参考文献 ACME: pan-specific peptide–MHC class Ibinding prediction through attention-based deep neural networks .Bioinformatics,Volume 35, Issue 23, 1 December 2019, Pages 4946–4954 https://academic.oup.com/bioinformatics/article/35/23/4946/5497763 转载或合作请联系邮箱 intbioinfo@163.com ...
参考资料 ACME: pan-specific peptide–MHC class I binding prediction through attention-based deep neural networks .Bioinformatics, Volume 35, Issue 23, 1 December 2019, Pages 4946–4954 https://academic.oup.com/bioinformatics/article/35/23/4946/5497763...
Here, KernelRLSpan is modified and applied to MHC I binding prediction, which we refer to as KernelRLSpanI. Besides this, we develop a novel consensus method to predict naturally processed peptides through integrating KernelRLSpanI with two state-of-the-art predictors NetMHCpan and NetMHC. The...
(2004) MHC class I epitope binding prediction trained on small data sets. In, Proceedings for the third ICARIS meeting September 2004. Springer-Verlag, New York.Lundegaard,C. et al. (2004) MHC class I epitope binding prediction trained on small data sets. In Artificial Immune Systems, ...
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. ...
(MHC I) proteins on cell surfaces. There are thousands of MHC I alleles in the human population, each with specificity for binding a distinct set of peptides, which, when displayed by MHC, can be the target of an immune response. Computational prediction of thebinding affinitybetween a ...
MHC class II binding peptides hav... M Nielsen,Claus Lundegaard,Peder Worning,... - 《Bioinformatics》 被引量: 436发表: 2004年 Improved prediction of MHC class I and class II epitopes using a novel Gibbs sampling approach N2 - Prediction of which peptides will bind a specific major ...
阅读文献:MHCSeqNet:a deep neural networkmodel for universal MHC binding prediction,程序员大本营,技术文章内容聚合第一站。
MHC I 类五聚体专为这些目标而设计。它们直接结合特定特异性的 T 细胞受体,由主要组织相容性复合体 (MHC) 等位基因和肽组合决定。Pro5® 五聚体可用于检测和分离抗原特异性 CD8+ T 细胞群,少至 0.02% 的淋巴细胞。它们也适用于详细的表位表征和进一步的免疫监测。
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 informativen-grams based on their frequencies for both classes. In the next step, the alphabet size is reduced. At the last step, by ...