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GPS-PAIL:从蛋白质序列预测赖氨酸乙酰转移酶特异性修饰位点。

GPS-PAIL: prediction of lysine acetyltransferase-specific modification sites from protein sequences.

机构信息

Key Laboratory of Molecular Biophysics of Ministry of Education, College of Life Science and Technology and the Collaborative Innovation Center for Brain Science, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

Sun Yat-sen University Cancer Center, Guangzhou, Guangdong 510060, China.

出版信息

Sci Rep. 2016 Dec 22;6:39787. doi: 10.1038/srep39787.

Abstract

Protein acetylation catalyzed by specific histone acetyltransferases (HATs) is an essential post-translational modification (PTM) and involved in the regulation a broad spectrum of biological processes in eukaryotes. Although several ten thousands of acetylation sites have been experimentally identified, the upstream HATs for most of the sites are unclear. Thus, the identification of HAT-specific acetylation sites is fundamental for understanding the regulatory mechanisms of protein acetylation. In this work, we first collected 702 known HAT-specific acetylation sites of 205 proteins from the literature and public data resources, and a motif-based analysis demonstrated that different types of HATs exhibit similar but considerably distinct sequence preferences for substrate recognition. Using 544 human HAT-specific sites for training, we constructed a highly useful tool of GPS-PAIL for the prediction of HAT-specific sites for up to seven HATs, including CREBBP, EP300, HAT1, KAT2A, KAT2B, KAT5 and KAT8. The prediction accuracy of GPS-PAIL was critically evaluated, with a satisfying performance. Using GPS-PAIL, we also performed a large-scale prediction of potential HATs for known acetylation sites identified from high-throughput experiments in nine eukaryotes. Both online service and local packages were implemented, and GPS-PAIL is freely available at: http://pail.biocuckoo.org.

摘要

由特定组蛋白乙酰转移酶 (HAT) 催化的蛋白质乙酰化是一种重要的翻译后修饰 (PTM),参与真核生物中广泛的生物过程的调控。尽管已经实验鉴定了数万个人类蛋白质乙酰化位点,但大多数位点的上游 HAT 仍不清楚。因此,鉴定 HAT 特异性的乙酰化位点对于理解蛋白质乙酰化的调控机制至关重要。在这项工作中,我们首先从文献和公共数据资源中收集了 702 个已知的 205 个蛋白质的 HAT 特异性乙酰化位点,并进行了基于模体的分析,结果表明不同类型的 HAT 对底物识别具有相似但明显不同的序列偏好。我们使用 544 个人类 HAT 特异性位点进行训练,构建了一个非常有用的 GPS-PAIL 工具,用于预测多达七种 HAT(包括 CREBBP、EP300、HAT1、KAT2A、KAT2B、KAT5 和 KAT8)的 HAT 特异性位点。我们对 GPS-PAIL 的预测准确性进行了严格评估,结果表现令人满意。使用 GPS-PAIL,我们还对来自九种真核生物的高通量实验中鉴定的已知乙酰化位点的潜在 HAT 进行了大规模预测。我们同时实现了在线服务和本地包,GPS-PAIL 可在以下网址免费获取:http://pail.biocuckoo.org。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/456b/5177928/b9f13326661b/srep39787-f1.jpg

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