Browsing Faculty - Engineering and Computer Science by Author "Ashari, Zhila Esna"

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An optimal set of features for predicting type IV secretion system effector proteins for a subset of species based on a multi-level feature selection approach

Ashari, Zhila Esna; Dasgupta, Nairanjana; Brayton, Kelly A.; Broschat, Shira L. (PLoS ONE, 2018)

Type IV secretion systems (T4SS) are multi-protein complexes in a number of bacterial pathogens that can translocate proteins and DNA to the host. Most T4SSs function in conjugation and translocate DNA; however, approximately ...
Prediction of T4SS Effector Proteins for Anaplasma phagocytophilum Using OPT4e, A New Software Tool

Ashari, Zhila Esna; Brayton, Kelly A.; Broschat, Shira L. (Frontiers in Microbiology, 2019)

Type IV secretion systems (T4SS) are used by a number of bacterial pathogens to attack the host cell. The complex protein structure of the T4SS is used to directly translocate effector proteins into host cells, often causing ...
Using an optimal set of features with a machine learning-based approach to predict effector proteins for Legionella pneumophila

Ashari, Zhila Esna; Brayton, Kelly A.; Broschat, Shira L. (PLoS ONE, 2019)

Type IV secretion systems exist in a number of bacterial pathogens and are used to secrete effector proteins directly into host cells in order to change their environment making the environment hospitable for the bacteria. ...