Literature DB >> 30421403

Computational and Experimental Approaches to Predict Host-Parasite Protein-Protein Interactions.

Yesid Cuesta-Astroz1, Guilherme Oliveira2.   

Abstract

In host-parasite systems, protein-protein interactions are key to allow the pathogen to enter the host and persist within the host. The study of host-parasite molecular communication improves the understanding the mechanisms of infection, evasion of the host immune system and tropism across different tissues. Current trends in parasitology focus on unraveling host-parasite protein-protein interactions to aid the development of new strategies to combat pathogenic parasites with better treatments and prevention mechanisms. Due to the complexity of capturing experimentally these interactions, computational approaches integrating data from different sources (mainly "omics" data) become key to complement or support experimental approaches. Here, we focus on the application of experimental and computational methods in the prediction of host-parasite interactions and highlight the potential of each of these methods in specific contexts.

Entities:  

Keywords:  Computational biology; Host–parasite interactions; Parasitology; Protein–protein interactions; Proteomics; Secretome; Systems biology

Mesh:

Year:  2018        PMID: 30421403     DOI: 10.1007/978-1-4939-8618-7_7

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  2 in total

1.  Plasmodium manipulates the expression of host long non-coding RNA during red blood cell intracellular infection.

Authors:  Guang Chen; Shuang-Chun Liu; Xiao-Yan Fan; Yue-Lei Jin; Xin Li; Yun-Ting Du
Journal:  Parasit Vectors       Date:  2022-05-28       Impact factor: 4.047

2.  Analysis of Predicted Host-Parasite Interactomes Reveals Commonalities and Specificities Related to Parasitic Lifestyle and Tissues Tropism.

Authors:  Yesid Cuesta-Astroz; Alberto Santos; Guilherme Oliveira; Lars J Jensen
Journal:  Front Immunol       Date:  2019-02-13       Impact factor: 8.786

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.