Results 31 to 40 of about 986,500 (268)
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
doaj +1 more source
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 ...
W, Liu, K C, Chou
openaire +2 more sources
Fourier Analysis of Conservation Patterns in Protein Secondary Structure
Residue conservation is a common observation in alignments of protein families, underscoring positions important in protein structure and function. Though many methods measure the level of conservation of particular residue positions, currently we do not
Ashok Palaniappan, Eric Jakobsson
doaj +1 more source
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
doaj +1 more source
ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source
Multistage Combination Classifier Augmented Model for Protein Secondary Structure Prediction
In the field of bioinformatics, understanding protein secondary structure is very important for exploring diseases and finding new treatments. Considering that the physical experiment-based protein secondary structure prediction methods are time ...
Xu Zhang +6 more
doaj +1 more source
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo +5 more
wiley +1 more source
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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In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai +9 more
wiley +1 more source
MASSP3: A System for Predicting Protein Secondary Structure
A system that resorts to multiple experts for dealing with the problem of predicting secondary structures is described, whose performances are comparable to those obtained by other state-of-the-art predictors.
Armano Giuliano +2 more
doaj +1 more source

