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A dynamic programming algorithm for the prediction of a restricted class (H-type) of RNA pseudoknots. Yes: sourcecode, webserver [20] RNA123: Secondary structure prediction via thermodynamic-based folding algorithms and novel structure-based sequence alignment specific for RNA. Yes: webserver: RNAfold: MFE RNA structure prediction algorithm.
The Swiss-model Workspace integrates programs and databases required for protein structure prediction and modelling in a web-based workspace. Depending on the complexity of the modelling task, different modes of use can be applied, in which the user has different levels of control over individual modelling steps: automated mode, alignment mode, and project mode.
A unified interface for: Tertiary structure prediction/3D modelling, 3D model quality assessment, Intrinsic disorder prediction, Domain prediction, Prediction of protein-ligand binding residues Automated webserver and some downloadable programs RaptorX: remote homology detection, protein 3D modeling, binding site prediction
G-quadruplex structures can be computationally predicted from DNA or RNA sequence motifs, [11] [12] but their actual structures can be quite varied within and between the motifs, which can number over 100,000 per genome. Their activities in basic genetic processes are an active area of research in telomere, gene regulation, and functional ...
The protein structure prediction remains an extremely difficult and unresolved undertaking. The two main problems are the calculation of protein free energy and finding the global minimum of this energy. A protein structure prediction method must explore the space of possible protein structures which is astronomically large.
I-TASSER is a template-based method for protein structure and function prediction. [1] The pipeline consists of six consecutive steps: 1, Secondary structure prediction by PSSpred; 2, Template detection by LOMETS [6] 3, Fragment structure assembly using replica-exchange Monte Carlo simulation [7]
Several algorithms dealing with aspects of PCFG based probabilistic models in RNA structure prediction exist. For instance the inside-outside algorithm and the CYK algorithm. The inside-outside algorithm is a recursive dynamic programming scoring algorithm that can follow expectation-maximization paradigms. It computes the total probability of ...
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.