Results 31 to 40 of about 760,069 (270)
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
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Protein Structure Prediction: The Next Generation
, 2006 Over the last 10-15 years a general understanding of the chemical reaction of protein folding has emerged from statistical mechanics. The lessons learned from protein folding kinetics based on energy landscape ideas have benefited protein structure ...
Eastwood, Michael P. +4 more
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Recent Progress of Protein Tertiary Structure Prediction
MoleculesThe prediction of three-dimensional (3D) protein structure from amino acid sequences has stood as a significant challenge in computational and structural bioinformatics for decades.
Qiqige Wuyun +7 more
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Naive Prediction of Protein Backbone Phi and Psi Dihedral Angles Using Deep Learning
Molecules, 2023 Protein structure prediction represents a significant challenge in the field of bioinformatics, with the prediction of protein structures using backbone dihedral angles recently achieving significant progress due to the rise of deep neural network ...
Matic Broz, Marko Jukič, Urban Bren
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Accurate protein structure prediction with hydroxyl radical protein footprinting data
Nature Communications, 2021 Mass spectrometry-based covalent labeling techniques such as hydroxyl radical protein footprinting (HRPF) provide information about protein tertiary structures.
Sarah E. Biehn, Steffen Lindert
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Local protein structure prediction using discriminative models
BMC Bioinformatics, 2006 Background In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen significantly and in fold recognition incorporation of local structure ...
Lengauer Thomas +2 more
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Performance Analysis of Deep Learning Methods for Protein Contact Prediction in CASP13
CLEI Electronic Journal, 2021 Protein structure prediction is one of the most important problems in Computational Biology; and consists of determining the 3D structure of a protein given its amino acid sequence.
Romina Valdez +3 more
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Introduction to Protein Structure Prediction [PDF]
, 2017 This chapter gives a graceful introduction to problem of protein three- dimensional structure prediction, and focuses on how to make structural sense out of a single input sequence with unknown structure, the 'query' or 'target' sequence.
Abeln, Sanne +2 more
core +1 more source
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
I-TASSER server for protein 3D structure prediction
BMC Bioinformatics, 2008 Background Prediction of 3-dimensional protein structures from amino acid sequences represents one of the most important problems in computational structural biology.
Zhang Yang
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