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The Protein Interaction Prediction Engine (PIPE)
The Protein Interaction Prediction Engine (PIPE)

... From: Park, BMC Bioinformatics, 2009, ...
Problem Set 1
Problem Set 1

... ii) The carbonyl and amide groups of the protein backbone are hydrophilic and form hydrogen bonds with water; they can also hydrogen bond to each other. The free energy of formation of a hydrogen bond between the atoms of the peptide group in the interior of a protein is : a) more favorable than it ...
Science Vol 315 26 January 2007
Science Vol 315 26 January 2007

... catalysts, and accessory proteins all contribute to protein folding in the cell (5). Could there be other factors affecting the final conformation of a protein? In 1987, Purvis and colleagues proposed that “the way in which some proteins fold is affected by the rates at which regions of their polype ...
visualization, comparison and analysis of 2D maps of protein structure
visualization, comparison and analysis of 2D maps of protein structure

... protein. Analysis of incomplete structures that differ in length (e.g. crude fold-recognition models that exhibit deletions or crystallographic structures with disordered parts) is however possible, as long as the corresponding residues retain the same index number in all models. PROTMAP2D allows an ...
Sports and Protein Metabolism
Sports and Protein Metabolism

... of bodyweight. In a 70kg (154lb) individual this equates to just 58 grams of protein per day or about two chicken breasts worth ...
QIAxcel: Novel 12-channel capillary electrophoresis system for high
QIAxcel: Novel 12-channel capillary electrophoresis system for high

... ■ A limit of detection of 2.5 ng/µl (carbonic anhydrase) ■ A dynamic range of 2.5 ng–250 ng/µl ...
bchm6280_lect5_16
bchm6280_lect5_16

... Limitations of similarity • Proteins with more than one domain cause problems. – Numerous matches to one domain can mask matches to other domains. ...
Protein Domain Boundary Prediction
Protein Domain Boundary Prediction

... • Domains provide one of the most valuable information for the prediction of protein structure, function, evolution and design. • Since Anfinsen’s (1973) seminal work, many have proposed various structure prediction models from amino acid sequence only. • This study, - Provides an overview of the mo ...
3.1.1.4 Proteins
3.1.1.4 Proteins

... muscle proteins that work together to cause a muscle to contract. There are proteins in cell membranes that help identify a cell or serve as a receptor. Adrenalin and insulin are two examples of hormones that are made of protein. All proteins have a special shape that is the result of the interactio ...
Presentation (PowerPoint File)
Presentation (PowerPoint File)

... In almost all cases, for all ranges of initial RMSD, even when starting from the “best” structural alignment, the final results are better than the initial template- the models move closer to native Based on a comprehensive folding benchmark, we expect low resolution structures for ~ 2/3 of proteins ...
RNA-protein interactions in nuclear pre
RNA-protein interactions in nuclear pre

... Recent advances i n the cryo-electron microscopy of Escherichia coli ribosomes combined w i t h image processing techniques have led to computerized reconstructions of these ribosomes a t ever higher resolution. A reconstruction of 705 ribosomes carrying t R N A a t the P s i t e and an EF-Tu/tRNA t ...
Supplementary Material
Supplementary Material

... The secondary structure definitions of amino acids were generated with DSSP [1] considering only three groups: helical (H), extended (E) and coil (C). Based on this 7 types of protein interfaces can be defined taking into consideration the amount of each of the three basic secondary structural eleme ...
structbio_lecture_BCH339N_2016
structbio_lecture_BCH339N_2016

... Comparative Modeling – create a structure model for a protein of interest ...
NMR Stucture of the Sterol Carrier Protein
NMR Stucture of the Sterol Carrier Protein

... studies of nitroxide spin-labeled substrate binding are presented as a new basis for investigations of the mode of action of SCP2. The SCP2 fold is formed by a ®ve-stranded b-sheet and four a-helices. Fatty acid binding to a hydrophobic surface area formed by amino acid residues of the ®rst and thir ...
Lecture 8: Protein structure analysis
Lecture 8: Protein structure analysis

... Computational folding methods • No effective folding machine exists that is based on physical principles and energy minimization alone • Current computational methods rely on known protein structures – machine learning approach: – Template-based modeling – Template-free modeling ...
Amino Acids - Chemistry Courses: About
Amino Acids - Chemistry Courses: About

