FLORA: a novel method to predict protein function from structure in diverse superfamilies [PDF]
, 2009 Predicting protein function from structure remains an active area of interest, particularly for the structural genomics initiatives where a substantial number of structures are initially solved with little or no functional characterisation.
Dallman Timothy J. +24 more
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Frontiers in Bioengineering and Biotechnology, 2022 Prediction of the protein secondary structure is a key issue in protein science. Protein secondary structure prediction (PSSP) aims to construct a function that can map the amino acid sequence into the secondary structure so that the protein secondary ...
Xin Jin +9 more
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Extracting Physicochemical Features to Predict Protein Secondary Structure
The Scientific World Journal, 2013 We propose a protein secondary structure prediction method based on position-specific scoring matrix (PSSM) profiles and four physicochemical features including conformation parameters, net charges, hydrophobic, and side chain mass.
Yin-Fu Huang, Shu-Ying Chen
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PS4: a next-generation dataset for protein single-sequence secondary structure prediction
BioTechniques, 2023 Protein secondary structure prediction is a subproblem of protein folding. A light-weight algorithm capable of accurately predicting secondary structure from only the protein residue sequence could provide useful input for tertiary structure prediction ...
Omar Peracha
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Convolution-Bidirectional Temporal Convolutional Network for Protein Secondary Structure Prediction
IEEE Access, 2022 As a basic feature extraction method, convolutional neural networks have some information loss problems when dealing with sequence problems, and a temporal convolutional network can compensate for this problem.
Yunqing Zhang, Yuming Ma, Yihui Liu
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The CATH database: an extended protein family resource for structural and functional genomics [PDF]
, 2003 The CATH database of protein domain structures (http://www.biochem.ucl.ac.uk/bsm/cath_new) currently contains 34 287 domain structures classified into 1383 superfamilies and 3285 sequence families.
Pearl, F.M.G. +8 more
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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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Rapid Quantification of Protein Secondary Structure Composition from a Single Unassigned 1D 13C NMR Spectrum [PDF]
The function of a protein is predicated upon its three dimensional fold. Representing its complex structure as a series of repeating secondary structural elements is one of the most useful ways by which we study, characterize, and visualize a protein ...
Haote, Li +3 more
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A computer system to perform structure comparison using TOPS representations of protein structure [PDF]
, 2001 We describe the design and implementation of a fast topology–based method for protein structure comparison. The approach uses the TOPS topological representation of protein structure, aligning two structures using a common discovered pattern and ...
Viksna, J +3 more
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Protein Secondary Structure Affects Glycan Clustering in Native Mass Spectrometry
Life, 2021 Infection by the human noroviruses (hNoV), for the vast majority of strains, requires attachment of the viral capsid to histo blood group antigens (HBGAs).
Hao Yan +8 more
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