The recent kernel-based algorithm KernelRLSpan (Shen et al., 2013) shows promising power on MHC II binding prediction. 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 ...
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...
Improved MHC II Ligand Prediction by Combining Cleavage Motifs and Binding Motifs 我们想看看将基于切割基序的评分与MHC结合预测相结合是否会提高预测MHC II配体的整体能力。 因此,我们将基于上面得出的切割概率得分的切割基序与先前建立的“ 7-等位基因方法”结合起来,该方法用于预测与MHC II等位基因的结合(49)。
MHC class II binding prediction. Contribute to artyomovlab/hmmhc development by creating an account on GitHub.
本文以MHC II类亲和肽预测为研究目标，提出基于集成神经网络的新MHC II类亲和肽预测算法MHC2NNZ，该方法包含了两种新的特征提取方法。在标准数据集上的性能测试表明本算法具有良好的性能。本文的创新性工作具体如下：（一）提出一种新多肽两侧区域（PFR）特征提取方法。新PFR特征提取方法采用z描述符物理化学特征提取PFR...
Here we illustrate the utility of existing computational tools for in silico prediction of peptides binding to class II MHCs. Most of the methods, tested in the present study, detect more than the half of the true binders in the top 5% of all possible nonamers generated from one protein. ...
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...
[关键词]扎伊尔埃博拉病毒(EB0V);泛主要组织相溶性复合体II (pan-MHC II )限制性表位；表位预测；保守性分析；分子对接 [中图分类号]R373.9, R392. 1[文献标志码]A Prediction and verification of pan-MHC II restricted epitopes in the glycoprotein of Zaire Ebola virus LIU Yang I A,SUN Hao1A ,...
一 .MHC—II类抗原表位预测软件的对比评价* 李胜涛,刘昌文,邹泽红,陶爱林△ (广州医学院第二附属医院,广州510260)摘要:比较不同MHC—II类抗原表位预测软件的优缺点,为后续应用提供依据.在众多mA—II类抗原 表位中,选取ⅢA—DR的6个表位(DRB10101,03O1,0401,0701,1101和1501)为代表,选取MHCBN数据 库中的309条...
sandHLAloci.However.theepitopepredictingresultsfromdifferentsoftwaresw{~reinconsistentoneachsingleIlialoci.ThepooledresultsbyeachsofewareshowedthattheNetMHCIIandNetMHCIIpanproducedthehighestaccuracytopredictMI-IC—IIantigenepitopes.NetMHCIIpanandNetMHCI1wouldbethebestinthepredictionofMHCclassIIbindingepitopes....