Protein methylation is one type of reversible post-translational modifications (PTMs), which plays vital roles in many cellular processes such as transcription activity, DNA repair. Experimental identification of methylation sites on proteins without prior knowledge is costly and time-consuming. In silico prediction of methylation sites might not only provide researches with information on the candidate sites for further determination, but also facilitate to perform downstream characterizations and site-specific investigations.
Source text:
(Shao et al., 2009) Computational identification of protein methylation sites through bi-profile Bayes feature extraction. PLoS One.
A tool based on information gain (IG) feature optimization method for…
A tool based on information gain (IG) feature optimization method for species-specific methylation site prediction. The IG method was adopted to analyze the importance and contribution of each…
Identifies multiple lysine post-translational modification (PTM) sites and…
Identifies multiple lysine post-translational modification (PTM) sites and their different types. iPTM-mLys represents the first multi-label PTM predictor ever established. The novel predictor is…
Identifies methylation sites based on an enhanced feature encoding scheme for…
Identifies methylation sites based on an enhanced feature encoding scheme for extracting the most informative amino acids features. PMes is an enhanced feature encoding scheme that incorporates the…
Predicts lysine methylation and lysine acetylation only from the protein…
Predicts lysine methylation and lysine acetylation only from the protein primary sequence. PLMLA is an algorithm implemented in a web app that consider not only protein sequence information but also…
A homology-based pipeline that allows identification of potential modification…
A homology-based pipeline that allows identification of potential modification sites for most of the proteomes lacking post-translational modifications (PTMs) data. PTMProber provides a unique…
Predicts methylation sites in proteins. With the assistance of SVM, the…
Predicts methylation sites in proteins. With the assistance of SVM, the highlight of iMethyl-PseAAC is to employ amino acid sequence features extracted from the sequence evolution information via…
A web tool for identifying the protein methylation site based on the accessible…
A web tool for identifying the protein methylation site based on the accessible surface area (ASA) which is surrounding the modification site. MASA combines the support vector machine with the…
An in silico online tool for identification of potential methylation sites from…
An in silico online tool for identification of potential methylation sites from protein sequences. The computational methodology is based on Bi-profile Bayes combined with support vector machines…
Identifies lysine-methylated sites on histones and non-histone proteins. MethK…
Identifies lysine-methylated sites on histones and non-histone proteins. MethK is a web server that provides a user-friendly interface and predictive results. Users can submit a protein sequence and…
Predicts lysine methylation sites and their methylation degrees. iLM-2L is…
Predicts lysine methylation sites and their methylation degrees. iLM-2L is based on composition of k-spaced amino acid pairs feature coding scheme and support vector machine (SVM) algorithm. It…
An online tool for protein methylation site prediction employing the algorithm…
An online tool for protein methylation site prediction employing the algorithm of support vector machines (SVMs). Due to the data limitation our system focuses on methylated arginine and lysine…
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