about
Advantages of combined transmembrane topology and signal peptide prediction--the Phobius web serverCompositions of fungal secretomes indicate a greater impact of phylogenetic history than lifestyle adaptation.Characterization of the deleted in autism 1 protein family: implications for studying cognitive disorders.Equipping Physiologists with an Informatics Tool Chest: Toward an Integerated Mitochondrial Phenome.A comprehensive assessment of N-terminal signal peptides prediction methods.Candidate serum biomarkers for prostate adenocarcinoma identified by mRNA differences in prostate tissue and verified with protein measurements in tissue and bloodA PATO-compliant zebrafish screening database (MODB): management of morpholino knockdown screen information.Prediction of disease-related mutations affecting protein localization.Validating subcellular localization prediction tools with mycobacterial proteins.Comparative analysis of secreted protein evolution using expressed sequence tags from four poplar leaf rusts (Melampsora spp.).DIA1R is an X-linked gene related to Deleted In Autism-1.Cancer secretomics reveal pathophysiological pathways in cancer molecular oncologyLessons from morpholino-based screening in zebrafish.Non-native, N-terminal Hsp70 molecular motor recognition elements in transit peptides support plastid protein translocation.Identification of Circulating Biomarker Candidates for Hepatocellular Carcinoma (HCC): An Integrated Prioritization Approach.Identification of effector-like proteins in Trichoderma spp. and role of a hydrophobin in the plant-fungus interaction and mycoparasitism.Elucidation of the CHO Super-Ome (CHO-SO) by Proteoinformatics.Interspecies gene transfer provides soybean resistance to a fungal pathogen.Whole proteome identification of plant candidate G-protein coupled receptors in Arabidopsis, rice, and poplar: computational prediction and in-vivo protein coupling.Evaluation of Secretion Prediction Highlights Differing Approaches Needed for Oomycete and Fungal Effectors.Computational Methods for Predicting Effectors in Rust Pathogens.Meta-prediction of protein subcellular localization with reduced votingThe zebrafish secretome.PROlocalizer: integrated web service for protein subcellular localization prediction.An experimental approach for the identification of conserved secreted proteins in trypanosomatids.Meta-prediction of phosphorylation sites with weighted voting and restricted grid search parameter selection.Protein Sorting Prediction.Predicting Subcellular Localization of Proteins by Bioinformatic Algorithms.Predicting Secretory Proteins with SignalP.Comparative systems analysis of the secretome of the opportunistic pathogen Aspergillus fumigatus and other Aspergillus species.Rust Effectors
P2860
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P2860
description
2005 nî lūn-bûn
@nan
2005 թուականի Հոկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հոտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Evaluating eukaryotic secreted protein prediction
@nl
Evaluating eukaryotic secreted protein prediction.
@ast
Evaluating eukaryotic secreted protein prediction.
@en
type
label
Evaluating eukaryotic secreted protein prediction
@nl
Evaluating eukaryotic secreted protein prediction.
@ast
Evaluating eukaryotic secreted protein prediction.
@en
prefLabel
Evaluating eukaryotic secreted protein prediction
@nl
Evaluating eukaryotic secreted protein prediction.
@ast
Evaluating eukaryotic secreted protein prediction.
@en
P2860
P356
P1433
P1476
Evaluating eukaryotic secreted protein prediction.
@en
P2093
Eric W Klee
Lynda B M Ellis
P2860
P2888
P356
10.1186/1471-2105-6-256
P407
P577
2005-10-14T00:00:00Z
P5875
P6179
1036012600