Results 31 to 40 of about 1,631,863 (295)
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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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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Linkers of secondary structures in proteins [PDF]
Protein Science, 1997 AbstractLinkers that connect repeating secondary structures fall into conformational classes based on distance and main‐chain torsion clustering. A data set of 300 unique protein chains with low pairwise sequence identity was clustered into only a few groups representing the preferred motifs.
V, Geetha, P J, Munson
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NMR analysis of synthetic human serum albumin alpha-helix 28 identifies structural distortion upon amadori modification [PDF]
, 2005 The non-enzymatic reaction between reducing sugars and long-lived proteins in vivo results in the formation of glycation and advanced glycation end products, which alter the properties of proteins including charge, helicity, and their tendency to ...
Howard, Mark J. +1 more
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Combining protein evolution and secondary structure [PDF]
Molecular Biology and Evolution, 1996 An evolutionary model that combines protein secondary structure and amino acid replacement is introduced. It allows likelihood analysis of aligned protein sequences and does not require the underlying secondary (or tertiary) structures of these sequences to be known.
J L, Thorne, N, Goldman, D T, Jones
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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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NMR solution structure of a chymotrypsin inhibitor from the Taiwan cobra Naja naja atra [PDF]
, 2013 The Taiwan cobra (Naja naja atra) chymotrypsin inhibitor (NACI) consists of 57 amino acids and is related to other Kunitz-type inhibitors such as bovine pancreatic trypsin inhibitor (BPTI) and Bungarus fasciatus fraction IX (BF9), another chymotrypsin ...
Chang, Long-Sen +3 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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Factors affecting sorghum protein digestibility [PDF]
, 2003 In the semi-arid tropics worldwide, sorghum (Sorghum bicolor (L.) Moench) is cultivated by farmers on a subsistence level and consumed as food by humans.
Belton, Peter +3 more
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Continuum Secondary Structure Captures Protein Flexibility [PDF]
Structure, 2002 The DSSP program assigns protein secondary structure to one of eight states. This discrete assignment cannot describe the continuum of thermal fluctuations. Hence, a continuous assignment is proposed. Technically, the continuum results from averaging over ten discrete DSSP assignments with different hydrogen bond thresholds.
Andersen, Claus A.F. +3 more
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