Results 31 to 40 of about 1,170,066 (317)

Protein secondary structure prediction (PSSP) using different machine algorithms

Egyptian Journal of Medical Human Genetics, 2021
Background The computational biology approach has advanced exponentially in protein secondary structure prediction (PSSP), which is vital for the pharmaceutical industry.
Heba M. Afify, Mohamed B. Abdelhalim, Mai S. Mabrouk, Ahmed Y. Sayed   +3 more
doaj   +1 more source

Interplay between Secondary and Tertiary Structure Formation in Protein Folding Cooperativity [PDF]

, 2010
Protein folding cooperativity is defined by the nature of the finite-size thermodynamic transition exhibited upon folding: two-state transitions show a free energy barrier between the folded and unfolded ensembles, while downhill folding is barrierless ...
Bachmann, Michael, Bereau, Tristan, Deserno, Markus   +2 more
core   +4 more sources

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, Korenberg Michael J, Green James R   +2 more
doaj   +1 more source

Prediction of protein secondary structure based on an improved channel attention and multiscale convolution module

Frontiers in Bioengineering and Biotechnology, 2022
Prediction of the protein secondary structure is a key issue in protein science. Protein secondary structure prediction (PSSP) aims to construct a function that can map the amino acid sequence into the secondary structure so that the protein secondary ...
Xin Jin, Xin Jin, Lin Guo, Lin Guo, Qian Jiang, Qian Jiang, Nan Wu, Nan Wu, Shaowen Yao, Shaowen Yao   +9 more
doaj   +1 more source

A Kernel for Protein Secondary Structure Prediction [PDF]

, 2004
Multi-class support vector machines have already proved efficient in protein secondary structure prediction as ensemble methods, to combine the outputs of sets of classifiers based on different principles. In this chapter, their implementation as basic prediction methods, processing the primary structure or the profile of multiple alignments, is ...
Guermeur, Yann, Lifchitz, Alain, Vert, Régis   +2 more
openaire   +2 more sources

Unfolding kinetics of beta-lactoglobulin induced by surfactant and denaturant: a stopped-flow/fluorescence study [PDF]

, 2007
The beta ->alpha transition of beta-lactoglobulin, a globular protein abundant in the milk of several mammals, is investigated in this work. This transition, induced by the cationic surfactant dodecyltrimethylammonium chloride (DTAC), is accompanied by ...
Andrade, Brown, Brownlow, Carrell, Cho, Collini, Drake, Dufour, Eduardo P. Melo, Fersht, Hamada, Hamada, Hirota, Hirota-Nakaoka, Kauffmann, Kuwata, Kuwata, Lakowicz, Lakshmikanth, Maria Isabel Viseu, Mendieta, Otzen, Otzen, Palazolo, Prusiner, Raquel F. Correia, Renard, Roelants, Shiraki, Sreerama, Sreerama, Steinfeld, Sílvia M.B. Costa, Teresa Isabel Carvalho, Uversky, Vadja, Verheul, Viseu, Viseu, Viseu   +39 more
core   +2 more sources

Site-specific perturbations of alpha-synuclein fibril structure by the Parkinson's disease associated mutations A53T and E46K. [PDF]

, 2013
PMCID: PMC3591419This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited ...
A Loquet, BI Giasson, BM Fung, C Wasmer, Chad M. Rienstra, CP Jaroniec, CR Bodner, CR Morcombe, D Eliezer, DS Wishart, DS Wishart, DS Wishart, E Oldfield, EA Greenbaum, Elisa Greggio, F Delaglio, G Comellas, G Comellas, G Comellas, G Cornilescu, Gemma Comellas, H Heise, H Heise, H van Melckebeke, J Li, JJ Zarranz, Julia M. George, K Iwata, K Takegoshi, KA Conway, KD Kloepper, L Narhi, Lars K. Rikardsen, LC Serpell, LR Lemkau, Luisel R. Lemkau, M Baldus, ME van Raaij, MG Spillantini, MH Polymeropoulos, MS Celej, N Ferguson, R Bussell, R Kruger, RA Fredenburg, S Hediger, Shin W. Lee, W Choi, Wendy S. Woods, WG Hoyer, Y Shen   +50 more
core   +3 more sources

ISSEC: inferring contacts among protein secondary structure elements using deep object detection

BMC Bioinformatics, 2020
Background The formation of contacts among protein secondary structure elements (SSEs) is an important step in protein folding as it determines topology of protein tertiary structure; hence, inferring inter-SSE contacts is crucial to protein structure ...
Qi Zhang, Jianwei Zhu, Fusong Ju, Lupeng Kong, Shiwei Sun, Wei-Mou Zheng, Dongbo Bu   +6 more
doaj   +1 more source

The Carboxyl-Terminal Segment of Apolipoprotein A-V Undergoes a Lipid-Induced Conformational Change [PDF]

, 2010
Apolipoprotein (apo) A-V is a 343-residue, multidomain protein that plays an important role in regulation of plasma triglyceride homeostasis. Primary sequence analysis revealed a unique tetraproline sequence (Pro293-Pro296) near the carboxyl terminus of ...
Lee, B. L., Mauldin, Kasuen, Oleszczuk, M., Ryan, R. O., Sykes, B. D.   +4 more
core   +2 more sources

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
doaj   +1 more source