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Bigram-PGK: phosphoglycerylation prediction using the technique of bigram probabilities of position specific scoring matrix.

Abel ChandraAlok SharmaAbdollah DehzangiDaichi ShigemizuTatsuhiko Tsunoda
Published in: BMC molecular and cell biology (2019)
The proposed predictor, based on the feature of evolutionary information and support vector machine classifier, has shown great potential to effectively predict phosphoglycerylated and non-phosphoglycerylated lysine residues when compared against the existing predictors. The data and software of this work can be acquired from https://github.com/abelavit/Bigram-PGK.
Keyphrases
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