Prediction of amyloid fibril-forming segments based on a support vector machine
about
Prediction of Peptide and Protein Propensity for Amyloid FormationUsing simple artificial intelligence methods for predicting amyloidogenesis in antibodiesPredicting changes in protein thermostability brought about by single- or multi-site mutationsStructural characterization of semen coagulum-derived SEM1(86-107) amyloid fibrils that enhance HIV-1 infection.PASTA 2.0: an improved server for protein aggregation prediction.Exploiting heterogeneous features to improve in silico prediction of peptide status - amyloidogenic or non-amyloidogenic.Cooperativity among short amyloid stretches in long amyloidogenic sequencesA consensus method for the prediction of 'aggregation-prone' peptides in globular proteins.Discordant and chameleon sequences: their distribution and implications for amyloidogenicity.Identification of properties important to protein aggregation using feature selection.MetAmyl: a METa-predictor for AMYLoid proteinsOn the amyloid datasets used for training PAFIG--how (not) to extend the experimental dataset of hexapeptides.Sequence complexity of amyloidogenic regions in intrinsically disordered human proteins.Amyloid properties of the mouse egg zona pellucidaUse of a Novel Grammatical Inference Approach in Classification of Amyloidogenic Hexapeptides.Hot spots in apolipoprotein A-II misfolding and amyloidosis in mice and men.Protein aggregation and amyloid fibril formation prediction software from primary sequence: towards controlling the formation of bacterial inclusion bodies.Motif mining: an assessment and perspective for amyloid fibril prediction tool.Bioinformatics aggregation predictors in the study of protein conformational diseases of the human nervous system.Amyloid-based nanosensors and nanodevices.Amyloid-Forming Properties of Human Apolipoproteins: Sequence Analyses and Structural InsightsMining databases for protein aggregation: a review.Understanding and predicting protein misfolding and aggregation: Insights from proteomics.Protein stability: a single recorded mutation aids in predicting the effects of other mutations in the same amino acid site.Cystatin-related epididymal spermatogenic subgroup members are part of an amyloid matrix and associated with extracellular vesicles in the mouse epididymal lumen.Deducing the functional characteristics of the human selenoprotein SELK from the structural properties of its intrinsically disordered C-terminal domain.AmylPepPred: Amyloidogenic Peptide Prediction tool.Mutation probability of cytochrome P450 based on a genetic algorithm and support vector machine.The Relation between α-Helical Conformation and Amyloidogenicity.Prediction of “Aggregation-Prone” Peptides with Hybrid Classification Approach
P2860
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P2860
Prediction of amyloid fibril-forming segments based on a support vector machine
description
2009 nî lūn-bûn
@nan
2009 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Prediction of amyloid fibril-forming segments based on a support vector machine
@ast
Prediction of amyloid fibril-forming segments based on a support vector machine
@en
type
label
Prediction of amyloid fibril-forming segments based on a support vector machine
@ast
Prediction of amyloid fibril-forming segments based on a support vector machine
@en
prefLabel
Prediction of amyloid fibril-forming segments based on a support vector machine
@ast
Prediction of amyloid fibril-forming segments based on a support vector machine
@en
P2093
P2860
P1433
P1476
Prediction of amyloid fibril-forming segments based on a support vector machine
@en
P2093
P2860
P2888
P356
10.1186/1471-2105-10-S1-S45
P478
10 Suppl 1
P50
P577
2009-01-30T00:00:00Z
P6179
1026414399