如何预测蛋白质甲基化位点

如何预测蛋白质甲基化位点

How to predict methylation sites on proteins

         蛋白质甲基化是指将甲基通过酶促转移到蛋白质残基上，通常是赖氨酸或精氨酸。根据转移甲基的数量，赖氨酸残基可以发生单、双或三甲基化修饰，而精氨酸残基可以发生单甲基化或二甲基化修饰。组蛋白甲基化在调控染色质结构和基因转录活性中发挥重要的作用。非组蛋白甲基化则参与调控蛋白质-蛋白质、蛋白质-DNA和蛋白质-RNA相互作用，蛋白质稳定性，蛋白质活性以及亚细胞定位。甲基转移酶（如赖氨酸甲基转移酶KMT和精氨酸甲基转移酶PRMT）促进蛋白甲基化，而去甲基化酶（如LSD1和JmjC家族去甲基化酶）则抑制蛋白甲基化。在研究蛋白质甲基化之前，如果能先预测蛋白质甲基化位点，后面的研究将事半功倍。本文将讲解如何预测蛋白质甲基化位点。

Protein methylation refers to the enzymatic transfer of methyl groups to protein residues, usually lysine or arginine. According to the number of transferred methyl groups, lysine residues can undergo mono-, di-, or tri-methylation modifications, while arginine residues can undergo mono-methylation or di-methylation modifications. Histone methylation plays an important role in regulating chromatin structure and gene transcriptional activity. Non histone methylation is involved in regulating protein-protein, protein-DNA, and protein-RNA interactions, protein stability, protein activity, and subcellular localization. Methyltransferases (such as lysine methyltransferase KMT and arginine methyltransferase PRMT) promote protein methylation, while demethylases (such as LSD1 and JmjC family demethylases) inhibit protein methylation. If protein methylation sites could be predicted, subsequent research would be twice as efficient. This article shows how to predict methylation sites on proteins.

利用DeepMVP预测蛋白质甲基化位点步骤如下：

The steps for predicting methylation sites on proteins by DeepMVP are as follows:

1 从https://deepmvp.ptmax.org/网址进入DeepMVP

1 Enter DeepMVP from https://deepmvp.ptmax.org/

2点击“Analyze”，“PTM type”选择“Methylation(K/R)”，“Prediction”选择“PTM”

2 Click “Analyze”，select “Methylation(K/R)” in “PTM type” and “PTM” in “Prediction”

3 以FASTA格式输入或上传蛋白质（人DICER1）序列，开始

3 Enter or upload protein sequence (Human DICER1) in FASTA format, start

4 查看结果

4 View results

5选择位点（y_pred≥0.9）

5 Choose sites (y_pred≥0.9)