Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences
about
Immunoinformatics comes of ageIdentification of conformational B-cell Epitopes in an antigen from its primary sequencePrediction of GTP interacting residues, dipeptides and tripeptides in a protein from its evolutionary informationComputational prediction of cleavage using proteasomal in vitro digestion and MHC I ligand data.CyclinPred: a SVM-based method for predicting cyclin protein sequences.Activation of Cdk2 stimulates proteasome-dependent truncation of tyrosine phosphatase SHP-1 in human proliferating intestinal epithelial cells.The landscape of BRAF transcript and protein variants in human cancer.Computational analysis and modeling of cleavage by the immunoproteasome and the constitutive proteasomeThe specificity of trimming of MHC class I-presented peptides in the endoplasmic reticulum.POPISK: T-cell reactivity prediction using support vector machines and string kernels.State of the art and challenges in sequence based T-cell epitope predictionPOPI: predicting immunogenicity of MHC class I binding peptides by mining informative physicochemical properties.Designing of interferon-gamma inducing MHC class-II binders.Accurate prediction of immunogenic T-cell epitopes from epitope sequences using the genetic algorithm-based ensemble learning.Immunoinformatics and epitope prediction in the age of genomic medicine.T-cell epitope vaccine design by immunoinformatics.Identification of T-cell epitopes for cancer immunotherapy.ProInflam: a webserver for the prediction of proinflammatory antigenicity of peptides and proteinsImmunoinformatics and modeling perspective of T cell epitope-based cancer immunotherapy: a holistic picture.Immunoinformatics: an integrated scenario.Towards in silico design of epitope-based vaccines.Novel in silico tools for designing peptide-based subunit vaccines and immunotherapeutics.Computational genomics tools for dissecting tumour-immune cell interactions.An Overview of Bioinformatics Tools and Resources in Allergy.Human self-protein CD8+ T-cell epitopes are both positively and negatively selectedPrediction of IL4 inducing peptidesComputer-aided designing of immunosuppressive peptides based on IL-10 inducing potential.Modeling the adaptive immune system: predictions and simulations.Fundamentals and Methods for T- and B-Cell Epitope Prediction.Proteasomal cleavage site prediction of protein antigen using BP neural network based on a new set of amino acid descriptor.
P2860
Q21145682-0A5D683E-73F6-4ABB-8E9C-66CCCDD7A65BQ24613680-4DFA8311-B081-422A-B854-0525E3585CABQ24632947-FADE6015-EABE-4850-9C35-83B52EEFBDE6Q30665275-CD23FBD2-4DF1-425E-993A-E66330778BECQ33348569-44855F26-0453-4253-89F5-45AE0EC8F98AQ33350768-B27AFFE9-0EC2-4D37-A32A-B7E4D03D8893Q33617734-80846940-AA9F-4D27-AE38-4BA98DF044A1Q33701031-28152240-E7BF-4D68-845F-900B0E94B7AAQ33791476-6B499F91-ED1D-40AA-8904-A1F6509A9F6AQ34074865-69365ABC-505D-4CC3-B8B1-C6B39FEBD965Q34312500-09F9B67A-CFCF-4E44-B9D8-C11432AD5DC1Q34612155-0A984916-3C1F-4397-8BB9-C1C93FCCBE98Q35058917-DEC39339-16D1-4561-A2EF-86830B700147Q35645154-59D2521C-91C7-42EF-AF37-8047A3612406Q36304147-33F8C52B-6DD8-4A6E-BBE1-3937429318A3Q36702419-E9B65795-A607-4268-815E-7F1669A7EA56Q36870592-5BEA8D2E-E597-40BD-9CB6-39B5A861DC8BQ37006535-5D7B279D-DDF6-4941-A500-51A2669E4737Q37606469-F5C81C1F-CD26-42EF-B636-E0B18E644CB0Q37781086-F74CE07B-6BE2-49E2-A537-271CA94A5C21Q38088325-8C30E612-ED1D-4842-B3C6-E814EA9A111AQ38789472-5E8DFA7E-FB39-4A9A-89F7-808DAAE690B3Q38885361-1EE7DF9F-2178-41BC-A3FD-8C80A0953E73Q39185706-C7238502-28D8-4569-8077-465EF0F00716Q41839973-64A94753-9FB4-4F26-AA4E-A10A0D9E6718Q41875438-9BB1C667-32BD-4C92-85A2-1E7B8F4FFAACQ42320886-3D0B5DC6-689E-467C-AC69-4B62DA5B92F7Q48372980-EAC97E7D-F696-4B44-B881-85CE69CDA3B3Q49594989-72EB65AF-0913-4399-A55A-02064551FF98Q51069555-EB5CA4DA-CF7C-40EF-B8B7-F59F11CBEAFA
P2860
Pcleavage: an SVM based method for prediction of constitutive proteasome and immunoproteasome cleavage sites in antigenic sequences
description
2005 nî lūn-bûn
@nan
2005 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի հուլիսին 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
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@ast
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@en
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@nl
type
label
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@ast
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@en
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@nl
prefLabel
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@ast
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@en
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@nl
P2860
P3181
P356
P1476
Pcleavage: an SVM based method ...... e sites in antigenic sequences
@en
P2093
G P S Raghava
Manoj Bhasin
P2860
P304
P3181
P356
10.1093/NAR/GKI587
P407
P433
Web Server issue
P577
2005-07-01T00:00:00Z