如何预测蛋白质磷酸化位点

如何预测蛋白质磷酸化位点

How to predict phosphorylation sites on proteins

磷酸化是最常见的蛋白质修饰，对蛋白质和细胞功能发挥着的关键的调控作用。磷酸化主要发生在丝氨酸（Ser），苏氨酸（Thr）和酪氨酸（Tyr）。在研究蛋白质磷酸化之前，如果能先预测蛋白质磷酸化位点，后面的研究将事半功倍。本文将讲解如何预测蛋白质磷酸化位点。

Phosphorylation is the most frequent protein modification that plays important regulatory roles in protein and cellular function. Phosphorylation mainly occurs on serine (Ser), threonine (Thr), and tyrosine (Tyr) residues. If protein phosphorylation sites could be predicted, subsequent research would be twice as efficient. This article shows how to predict phosphorylation sites on proteins.

利用Group-based Prediction System (GPS) 6.0 预测蛋白质磷酸化位点步骤如下：

The steps for predicting phosphorylation sites on proteins by Group-based Prediction System (GPS) 6.0 are as follows:

1 从https://gps.biocuckoo.cn/index.php网址进入GPS 6.0

1 Enter GPS 6.0 from https://gps.biocuckoo.cn/index.php

2 点击“WEB SERVER”

2 Click “WEB SERVER”

3 以FASTA格式输入蛋白质（人DICER1）序列

3 Enter protein sequence (Human DICER1) in FASTA format

4 选择激酶和阈值，提交

4 Select the kinase(s) and threshold, submit

5 查看结果

5 View results

此外，还可以用NetPhos-3.1预测蛋白质磷酸化位点，步骤如下：

Besides, phosphorylation sites on proteins also could be predicted by NetPhos-3.1, and steps are as follows:

1 从https://services.healthtech.dtu.dk/services/NetPhos-3.1/网址进入NetPhos-3.1

1 Enter NetPhos-3.1 from https://services.healthtech.dtu.dk/services/NetPhos-3.1/

2点击“Submission”，以FASTA格式输入人DICER1蛋白质序列或上传FASTA格式的序列文件

2 Input human DICER1 sequence in FASTA format or upload the FASTA file of human DICER1 sequence

3 设置输出参数，提交

3 Set output parameters, submit

4 查看结果

4 View results

另外，还可以利用BioGRID查询已知的蛋白质磷酸化位点，步骤如下：

Additionally, BioGRID also could be used to query known phosphorylation sites on proteins, and steps are as follows:

1从https://thebiogrid.org/网址进入BioGRID

1 Enter BioGRID from https://thebiogrid.org/

2输入蛋白质名称（DICER1），选择物种（人类），搜索

2 Input the protein name (DICER1)，select an organism (Homo sapiens), search

3点击“PTM sites”查看结果

3 Click “PTM sites” to view results