SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information.

ABSTRACT: Sortase enzymes are cysteine transpeptidases that embellish the surface of Gram-positive bacteria with various proteins thereby allowing these microorganisms to interact with their neighboring environment. It is known that several of their substrates can cause pathological implications, so researchers have focused on the development of sortase inhibitors. Currently, six different classes of sortases (A-F) are recognized. However, with the extensive application of bacterial genome sequencing projects, the number of potential sortases in the public databases has exploded, presenting considerable challenges in annotating these sequences. It is very laborious and time-consuming to characterize these sortase classes experimentally. Therefore, this study developed the first machine-learning-base

SUBMITTER: Malik A 

PROVIDER: S-EPMC8703055 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature