数据链接：
官方服务：
资源简介：
Dataset of PET degrading enzymes with some experimental evidence.
应用场景：
创建时间：
2022-01-01
相关数据集
GRIMM
GRIMM是由佐治亚大学团队开发的酶功能预测基准数据集，基于UniProt/SwissProt数据库中的原核生物氨基酸序列构建，包含185,418条训练序列和52,003条测试序列（含开放集测试）。该数据集通过遗传分层技术（UniRef50聚类）确保训练与测试集间的序列相似性隔离，并划分封闭集（Test-1）和开放集（Test-2）以评估模型对新酶功能的发现能力。其创新性在于将生物建模中隐式的序列
arXiv2026-02-18 更新370
Mealworm and superworm gut microbiota
In this study, we tested for effects of polystyrene consumption on alpha- and beta-diversity of the gut microbiome in mealworms (Tenebrio molitor) and superworms (Zophobas morio). At the start of the
NIAID Data Ecosystem40
Distinct Microbial Communities Degrade Cellulose Diacetate Plastics in the Coastal Ocean
This study aims to identify the plastic-degrading bacteria in the ocean.
NIAID Data Ecosystem30
A marine bacterial community that degrades polyethylene
Plastic debris in the environment poses a significant threat because of its resistivity to photooxidative, thermal, mechanical and biological processes. This micobial flora can grow on plastic debris
NIAID Data Ecosystem70
REMME & REBEAN scripts and models
We introduce two LMs, a pretrained foundation model REMME, aimed at understanding the DNA context of metagenomic reads, and the fine-tuned REBEAN for predicting the enzymatic potential encoded within
NIAID Data Ecosystem30
