Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and their Augmentation by Compact Peptide Sets. Liu et al.
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资源简介:
This dataset contains computational models and data for the following papers:
Predicted Cellular Immunity Population Coverage Gaps for SARS-CoV-2 Subunit Vaccines and their Augmentation by Compact Peptide Sets
Ge Liu, Brandon Carter, David K. Gifford
Cell Systems, 2020
https://doi.org/10.1016/j.cels.2020.11.010
Computationally Optimized SARS-CoV-2 MHC Class I and II Vaccine Formulations Predicted to Target Human Haplotype Distributions
Ge Liu, Brandon Carter, Trenton Bricken, Siddhartha Jain, Mathias Viard, Mary Carrington, David K. Gifford
Cell Systems, 2020
https://doi.org/10.1016/j.cels.2020.06.009
Additional source code is available at https://github.com/gifford-lab/optivax. Haplotype frequency data are available at http://dx.doi.org/10.17632/cfxkfy9zp4.1
Please cite the relevant papers if you use these data.
本数据集包含以下两篇论文对应的计算模型与实验数据:
新型冠状病毒(SARS-CoV-2)亚单位疫苗的细胞免疫群体覆盖缺口预测及紧凑型肽集的补强作用
Ge Liu, Brandon Carter, David K. Gifford
《细胞系统》(Cell Systems),2020年
https://doi.org/10.1016/j.cels.2020.11.010
经计算优化的、可靶向人类单倍型分布的新型冠状病毒(SARS-CoV-2)主要组织相容性复合体(Major Histocompatibility Complex)I类与II类疫苗配方
Ge Liu, Brandon Carter, Trenton Bricken, Siddhartha Jain, Mathias Viard, Mary Carrington, David K. Gifford
《细胞系统》(Cell Systems),2020年
https://doi.org/10.1016/j.cels.2020.06.009
额外的源代码可于 https://github.com/gifford-lab/optivax 获取。单倍型频率数据可于 http://dx.doi.org/10.17632/cfxkfy9zp4.1 获取。
若使用本数据集的相关数据,请引用对应论文。
创建时间:
2020-12-10



