In silico engineering of Pseudomonas metabolism reveals new biomarkers for increased biosurfactant production.

Annalisa OcchipintiFilmon EyassuThahira J RahmanPattanathu K S M RahmanClaudio Angione

Published in: PeerJ (2018)

We anticipate that our results will provide a versatile methodology for integrating multi-omics data for topological and functional analysis of P. putida toward maximization of biosurfactant production.

Keyphrases

bacillus subtilis
electronic health record
molecular docking
single cell
big data
biofilm formation
escherichia coli
machine learning
pseudomonas aeruginosa