Related Experiment Video

Updated: Aug 7, 2025

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
13:56

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

11.3K

Pathogen-driven cancers from a structural perspective: Targeting host-pathogen protein-protein interactions

Emine Sila Ozdemir1, Ruth Nussinov2,3

  • 1Cancer Early Detection Advanced Research Center, Knight Cancer Institute, Oregon Health & Science University, Portland, OR, United States.

Frontiers in Oncology
|March 13, 2023
PubMed

Insights

This review explores host-pathogen interactions (HPIs) and their structural basis. Computational methods, including machine learning and AI, are key to predicting these interactions and developing new therapeutics for diseases like AIDS and COVID-19.

Area of Science:

  • Structural biology
  • Infectious disease research
  • Computational biology

Background:

  • Host-pathogen interactions (HPIs) disrupt host cell homeostasis, leading to diseases such as AIDS, COVID-19, and cancer.
  • Understanding the three-dimensional (3D) structures of host-pathogen complexes is crucial for developing therapeutics and preventive strategies.
  • Structural studies of HPIs face significant challenges.

Purpose of the Study:

  • To review the current state of structural studies on host-pathogen protein-protein interactions (PPIs).
  • To discuss computational approaches for predicting HPIs, including machine learning (ML) and artificial intelligence (AI).
  • To highlight the potential of computational methods in developing clinical therapeutics.

Main Methods:

  • Review of existing literature on structural aspects of HPIs.
  • Overview of computational methods for predicting host-pathogen PPIs.
  • Discussion of machine learning (ML) and artificial intelligence (AI) applications in HPI prediction.

Main Results:

  • Structural studies provide insights into HPI mechanisms.
  • Computational methods, particularly ML and AI, show promise in predicting HPIs.
  • Theoretical computational approaches can guide the development of therapeutic agents.

Conclusions:

  • Advancements in structural and computational biology are essential for understanding HPIs.
  • AI and ML offer powerful tools for predicting HPIs and designing novel therapeutics.
  • Further research into computational approaches can accelerate the development of clinical treatments for infectious diseases and other HPI-related disorders.
Keywords:
artificial intelligencecancer therapeuticsdrug discoveryhost-pathogen interactionsmachine learningprotein-protein interactions

More Related Videos

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions05:37

Label-Free Quantitative Proteomics Workflow for Discovery-Driven Host-Pathogen Interactions

Published on: October 20, 2020

6.8K
Author Spotlight: Advanced Enteroid Model for Studying Host-Pathogen Interactions07:56

Author Spotlight: Advanced Enteroid Model for Studying Host-Pathogen Interactions

Published on: April 5, 2024

1.9K

Related Concept Videos

Protein Networks02:26

Protein Networks

An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Mechanisms of Retrovirus-induced Cancers01:51

Mechanisms of Retrovirus-induced Cancers

Retroviruses are RNA viruses that have been shown to cause cancers in diverse species, including chickens, mice, cats, and monkeys. The RNA genomes of these viruses are first reverse-transcribed into single and then double-stranded DNA (dsDNA) copies. This dsDNA called proviral DNA then integrates into the host genome. Subsequently, the host cell transcribes the proviral DNA in concert with the chromosomal DNA. This leads to the production of viral RNA and proteins that assemble at the host...
5.2K
Protein-protein Interfaces02:04

Protein-protein Interfaces

Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
12.6K
Adaptive Mechanisms in Cancer Cells02:53

Adaptive Mechanisms in Cancer Cells

Cancer cells accumulate genetic changes at an abnormally rapid rate due to the defects in the DNA repair mechanisms. From an evolutionary perspective, such genetic instability is advantageous for cancer development. Mutant cell lines accumulate a series of beneficial mutations that contribute to their progression into cancer.
Some of the advantages that cancer cells have on normal cells include - enhanced ability to divide without terminally differentiating, induce new blood vessel formation,...
5.9K
Intracellular Movement of Viruses and Bacteria01:10

Intracellular Movement of Viruses and Bacteria

Intracellular bacteria and viruses often comprise a group of highly infectious pathogens that can cause several diseases. Bacterial pathogens include those belonging to the genus Rickettsia responsible for conditions such as rocky mountain spotted fever and the Mediterranean spotted fever; Chlamydia, a genus responsible for a sexually transmitted disease; Coxiella burnetii, an agent responsible for Q fever. Viral pathogens include vaccinia—a poxvirus, and herpes simplex virus—a...
2.9K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
7.8K