Enhancing fragment-based protein structure prediction by customising fragment cardinality according to local secondary structure [PDF]
BMC Bioinformatics, 2020 Background Whenever suitable template structures are not available, usage of fragment-based protein structure prediction becomes the only practical alternative as pure ab initio techniques require massive computational resources even for very small ...
Jad Abbass, Jean-Christophe Nebel
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The Future of Protein Secondary Structure Prediction Was Invented by Oleg Ptitsyn [PDF]
Biomolecules, 2020 When Oleg Ptitsyn and his group published the first secondary structure prediction for a protein sequence, they started a research field that is still active today.
Daniel Rademaker +5 more
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A secondary structure-based position-specific scoring matrix applied to the improvement in protein secondary structure prediction. [PDF]
PLoS ONE, 2021 Protein secondary structure prediction (SSP) has a variety of applications; however, there has been relatively limited improvement in accuracy for years.
Teng-Ruei Chen +4 more
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Protein Secondary Structure Prediction Based on Data Partition and Semi-Random Subspace Method. [PDF]
Sci Rep, 2018 Protein secondary structure prediction is one of the most important and challenging problems in bioinformatics. Machine learning techniques have been applied to solve the problem and have gained substantial success in this research area. However there is
Ma Y, Liu Y, Cheng J.
europepmc +2 more sources
Combining sequence-based prediction methods and circular dichroism and infrared spectroscopic data to improve protein secondary structure determinations [PDF]
BMC Bioinformatics, 2008 Background A number of sequence-based methods exist for protein secondary structure prediction. Protein secondary structures can also be determined experimentally from circular dichroism, and infrared spectroscopic data using empirical analysis methods ...
Lees Jonathan G, Janes Robert W
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A simple strategy to enhance the speed of protein secondary structure prediction without sacrificing accuracy. [PDF]
PLoS ONE, 2020 The secondary structure prediction of proteins is a classic topic of computational structural biology with a variety of applications. During the past decade, the accuracy of prediction achieved by state-of-the-art algorithms has been >80%; meanwhile, the
Sheng-Hung Juan +2 more
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Improving the accuracy of protein secondary structure prediction using structural alignment [PDF]
BMC Bioinformatics, 2006 Background The accuracy of protein secondary structure prediction has steadily improved over the past 30 years. Now many secondary structure prediction methods routinely achieve an accuracy (Q3) of about 75%.
Gallin Warren J +3 more
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Prediction of Protein Secondary Structures From Conformational Biases [PDF]
Proteins: Structure, Function, and Bioinformatics, 2002 AbstractWe use LINUS (the “Local Independently Nucleated Units of Structure”), a procedure developed by Srinivasan and Rose, to provide a physical interpretation of and predict the secondary structures of proteins. The secondary structure type at a given site is identified by the largest conformational bias during short simulations. We examine the rate
Trinh Xuan Hoang +3 more
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Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information [PDF]
BMC Bioinformatics, 2007 Background Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio case but also when homology information to known structures is available ...
Vullo Alessandro +3 more
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Biomedical and Biotechnology Research Journal, 2017 Background: With the advent of many new advanced techniques, sequences of a number of proteins have been made available. But the relative paucity of the experimentally determined three-dimensional structures of these proteins has paved way for the ...
Kandavelmani Angamuthu +1 more
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