In silico unravelling pathogen-host signaling cross-talks via pathogen mimicry and human protein-protein interaction networks

Protein Disulfide Isomerase and Host-Pathogen Interaction

Reactive oxygen species (ROS) production by immunological cells is known to cause damage to pathogens. Increasing evidence accumulated in the last decade has shown, however, that ROS (and redox signals) functionally regulate different cellular pathways in the host-pathogen interaction. These especially affect (i) pathogen entry through protein redox switches and redox modification (i.e., intra-...

Training large margin host-pathogen protein-protein interaction predictors

ABDUL HANNAN BASIT, WAJID ARSHAD ABBASI, AMINA ASIF, AND FAYYAZ UL AMIR AFSAR MINHAS † Biomedical Informatics Research Laboratory, Department of Computer and Information Sciences, Pakistan Institute of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad, Pakistan Department of Electrical Engineering, Pakistan Institute of Engineer-ing and Applied Sciences (PIEAS), Nilore, Islamabad, 440...

Study of PKA binding sites in cAMP-signaling pathway using structural protein-protein interaction networks

Backgroud: Protein-protein interaction, plays a key role in signal transduction in signaling pathways. Different approaches are used for prediction of these interactions including experimental and computational approaches. In conventional node-edge protein-protein interaction networks, we can only see which proteins interact but ‘structural networks’ show us how these proteins inter...

Issues in performance evaluation for host-pathogen protein interaction prediction

The study of interactions between host and pathogen proteins is important for understanding the underlying mechanisms of infectious diseases and for developing novel therapeutic solutions. Wet-lab techniques for detecting protein-protein interactions (PPIs) can benefit from computational predictions. Machine learning is one of the computational approaches that can assist biologists by predictin...

Pathosystems Biology: Computational Prediction and Analysis of Host-Pathogen Protein Interaction Networks