Biopython: Python tools for computational biology
ACM SIGBIO Newsletter
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Expert Systems with Applications: An International Journal
Combining machine learning and optimization techniques to determine 3-D structures of polypeptides
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Expert Systems with Applications: An International Journal
An expert protein loop refinement protocol by molecular dynamics simulations with restraints
Expert Systems with Applications: An International Journal
International Journal of Bioinformatics Research and Applications
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This article provides the initial results of our effort to develop a hybrid prediction method, combining the principles of de novoand homology modeling, to help solve the protein three-dimensional (3-D) structure prediction problem. A target protein amino acid sequence is fragmented into many short contiguous fragments. Clustered short templates fragments, obtained from experimental protein structures in the Protein Data Bank (PDB), using the NCBI BLASTp program, were used for building an initial conformation, which was further refined by molecular dynamics simulations. We tested our method with the artificially designed alpha helical hairpin (PDB ID: 1ZDD) starting with its amino acids sequence only. The structure obtained with the proposed method is topologically a helical hairpin, with a C( RMSD of ~ 5.0 Å with respect to the experimental PDB structure for all 34 amino acids residues, and only ~ 2.0 Å when considering amino acids 1 to 22. We discuss further improvements to the method.