Literature DB >> 27227577

High-throughput proteomics and the fight against pathogens.

Anita Horvatić1, Josipa Kuleš1, Nicolas Guillemin1, Asier Galan1, Vladimir Mrljak1, Mangesh Bhide2.   

Abstract

Pathogens pose a major threat to human and animal welfare. Understanding the interspecies host-pathogen protein-protein interactions could lead to the development of novel strategies to combat infectious diseases through the rapid development of new therapeutics. The first step in understanding the host-pathogen crosstalk is to identify interacting proteins in order to define crucial hot-spots in the host-pathogen interactome, such as the proposed pharmaceutical targets by means of high-throughput proteomic methodologies. In order to obtain holistic insight into the inter- and intra-species bimolecular interactions, apart from the proteomic approach, sophisticated in silico modeling is used to correlate the obtained large data sets with other omics data and clinical outcomes. Since the main focus in this area has been directed towards human medicine, it is time to extrapolate the existing expertise to a new emerging field: the 'systems veterinary medicine'. Therefore, this review addresses high-throughput mass spectrometry-based technology for monitoring protein-protein interactions in vitro and in vivo and discusses pathogen cultivation, model host cells and available bioinformatic tools employed in vaccine development.

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Year:  2016        PMID: 27227577     DOI: 10.1039/c6mb00223d

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  3 in total

Review 1.  Shotgun Proteomics as a Powerful Tool for the Study of the Proteomes of Plants, Their Pathogens, and Plant-Pathogen Interactions.

Authors:  Sadegh Balotf; Richard Wilson; Robert S Tegg; David S Nichols; Calum R Wilson
Journal:  Proteomes       Date:  2022-01-19

2.  Proteomic and bioinformatic pipeline to screen the ligands of S. pneumoniae interacting with human brain microvascular endothelial cells.

Authors:  Irene Jiménez-Munguía; Lucia Pulzova; Evelina Kanova; Zuzana Tomeckova; Petra Majerova; Katarina Bhide; Lubos Comor; Ivana Sirochmanova; Andrej Kovac; Mangesh Bhide
Journal:  Sci Rep       Date:  2018-03-27       Impact factor: 4.379

Review 3.  Vaccines Meet Big Data: State-of-the-Art and Future Prospects. From the Classical 3Is ("Isolate-Inactivate-Inject") Vaccinology 1.0 to Vaccinology 3.0, Vaccinomics, and Beyond: A Historical Overview.

Authors:  Nicola Luigi Bragazzi; Vincenza Gianfredi; Milena Villarini; Roberto Rosselli; Ahmed Nasr; Amr Hussein; Mariano Martini; Masoud Behzadifar
Journal:  Front Public Health       Date:  2018-03-05
  3 in total

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