Prediction of proteasome cleavage motifs by neural networks.
By Can Kesmir, A. Nussbaum, H. Schild, Vincent Detours, Søren Brunak. Protein Engineering, 2002
320 citations recorded by the source corpus.
Subfields: Molecular Biology
View Paper: https://www.semanticscholar.org/paper/c08d71fc856be822deb8fb32e6dfe623481f8188
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In Molecular Biology
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Citations in the corpus
- Large-scale validation of methods for cytotoxic T-lymphocyte epitope prediction (2007, methodology): “0 method [30,31], which is an artificial neural network (ANN) trained on natural MHC class I ligand data.”
- An integrative approach to CTL epitope prediction: A combined algorithm integrating MHC class I binding, TAP transport efficiency, and proteasomal cleavage predictions (2005, unknown): “[9, 10]. presentation .”
- Enhancement to the RANKPEP resource for the prediction of peptide binding to MHC molecules using profiles (2004, methodology): “As noted by others, P1 followed by P1′ are the positions with the largest information content (Altuvia and Margalit 2000; Kesmir et al. 2002).”
- Properties of MHC Class I Presented Peptides That Enhance Immunogenicity (2013, methodology): “studied extensively [16–22], and data from these studies were used to construct successful processing-predictors [23–25].”
- Mass Spectrometry Profiling of HLA-Associated Peptidomes in Mono-allelic Cells Enables More Accurate Epitope Prediction (2017, background): “%) among 1,000,000 random proteome 9-mers evaluated by NetChop (Saxová et al., 2003).”
- The Immune Epitope Database and Analysis Resource in Epitope Discovery and Synthetic Vaccine Design (2017, methodology): “NetChop predicts C-terminal cleavage based on two approaches, either the C-term 3.0 method, which uses specificities for the C-terminals based on eluted MHC ligands, or the 20S 3.0 method, which uses the analysis of proteasomal cleavage digests similar to the combined predictor.”
- Sensitive quantitative predictions of peptide-MHC binding by a 'Query by Committee' artificial neural network approach. (2003, background): “The long-term goal should be to integrate MHC-I predictions with those of other steps involved in antigen processing and presentation including peptide generation by proteasome digestion (37) (www.”