Results 31 to 40 of about 13,249,524 (287)
Pervasive, conserved secondary structure in highly charged protein regions.
PLoS Computational Biology, 2023 Understanding how protein sequences confer function remains a defining challenge in molecular biology. Two approaches have yielded enormous insight yet are often pursued separately: structure-based, where sequence-encoded structures mediate function, and
Catherine G Triandafillou +3 more
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PCI-SS: MISO dynamic nonlinear protein secondary structure prediction
BMC Bioinformatics, 2009 Background Since the function of a protein is largely dictated by its three dimensional configuration, determining a protein's structure is of fundamental importance to biology.
Aboul-Magd Mohammed O +2 more
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Extended secondary structures in proteins
Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 2014 Super secondary structures of proteins have been systematically searched and classified, but not enough attention has been devoted to such large edifices beyond the basic identification of secondary structures. The objective of the present study is to show that the association of secondary structures that share some of their backbone residues is a ...
Degrève, Léo +2 more
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Combining Deep Neural Networks for Protein Secondary Structure Prediction
IEEE Access, 2020 By combining convolutional neural networks (CNN) and long short term memory networks (LSTM) into the learning structure, this paper presents a supervised learning method called combining deep neural networks (CDNN) for protein secondary structure ...
Shusen Zhou +4 more
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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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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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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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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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Foods, 2022 Cow’s milk is considered an excellent protein source. However, the digestibility of milk proteins needs to be improved. This study aimed to evaluate the relationship between the functional properties of milk proteins and their structure upon microwave ...
Jin Wang +3 more
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Motivated proteins: a web application for studying small three-dimensional protein motifs [PDF]
, 2009 <b>BACKGROUND:</b> Small loop-shaped motifs are common constituents of the three-dimensional structure of proteins. Typically they comprise between three and seven amino acid residues, and are defined by a combination of dihedral angles and ...
Milner-White, E.J. +5 more
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