Prediction of MHC Class I Binding Peptides with a New Feature Encoding Technique. Cellular Immunology. Vol. 275. Pages. 1-4.Gok M, Ozcerit AT (2012) Prediction of MHC class I binding peptides with a new feature encoding technique. Cell Immunol 275(1–2):1–4. : 10.1016/j.cellimm....
The class I major histocompatibility complex (MHC) is capable of binding peptides derived from intracellular proteins and displaying them at the cell surface. The recognition of these peptide-MHC (pMHC) complexes by T-cells is the cornerstone of cellular immunity, enabling the elimination of infecte...
Using a chemically homogeneous radiolabeled peptide of high specific activity (125I-QLSPYPFDL, 3.5 x 10(18) cpm per mole) we show that at a peptide concent... Y Sykulev,M Joo,I Vturina,... - 《Immunity》 被引量: 995发表: 1996年 Improved prediction of MHC class I and class II ep...
In this paper, we proposed a new method for predicting the affinity of the MHC Class II binding peptides based on their sequences. Our method classifies peptides as binding and non-binding. Our prediction method is based on a 3-step algorithm. In the first step we identify the informative...
Reliable and ultra-fast DNA and RNA sequencing have been achieved with the emergence of high-throughput sequencing technology. When combining the results of DNA and RNA sequencing for tumor cells of cancer patients, neoantigens that potentially stimulate
Using this measure, a value of 0 corresponds to a perfect prediction (the known epitope is identified with the highest predicted binding value among all peptides found within the source protein) and a value of 0.5 to random prediction. For HLA class II all CD4+ epitopes measured by ...
MHCflurry implements class I peptide/MHC binding affinity prediction. The current version provides pan-MHC I predictors supporting any MHC allele of known sequence. MHCflurry runs on Python 3.9+ using thetensorflowneural network library. It exposescommand-lineandPython libraryinterfaces. ...
This study aims to build trust in MHC class I predictors by providing human-interpretable explanations. The explanations were assessed for accuracy, consistency across prediction models, and stability with similar peptides. Piyush Borole Ajitha Rajan ...
135 describes a matrix-based algorithm that ranks peptides for likelihood of binding to any given HLA-A allele. Similarly, most prediction methods are limited to a set of alleles. Consequently, the predicted peptides may not bind to MHC monomers from a whole population of patients and thus ...
Prediction of binding to MHC class I molecules The binding of antigenic peptide sequences to major histocompatibility complex (MHC) molecules is a prerequisite for stimulation of cytotoxic T cell respon... HP Adams,JA Koziol - 《Journal of Immunological Methods》 被引量: 218发表: 1995年 Predictio...