Structure-based prediction of host–pathogen protein interactions

Rachelle Mariano, Stefan Wuchty

Research output: Contribution to journalReview article

5 Citations (Scopus)

Abstract

The discovery, validation, and characterization of protein-based interactions from different species are crucial for translational research regarding a variety of pathogens, ranging from the malaria parasite Plasmodium falciparum to HIV-1. Here, we review recent advances in the prediction of host–pathogen protein interfaces using structural information. In particular, we observe that current methods chiefly perform machine learning on sequence and domain information to produce large sets of candidate interactions that are further assessed and pruned to generate final, highly probable sets. Structure-based studies have also emphasized the electrostatic properties and evolutionary transformations of pathogenic interfaces, supplying crucial insight into antigenic determinants and the ways pathogens compete for host protein binding. Advancements in spectroscopic and crystallographic methods complement the aforementioned techniques, permitting the rigorous study of true positives at a molecular level. Together, these approaches illustrate how protein structure on a variety of levels functions coordinately and dynamically to achieve host takeover.

Original languageEnglish (US)
Pages (from-to)119-124
Number of pages6
JournalCurrent Opinion in Structural Biology
Volume44
DOIs
StatePublished - Jun 1 2017

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Proteins
Translational Medical Research
Falciparum Malaria
Static Electricity
Protein Binding
HIV-1
Epitopes
Parasites
Machine Learning

ASJC Scopus subject areas

  • Structural Biology
  • Molecular Biology

Cite this

Structure-based prediction of host–pathogen protein interactions. / Mariano, Rachelle; Wuchty, Stefan.

In: Current Opinion in Structural Biology, Vol. 44, 01.06.2017, p. 119-124.

Research output: Contribution to journalReview article

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