Prediction of the disulfide-bonding state of cysteine in proteins.
about
Identification of ribosome binding sites in Escherichia coli using neural network modelsDiANNA: a web server for disulfide connectivity prediction.A word of caution about biological inference - Revisiting cysteine covalent state predictions.Hyperdimensional analysis of amino acid pair distributions in proteins.Protein disulfide topology determination through the fusion of mass spectrometric analysis and sequence-based prediction using Dempster-Shafer theory.Analysis on conservation of disulphide bonds and their structural features in homologous protein domain familiesStabilization of human immunodeficiency virus type 1 envelope glycoprotein trimers by disulfide bonds introduced into the gp41 glycoprotein ectodomainScrambling of autoinducing precursor peptides investigated by infrared multiphoton dissociation with electrospray ionization and Fourier transform ion cyclotron resonance mass spectrometry.Dinosolve: a protein disulfide bonding prediction server using context-based features to enhance prediction accuracy.Separated at birth? The functional and molecular divergence of OLIG1 and OLIG2.Prediction of the disulfide-bonding state of cysteines in proteins at 88% accuracy.Servers for sequence-structure relationship analysis and prediction.Marked differences in the structures and protein associations of lymphocyte and monocyte CD4: resolution of a novel CD4 isoform.Neural networks predict protein folding and structure: artificial intelligence faces biomolecular complexity.GPIHBP1 missense mutations often cause multimerization of GPIHBP1 and thereby prevent lipoprotein lipase binding.Prediction and Fourier-transform infrared-spectroscopy estimation of the secondary structure of a recombinant beta-glucosidase from Streptomyces sp. (ATCC 11238).Predicting the disulfide bonding state of cysteines using protein descriptors.CMD: A Database to Store the Bonding States of Cysteine Motifs with Secondary Structures.Self-organized neural maps of human protein sequences.Predicting disulfide bond connectivity in proteins by correlated mutations analysis.Unearthing the root of amino acid similarity.Methionine metabolism and multiple sclerosis.
P2860
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P2860
Prediction of the disulfide-bonding state of cysteine in proteins.
description
1990 nî lūn-bûn
@nan
1990年の論文
@ja
1990年学术文章
@wuu
1990年学术文章
@zh-cn
1990年学术文章
@zh-hans
1990年学术文章
@zh-my
1990年学术文章
@zh-sg
1990年學術文章
@yue
1990年學術文章
@zh
1990年學術文章
@zh-hant
name
Prediction of the disulfide-bonding state of cysteine in proteins.
@en
Prediction of the disulfide-bonding state of cysteine in proteins.
@nl
type
label
Prediction of the disulfide-bonding state of cysteine in proteins.
@en
Prediction of the disulfide-bonding state of cysteine in proteins.
@nl
prefLabel
Prediction of the disulfide-bonding state of cysteine in proteins.
@en
Prediction of the disulfide-bonding state of cysteine in proteins.
@nl
P2093
P356
P1476
Prediction of the disulfide-bonding state of cysteine in proteins.
@en
P2093
P304
P356
10.1093/PROTEIN/3.8.667
P577
1990-08-01T00:00:00Z