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Extracting Physicochemical Features to Predict Protein Secondary Structure
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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An evolutionary method for learning HMM structure: prediction of protein secondary structure
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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This study aimed to investigate the variation of molecular functional properties of peanut protein isolate (PPI) over the storage process and reveal the correlation between the PPI secondary structure and properties in the storage procedure.
Xiaotong Sun+5 more
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Fish protein hydrolyzates (FPH) are breakdown products of hydrolysis and are gaining importance in the field of nutraceuticals and functional foods due to their bioactive properties, high nutritional value, solubility, and digestibility. This study aimed
Undiganalu Gangadharappa Yathisha+2 more
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Protein Secondary Structure Affects Glycan Clustering in Native Mass Spectrometry
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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Prediction of protein secondary structure content [PDF]
All existing algorithms for predicting the content of protein secondary structure elements have been based on the conventional amino-acid-composition, where no sequence coupling effects are taken into account. In this article, an algorithm was developed for predicting the content of protein secondary structure elements that was based on a new amino ...
Wei-min Liu, Kou-Chen Chou
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Improved probability graph model for protein secondary structure prediction
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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BCL::Score--knowledge based energy potentials for ranking protein models represented by idealized secondary structure elements. [PDF]
The topology of most experimentally determined protein domains is defined by the relative arrangement of secondary structure elements, i.e. α-helices and β-strands, which make up 50-70% of the sequence.
Nils Woetzel+5 more
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A physical basis for protein secondary structure [PDF]
A physical theory of protein secondary structure is proposed and tested by performing exceedingly simple Monte Carlo simulations. In essence, secondary structure propensities are predominantly a consequence of two competing local effects, one favoring hydrogen bond formation in helices and turns, the other opposing the attendant reduction in sidechain ...
George D. Rose, Rajgopal Srinivasan
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In vivo IL‐10 produced by tissue‐resident tolDC is involved in maintaining/inducing tolerance. Depending on the agent used for ex vivo tolDC generation, cells acquire common features but prime T cells towards anergy, FOXP3+ Tregs, or Tr1 cells according to the levels of IL‐10 produced. Ex vivo‐induced tolDC were administered to patients to re‐establish/
Konstantina Morali+3 more
wiley +1 more source