be described by the depths of energy wells and the heights of energy barriers, respectively. Local flexibility: atoms and residues Portions of protein s ...
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