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Rosetta is also used in protein–protein docking prediction, which determines the structure of multiple complexed proteins, or quaternary structure. This type of protein interaction affects many cellular functions, including antigen–antibody and enzyme–inhibitor binding and cellular import and export.
Prediction of protein structure de novo for larger proteins will require better algorithms and larger computational resources such as those afforded by either powerful supercomputers (such as Blue Gene or MDGRAPE-3) or distributed computing projects (such as Folding@home, Rosetta@home, the Human Proteome Folding Project, or Nutritious Rice for ...
Rosetta homology modeling and ab initio fragment assembly with Ginzu domain prediction: Webserver Rosetta@home: Distributed-computing implementation of Rosetta algorithm: Downloadable program Abalone: Molecular Dynamics folding: Program C-QUARK C-QUARK is a method for ab initio protein structure prediction. Based on deep-learning based contact ...
An alpha-helix with hydrogen bonds (yellow dots) The α-helix is the most abundant type of secondary structure in proteins. The α-helix has 3.6 amino acids per turn with an H-bond formed between every fourth residue; the average length is 10 amino acids (3 turns) or 10 Å but varies from 5 to 40 (1.5 to 11 turns).
Baker's group developed the Rosetta algorithm for ab initio protein structure prediction, which has been extended into a tool for protein design, a distributed computing project called Rosetta@home, [12] [14] [15] and the computer game Foldit.
The name CS-ROSETTA for this branch of ROSETTA stems from its origin in combining NMR chemical shift data with ROSETTA structure prediction protocols. [1] The software package was later extended to include additional NMR conformational parameters, such as Residual Dipolar Couplings ( RDC ), [ 2 ] NOE distance restraints, [ 3 ] pseudocontact ...
Prof. David Baker, a protein research scientist at the University of Washington, founded the Foldit project.Seth Cooper was the lead game designer. Before starting the project, Baker and his laboratory coworkers relied on another research project named Rosetta [5] to predict the native structures of various proteins using special computer protein structure prediction algorithms.
Richard Bonneau is an American computational biologist and data scientist whose primary research is in the following areas: learning networks from functional genomics data, predicting and designing protein and peptiodomimetic structure and applying data science to social networks.