首页/数据集/Supplementary Table 1: An approach to identifying quality research antibodies.docx

Supplementary Table 1: An approach to identifying quality research antibodies.docx

NIAID Data Ecosystem2026-03-14 收录

数据链接：

https://figshare.com/articles/dataset/Supplementary_Table_1_An_approach_to_identifying_quality_research_antibodies_docx/21196348 数据链接链接失效反馈

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资源简介：

Supplementary Table 1: General classes of antibodies

应用场景：

创建时间：

2022-09-23

抗体分类

深度学习

Statistical summary for 80 DNN models used for classification of 28 antibodies belonging to ten family lineages using fingerprints colored according to the charge coloring code.

NIAID Data Ecosystem80

SeroNIST classification boundary based on three antibodies.

血清分型

抗体分类

SeroNIST classification boundary based on three antibodies.

Digital Science - Figshare2026-03-27 更新70

Statistical summary of 13 DNN models trained to distinguish Abs from a specific family lineage from a large Ab set using the Robust Convolutional Autoencoder (RCAE) one-class classification method.

抗体分类

深度学习模型性能

Statistical summary of 13 DNN models trained to distinguish Abs from a specific family lineage from a large Ab set using the Robust Convolutional Autoencoder (RCAE) one-class classification method.

Figshare2021-03-29 更新40

High-throughput deep mutational scanning of SARS-CoV-2 RBD neutralizing antibodies for epitope identification and antibody classification with yeast surface display and MACS-based selection. Raw sequence reads

抗体表位鉴定

抗体分类

High-throughput deep mutational scanning of SARS-CoV-2 RBD neutralizing antibodies for epitope identification and antibody classification with yeast surface display and MACS-based selection.

NIAID Data Ecosystem70

Supplementary Table 1: An approach to identifying quality research antibodies.docx

抗体质量评估

生物医学试剂分类

Supplementary Table 1: General classes of antibodies

DataCite Commons2024-05-16 更新50