five

iLIR database: A web resource for LIR motif-containing proteins in eukaryotes|自噬数据集|蛋白质组学数据集

收藏
DataCite Commons2020-09-04 更新2024-07-25 收录
自噬
蛋白质组学
下载链接:
https://tandf.figshare.com/articles/dataset/iLIR_database_a_web_resource_for_LIR_motif-containing_proteins_in_eukaryotes/3510203
下载链接
链接失效反馈
资源简介:
Atg8-family proteins are the best-studied proteins of the core autophagic machinery. They are essential for the elongation and closure of the phagophore into a proper autophagosome. Moreover, Atg8-family proteins are associated with the phagophore from the initiation of the autophagic process to, or just prior to, the fusion between autophagosomes with lysosomes. In addition to their implication in autophagosome biogenesis, they are crucial for selective autophagy through their ability to interact with selective autophagy receptor proteins necessary for the specific targeting of substrates for autophagic degradation. In the past few years it has been revealed that Atg8-interacting proteins include not only receptors but also components of the core autophagic machinery, proteins associated with vesicles and their transport, and specific proteins that are selectively degraded by autophagy. Atg8-interacting proteins contain a short linear LC3-interacting region/LC3 recognition sequence/Atg8-interacting motif (LIR/LRS/AIM) motif which is responsible for their interaction with Atg8-family proteins. These proteins are referred to as LIR-containing proteins (LIRCPs). So far, many experimental efforts have been carried out to identify new LIRCPs, leading to the characterization of some of them in the past 10 years. Given the need for the identification of LIRCPs in various organisms, we developed the iLIR database (https://ilir.warwick.ac.uk) as a freely available web resource, listing all the putative canonical LIRCPs identified in silico in the proteomes of 8 model organisms using the iLIR server, combined with a Gene Ontology (GO) term analysis. Additionally, a curated text-mining analysis of the literature permitted us to identify novel putative LICRPs in mammals that have not previously been associated with autophagy.
提供机构:
Taylor & Francis
创建时间:
2016-08-03
用户留言
有没有相关的论文或文献参考?
这个数据集是基于什么背景创建的?
数据集的作者是谁?
能帮我联系到这个数据集的作者吗?
这个数据集如何下载?
点击留言
数据主题
具身智能
数据集  4099个
机构  8个
大模型
数据集  439个
机构  10个
无人机
数据集  37个
机构  6个
指令微调
数据集  36个
机构  6个
蛋白质结构
数据集  50个
机构  8个
空间智能
数据集  21个
机构  5个
5,000+
优质数据集
54 个
任务类型
进入经典数据集
热门数据集

OpenPose

OpenPose数据集包含人体姿态估计的相关数据,主要用于训练和评估人体姿态检测算法。数据集包括多视角的图像和视频,标注了人体关键点位置,适用于研究人体姿态识别和动作分析。

github.com 收录

广东省标准地图

该数据类主要为广东省标准地图信息。标准地图依据中国和世界各国国界线画法标准编制而成。该数据包括广东省全图、区域地图、地级市地图、县(市、区)地图、专题地图、红色印迹地图等分类。

开放广东 收录

LogiQA

LogiQA 包含 8,678 个 QA 实例,涵盖多种类型的演绎推理。结果表明,最先进的神经模型的性能远远低于人类天花板。该数据集还可以作为在深度学习 NLP 设置下重新研究逻辑 AI 的基准。

OpenDataLab 收录

Global Burden of Disease Study (GBD)

全球疾病负担研究(GBD)数据集提供了全球范围内疾病、伤害和风险因素的详细统计数据。该数据集包括了各种健康指标,如死亡率、发病率、伤残调整生命年(DALYs)等,涵盖了多个国家和地区。数据集还提供了不同年龄组、性别和时间段的详细分析。

ghdx.healthdata.org 收录

CWRU Bearing Dataset

用于训练CNN和LSTM的轴承数据集,用于电机故障检测。

github 收录