Results 31 to 40 of about 1,014,642 (191)
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
openaire +2 more sources
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
core +1 more source
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
doaj +1 more source
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
core +1 more source
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
doaj +1 more source
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
doaj +1 more source
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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Structural analysis of Salmonella enterica effector protein SopD [PDF]
, 2004 Salmonella outer protein D (SopD) is a type III secreted virulence effector protein from Salmonella enterica. Full-length SopD and SopD lacking 16 amino acids at the N-terminus (SopDDeltaN) have been expressed as fusions with GST in Escherichia coli ...
Williams, C +7 more
core +1 more source
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
doaj +1 more source
Foods, 2022 To explore the quality differences between dried wheat noodles (DWNs), stone-milled dried whole wheat noodles (SDWWNs), and commercially dried whole wheat noodles (CDWWNs), the cooking quality, texture properties, microstructure, protein secondary ...
Mengdi Cai +4 more
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