Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Search research articles

Related Experiment Videos

Host pathogen protein interactions predicted by comparative modeling.

Fred P Davis¹, David T Barkan, Narayanan Eswar

¹Department of Biopharmaceutical Sciences, University of California at San Francisco, San Francisco, California 94158, USA. davisf@janelia.hhmi.org

Protein Science : a Publication of the Protein Society

|October 30, 2007

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Preclinical characterization of EGT710, an oral non-peptidomimetic reversible covalent SARS-CoV-2 main protease inhibitor.

npj drug discovery·2026

Same author

Extending structural surfaceomics to identify aberrant conformations of tumor surface proteins as potential immunotherapy targets.

bioRxiv : the preprint server for biology·2026

Same author

Systematic discovery of pro- and anti-HIV host factors in primary human CD4+ T cells.

Cell·2026

Same author

LIF-Induced Tumor Plasticity Establishes an Immunosuppressive Myeloid Niche in LKB1-Mutant Lung Cancer.

Cancer discovery·2026

Same author

The scientific legacy of Martin Karplus from the perspective of his collaborators.

Biophysical journal·2026

Same author

The filamentous ultrastructure of the PopZ condensate is required for its cellular function.

Nature structural & molecular biology·2026

Same journal

Macromolecular crowding inhibits degradation of alpha-synuclein amyloid fibrils induced by cathepsins and MMP9.

Protein science : a publication of the Protein Society·2026

Same journal

Sequence-encoded differences in the conformational ensembles of CITED transcriptional activation domains impact coactivator binding.

Protein science : a publication of the Protein Society·2026

Same journal

The phospholipid biosynthesis enzyme PlsB contains three distinct domains for membrane association, lysophosphatidic acid synthesis, and dimerization.

Protein science : a publication of the Protein Society·2026

Same journal

Structural basis of ligand selectivity in FAD/NAD(P)H-dependent dehydrogenases: insights from trypanothione reductase and type II NADH dehydrogenase.

Protein science : a publication of the Protein Society·2026

Same journal

Achieving protease substrate-specific inhibition by mAb dual functional selections.

Protein science : a publication of the Protein Society·2026

Same journal

How important are quantum mechanical effects in controlling biological functions: Enzymes, electron transfer and bird navigation.

Protein science : a publication of the Protein Society·2026

See all related articles

This study introduces a computational whole-genome protocol to predict host-pathogen protein interactions. The method identifies and filters interactions, offering new insights into infectious diseases caused by neglected pathogens.

Area of Science:

Computational biology
Infectious diseases
Genomics

Background:

Host-pathogen interactions are crucial for infection and immunity.
Protein-protein recognition is key, but understanding is limited.
Neglected infectious diseases pose significant global health challenges.

Purpose of the Study:

To develop and apply a computational whole-genome protocol for predicting host-pathogen protein interactions.
To generate testable hypotheses for experimental validation.
To advance the understanding of molecular mechanisms in infectious diseases.

Main Methods:

Whole-genome scanning for proteins similar to known complexes.
Assessing putative interactions using structural data where available.

Related Experiment Videos

Filtering interactions based on biological context (e.g., gene expression).

Main Results:

The protocol was applied to 10 pathogens causing neglected diseases.
Predictions were validated against known interactions and gene expression data.
Enrichment for functionally relevant host-pathogen interactions was demonstrated.

Conclusions:

The computational method effectively predicts host-pathogen protein interactions.
It provides valuable insights into mechanisms like cytoadhesion and apoptosis.
This approach complements experimental studies in elucidating host-pathogen interaction networks.