ReviewMedical microbiology and immunology2020
Structural proteomics, electron cryo-microscopy and structural modeling approaches in bacteria-human protein interactions.
Review in Medical microbiology and immunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 20 citations in OpenAlex.
- Rapid Proteome-Wide Discovery of Protein-Protein Interactions With ppIRIS.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Fighting the invader: strategies against intracellular bacteria.Frontiers in pharmacology · 2026Review
- Computational Immunogenetic Analysis of Botulinum Toxin A Immunogenicity and HLA Gene Haplotypes: New Insights.Toxins · 2025Article
- Advances in Host-Pathogen Interactions in Tuberculosis: Emerging Strategies for Therapeutic Intervention.International journal of molecular sciences · 2025Review
- Rational Modification of a Cross-Linker for Improved Flexible Protein Structure Modeling.Analytical chemistry · 2025Article
- Multienzyme deep learning models improve peptide de novo sequencing by mass spectrometry proteomics.PLoS computational biology · 2023Article
- In-Cell Labeling and Mass Spectrometry for Systems-Level Structural Biology.Chemical reviews · 2022Review
- Label-free visual proteomics: Coupling MS- and EM-based approaches in structural biology.Molecular cell · 2022Review
- Protein Integrated Network Analysis to Reveal Potential Drug Targets Against Extended Drug-Resistant Mycobacterium tuberculosis XDR1219.Molecular biotechnology · 2021Article
- Streptococcus pyogenes Forms Serotype- and Local Environment-Dependent Interspecies Protein Complexes.mSystems · 2021Article
- Imaging Infection Across Scales of Size: From Whole Animals to Single Molecules.Annual review of microbiology · 2021Review
- Host-Pathogen Adhesion as the Basis of Innovative Diagnostics for Emerging Pathogens.Diagnostics (Basel, Switzerland) · 2021Review
- Structural determination of Streptococcus pyogenes M1 protein interactions with human immunoglobulin G using integrative structural biology.PLoS computational biology · 2021Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
A central challenge in infection medicine is to determine the structure and function of host-pathogen protein-protein interactions to understand how these interactions facilitate bacterial adhesion, dissemination and survival. In this review, we focus on proteomics, electron cryo-microscopy and structural modeling to showcase instances where affinity-purification (AP) and cross-linking (XL) mass spectrometry (MS) has advanced our understanding of host-pathogen interactions. We highlight cases where XL-MS in combination with structural modeling has provided insight into the quaternary structure of interspecies protein complexes. We further exemplify how electron cryo-tomography has been used to visualize bacterial-human interactions during attachment and infection. Lastly, we discuss how AP-MS, XL-MS and electron cryo-microscopy and -tomography together with structural modeling approaches can be used in future studies to broaden our knowledge regarding the function, dynamics and evolution of such interactions. This knowledge will be of relevance for future drug and vaccine development programs.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.