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

ABSTRACT:

Background

The biological process known as post-translational modification (PTM) is a condition whereby proteomes are modified that affects normal cell biology, and hence the pathogenesis. A number of PTMs have been discovered in the recent years and lysine phosphoglycerylation is one of the fairly recent developments. Even with a large number of proteins being sequenced in the post-genomic era, the identification of phosphoglycerylation remains a big challenge due to factors such as cost, time consumption and inefficiency involved in the experimental efforts. To overcome this issue, computational techniques have emerged to accurately identify phosphoglycerylated lysine residues. However, the computational techniques proposed so far hold limitations to correctly predict this covale

SUBMITTER: Chandra A 

PROVIDER: S-EPMC6923822 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature