数据链接：
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资源简介：
Deep Mutational Scanning of SARS-CoV-2 PLpro
应用场景：
创建时间：
2024-08-07
相关数据集
Additional file 3 of A statistical framework for analyzing deep mutational scanning data
Replicate correlation tables. (XLSX 11 kb)
NIAID Data Ecosystem100
Fitness and functional landscapes of the E. coli RNase III gene rnc. Escherichia coli
The relationships between protein sequence, protein structure, protein function, and organismal fitness are key to understanding the molecular basis for the fitness effects of mutations. How protein p
NIAID Data Ecosystem70
Deep mutational scanning reveals pharmacologically relevant insights into TYK2 signaling and disease
This record contains supplementary data files related to Deep mutational scanning to characterize the mechanistic role of TYK2 in immune signaling and disease, described below. - tyk2.bcmap-final.
Zenodo2025-10-13 更新40
Additional file 7 of Optimization of a deep mutational scanning workflow to improve quantification of mutation effects on protein–protein interactions
Supplementary Material 7.
NIAID Data Ecosystem70
SeprotHub/Dataset-RASH_HUMAN
该数据集包含了人类RASH蛋白质单点突变及其对应的突变效应分数，这些分数来自于深度突变扫描实验。蛋白质的格式为氨基酸序列。数据集分为训练集、验证集和测试集，分别包含2479、338和317个样本。标签表示基于深度突变扫描实验的每个蛋白质的突变效应分数，范围从负无穷大到正无穷大，其中0代表野生型的值，数值越大表示适应性越高。
Hugging Face2025-05-13 更新70
