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Published in 2020 at "Protein Science"
DOI: 10.1002/pro.3914
Abstract: The ability to consistently distinguish real protein structures from computationally generated model decoys is not yet a solved problem. One route to distinguish real protein structures from decoys is to delineate the important physical features…
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Keywords:
protein;
real protein;
distinguish real;
features protein ... See more keywords
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Published in 2017 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2017.03.023
Abstract: Protein fold recognition is an important problem in bioinformatics to predict three-dimensional structure of a protein. One of the most challenging tasks in protein fold recognition problem is the extraction of efficient features from the…
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Keywords:
features protein;
protein fold;
protein sequences;
fold recognition ... See more keywords
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Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-71172-x
Abstract: Protein fold recognition plays a crucial role in discovering three-dimensional structure of proteins and protein functions. Several approaches have been employed for the prediction of protein folds. Some of these approaches are based on extracting…
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Keywords:
information;
support vector;
features protein;
protein fold ... See more keywords
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Published in 2022 at "Nanoscale"
DOI: 10.1039/d1nr05571b
Abstract: Natural high-performance materials have inspired the exploration of novel materials from protein building blocks. The ability of proteins to self-organize into amyloid-like nanofibrils has opened an avenue to new materials by hierarchical assembly processes. As…
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Keywords:
propagation structural;
assembly;
features protein;
hierarchical propagation ... See more keywords