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Constituent amino-acids can be analyzed to predict secondary, tertiary and quaternary protein structure. This list of protein structure prediction software summarizes notable used software tools in protein structure prediction, including homology modeling, protein threading, ab initio methods, secondary structure prediction, and transmembrane helix and signal peptide prediction.
Structure determination by NMR has traditionally been a time-consuming process, requiring interactive analysis of the data by a highly trained scientist. There has been considerable interest in automating the process to increase the throughput of structure determination and to make protein NMR accessible to non-experts (See structural genomics ...
English: Functional proteins have four levels of structural organization: 1) Primary Structure : the linear structure of amino acids in the polypeptide chain 2) Secondary Structure : hydrogen bonds between peptide group chains in an alpha helix or beta 3) Tertiary Structure : three-dimensional structure of alpha helixes and beta helixes folded
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.
The generation of a protein sequence is much easier than the determination of a protein structure. However, the structure of a protein gives much more insight in the function of the protein than its sequence. Therefore, a number of methods for the computational prediction of protein structure from its sequence have been developed. [39]
RaptorX is the successor to the RAPTOR protein structure prediction system. RAPTOR was designed and developed by Dr. Jinbo Xu and Dr. Ming Li at the University of Waterloo. RaptorX was designed and developed by a research group led by Prof. Jinbo Xu at the Toyota Technological Institute branch at Chicago.
There are two main approaches to using graphical models in protein structure modeling. The first approach uses discrete variables for representing the coordinates or the dihedral angles of the protein structure. The variables are originally all continuous values and, to transform them into discrete values, a discretization process is typically ...
The CATH Protein Structure Classification database is a free, publicly available online resource that provides information on the evolutionary relationships of protein domains. It was created in the mid-1990s by Professor Christine Orengo and colleagues including Janet Thornton and David Jones , [ 2 ] and continues to be developed by the Orengo ...