As a member of the syntaxin family, syntaxin 10 localizes to the trans-Golgi network (TGN) and play a potential part in regulating the manifestation profile of transferrin receptor (TfR) (31). structural BS-181 HCl and functional diversity, and govern cellular plasticity and dynamics. Types of PTMs include phosphorylation (1,2), sumoylation (3), ubiquitination and methylation. Compared to well-known and extensively studied protein phosphorylation (1,2), protein methylation attracts much less attention, despite the fact that it was found out nearly half a century ago (4). Protein methylation can improve the nitrogen atoms of either the backbone or side-chain (N-methylation) in several types of amino acids, such as lysine, arginine, histidine, alainine and asparagine, etc (5C11). Also, methylation happens at cysteine residues as S-methylation (12). With this field, the predominant studies have focused on modifications of lysine and arginine residues. Lysine residues can be mono-, di- or tri-methylated by histone lysine methyltransferases (HKMTs) (5,8,10,11). The methylation of lysine has been mostly analyzed in H3 and H4 histone proteins, which play essential roles in many biological processes, such as heterochromatin compaction, X-chromosome inactivation and transcriptional silencing or activation (5,10,11). Furthermore, the HKMTs also improve a variety of non-histone proteins with varied functions (5,8,10,11). For example, Arranged9 methylates a transcription element TAF10 to increase its interacting affinity for RNA polymerase II, which is definitely implicated in Rabbit Polyclonal to p55CDC transcriptional rules of TAF10 target genes (13). In addition, methylation of p53 by Arranged9 raises its stability and regulates the manifestation of p53-dependent genes (14). Furthermore, the activity of lysine methylation of cytosolic Ezh2-comprising methyltransferase complex is essential for receptor-induced actin business and proliferation (15). Therefore lysine methylation may also function in signaling processes. Protein methylation can also happen within the guanidino nitrogen atoms of arginine (6,7,9,10,16). Although arginine methylation can also improve the core histones and form histone code together with lysine methylation (5,11), the substrates of PRMTs are much more varied than HKMTs (6,7,10). Therefore protein arginine methylation may be involved in more practical processes. Indeed, arginine methylation takes on important roles BS-181 HCl in numerous cellular processes, including RNA processing, transcriptional regulation, transmission transduction and DNA restoration (6,7,10). For example, arginine methylation of SPT5 regulates its binding with RNA polymerase II to modulate the transcriptional elongation (17). And PMRT1 methylates NIP45, the nuclear element of triggered T cell (NFAT) cofactor protein, to play an essential part in cytokine gene transcription (18). In addition, like a potential part arginine safety, PRMTs may improve and guard the arginines against endogenous reactive methylglyoxal (9). Protein methylation is definitely a reversible type of PTM, just like phosphorylation and sumoylation. Recent study demonstrates LSD1 (lysine-specific demethylase 1) is responsible for the demethylation of histone H3 lysine 4 (5). Very recently, it has been verified that JHDM1 (JmjC domain-containing histone demethylase 1) is responsible for the demethylation of lysine 36 (19). Furthermore, peptidyl-arginine deiminase PAD4 is able to deiminate both unmodified arginine and monomethylarginine residues in histones into citrullines (6). The full degree of regulatory functions of protein methylation is still elusive. Importantly, recognition of methylated proteins with their sites will be a basis of understanding the molecular mechanism of protein methylation. Besides the standard experimental methods, such as mutagenesis of BS-181 HCl potential methylated residues, methylation-specific antibodies (20) and mass-spectrometry (21C23) have also been deployed. However, these experimental methods are laborious and expensive. Consequently computational prediction of methylation sites is much more desirable for its BS-181 HCl convenience and fast rate. Unfortunately, although many methods with satisfying accuracies have been developed to forecast phosphorylated protein sites (2,24), only one work, which focuses on only disordered regions of regarded as proteins, has been published on prediction of methylation sites (25). In this work, we provide a novel on-line tool for protein methylation site prediction of MeMo, protein Methylation.