... • DG might be 40 kJ/mol for small protein (about 2 H-bonds) • Hydrophobic effect is important...but the most important? ...
Introduction Quality Protein Maize (QPM) contains nearly twice as
Introduction Quality Protein Maize (QPM) contains nearly twice as

... Quality Protein Maize (QPM) contains nearly twice as much usable protein as other maize grown in Kenya. The majority of people in Kenya depend on maize as their principal daily food, for weaning babies, and for feeding livestock. Unfortunately normal maize has one significant flaw, it lacks the full ...
In Silico protein structure and function prediction
In Silico protein structure and function prediction

... Computational folding methods • No effective folding machine exists that is based on physical principles and energy minimization alone • Current computational methods rely on known protein structures – machine learning approach: – Template-based modeling – Template-free modeling ...
Model Design Parameters
Model Design Parameters

... o Any ligands associated with the protein in your pdb file? (You will need to know how to call these up in Jmol; the pdb webpage will include a list of ligands and their abbreviations) This list is not intended to be exhaustive, but to give you some ideas about what you might want to display in your ...
Protein structure prediction
Protein structure prediction

... their global energy minima in the same region of conformational space. ...
Proteomic studies of the environmentally important methanotroph
Proteomic studies of the environmentally important methanotroph

... Proteomics is the global characterisation of protein products (sequence, post-translational modifications, protein-protein interactions) expressed by a given genome at a specific point in time Unlike the genome, the proteome is a dynamic entity ...
PowerPoint
PowerPoint

... 1. Change in the volume of plasma water. 2. Change in the concentration of one or more of the specific proteins. Decrease in the volume of plasma water (haemoconcentration) as occurs in dehydration due to inadequate water intake or to excessive water loss due to vomiting, diarrhea or burn is reflect ...
No Slide Title
No Slide Title

... • followed by a hydrophobic h-region (which can adopt an -helical conformation in an hydrophobic environment) • and a neutral but polar c-region (cleavage region; the signal sequence is cleaved off here after delivering the protein at the ...
Gene Section SMAP1 (stromal membrane-associated protein 1) Atlas of Genetics and Cytogenetics
Gene Section SMAP1 (stromal membrane-associated protein 1) Atlas of Genetics and Cytogenetics

... and appears to be highly concentrated near the plasma membrane. ...
ACUTE PHASE PROTEIN CONCENTRATIONS IN PERITONEAL
ACUTE PHASE PROTEIN CONCENTRATIONS IN PERITONEAL

... Introduction: Peritonitis is considered to be an important complication of colic cases. Despite advances in diagnostic methods and the immediate institution of intense medical therapy, mortality rates remain high. Objectives: To determine, by use of SDS-PAGE, whether peritoneal fluid protein concent ...
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Rosetta@home



Rosetta@home is a distributed computing project for protein structure prediction on the Berkeley Open Infrastructure for Network Computing (BOINC) platform, run by the Baker laboratory at the University of Washington. Rosetta@home aims to predict protein–protein docking and design new proteins with the help of about sixty thousand active volunteered computers processing at 83 teraFLOPS on average as of April 18, 2014. Foldit, a Rosetta@Home videogame, aims to reach these goals with a crowdsourcing approach. Though much of the project is oriented towards basic research on improving the accuracy and robustness of the proteomics methods, Rosetta@home also does applied research on malaria, Alzheimer's disease and other pathologies.Like all BOINC projects, Rosetta@home uses idle computer processing resources from volunteers' computers to perform calculations on individual workunits. Completed results are sent to a central project server where they are validated and assimilated into project databases. The project is cross-platform, and runs on a wide variety of hardware configurations. Users can view the progress of their individual protein structure prediction on the Rosetta@home screensaver.In addition to disease-related research, the Rosetta@home network serves as a testing framework for new methods in structural bioinformatics. These new methods are then used in other Rosetta-based applications, like RosettaDock and the Human Proteome Folding Project, after being sufficiently developed and proven stable on Rosetta@home's large and diverse collection of volunteer computers. Two particularly important tests for the new methods developed in Rosetta@home are the Critical Assessment of Techniques for Protein Structure Prediction (CASP) and Critical Assessment of Prediction of Interactions (CAPRI) experiments, biannual experiments which evaluate the state of the art in protein structure prediction and protein–protein docking prediction, respectively. Rosetta@home consistently ranks among the foremost docking predictors, and is one of the best tertiary structure predictors available.
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