Results 51 to 60 of about 257,655 (321)
Bayesian model of protein primary sequence for secondary structure prediction. [PDF]
PLoS ONE, 2014 Determining the primary structure (i.e., amino acid sequence) of a protein has become cheaper, faster, and more accurate. Higher order protein structure provides insight into a protein's function in the cell. Understanding a protein's secondary structure
Qiwei Li +4 more
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Integration of Multi-Feature Fusion and PLS-DA in Protein Secondary Structure Prediction
MATEC Web of Conferences, 2016 Protein structure prediction has become one of the central problems in the field of modern computational biology. Protein secondary structure prediction is the basis of the spatial structure prediction of proteins.
Huang Guangzao +5 more
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Secondary structure specific simpler prediction models for protein backbone angles
BMC Bioinformatics, 2022 Motivation Protein backbone angle prediction has achieved significant accuracy improvement with the development of deep learning methods. Usually the same deep learning model is used in making prediction for all residues regardless of the categories of ...
M. A. Hakim Newton +3 more
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Protein secondary structure prediction by using deep learning method
Knowledge-Based Systems, 2016 Yangxu Wang, Hua Mao, Yi Zhang
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Prediction of Protein Secondary Structure
Jurnal Teknologi, 2012 Dengan wujudnya projek jujukan DNA secara besar–besaran, teknik yang tepat untuk meramalkan struktur protein diperlukan. Masalah meramalkan struktur protein daripada jujukan DNA pada dasarnya masih belum dapat diselesaikan walaupun kajian intensif telah dilakukan selama lebih daripada tiga dekad. Dalam kertas kerja ini, teori asas struktur protein
Satya N. V. Arjunan +2 more
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Protein secondary structure: category assignment and predictability [PDF]
FEBS Letters, 2001 In the last decade, the prediction of protein secondary structure has been optimized using essentially one and the same assignment scheme known as DSSP. We present here a different scheme, which is more predictable. This scheme predicts directly the hydrogen bonds, which stabilize the secondary structures.
Henrik Bohr +2 more
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Improved probability graph model for protein secondary structure prediction
Journal of Hebei University of Science and Technology, 2016 Protein secondary structure is closely related to protein tertiary structure and function, and became a hot topic in bioinformatics. The probability graph model HMM (Hidden Markov model) is an important tool in this field.
Lingqi ZHAO +4 more
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Protein secondary structure prediction in different structural classes [PDF]
Protein Engineering Design and Selection, 1998 Information about the secondary structure of a protein can be helpful in understanding its native folded state. In previous work, it was shown that the medium-range interactions predominate in all-alpha class and the long-range interactions predominate in all-beta class proteins.
Samuel Selvaraj, M. Michael Gromiha
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An evolutionary method for learning HMM structure: prediction of protein secondary structure
BMC Bioinformatics, 2007 Background The prediction of the secondary structure of proteins is one of the most studied problems in bioinformatics. Despite their success in many problems of biological sequence analysis, Hidden Markov Models (HMMs) have not been used much for this ...
Won Kyoung-Jae +3 more
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bioRxiv, 2019 Protein structures provide basic insight into how they can interact with other proteins, their functions and biological roles in an organism. Experimental methods (e.g., X-ray crystallography, nuclear magnetic resonance spectroscopy) for predicting the ...
M. R. Uddin +3 more
semanticscholar +1 more source