ArticleBMC bioinformatics2015
Prediction of host - pathogen protein interactions between Mycobacterium tuberculosis and Homo sapiens using sequence motifs.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 59 citations in OpenAlex.
- Targeting protein protein interactions and their modulators to enable new therapeutic strategies for human diseases.NPJ systems biology and applications · 2026Review
- Pangenome-based network analysis of Acinetobacter baumannii reveals the landscape of conserved therapeutic targets.Molecular diversity · 2026Article
- Structure-Based Deep Learning Framework for Modeling Human-Gut Bacterial Protein Interactions.Proteomes · 2025Article
- Structure-Based Approaches for Protein-Protein Interaction Prediction Using Machine Learning and Deep Learning.Biomolecules · 2025Review
- PPIntegrator: semantic integrative system for protein-protein interaction and application for host-pathogen datasets.Bioinformatics advances · 2023Article
- Computational Network Inference for Bacterial Interactomics.mSystems · 2022Review
- Host-microbiome protein-protein interactions capture disease-relevant pathways.Genome biology · 2022Article
- Deciphering the Host-Pathogen Interactome of the Wheat-Common Bunt System: A Step towards Enhanced Resilience in Next Generation Wheat.International journal of molecular sciences · 2022Article
- Host-pathogen protein-nucleic acid interactions: A comprehensive review.Computational and structural biotechnology journal · 2022Review
- Computational models for prediction of protein-protein interaction in rice andFrontiers in plant science · 2022Article
- Article
- HMI-PRED: A Web Server for Structural Prediction of Host-Microbe Interactions Based on Interface Mimicry.Journal of molecular biology · 2020Article
- Shotgun EM of mycobacterial protein complexes during stationary phase stress.Current research in structural biology · 2020Article
- Investigating host-bacterial interactions among enteric pathogens.BMC genomics · 2019Article
- Comparative analysis of differential proteome-wide protein-protein interaction network ofBiochemistry and biophysics reports · 2019Article
- Inferring pathogen-host interactions between Leptospira interrogans and Homo sapiens using network theory.Scientific reports · 2019Article
- Interface-Based Structural Prediction of Novel Host-Pathogen Interactions.Methods in molecular biology (Clifton, N.J.) · 2019Article
- Inter-Species/Host-Parasite Protein Interaction Predictions Reviewed.Current bioinformatics · 2018Review
- Prediction of Host-Pathogen Interactions for Helicobacter pylori by Interface Mimicry and Implications to Gastric Cancer.Journal of molecular biology · 2017Article
- The Influence of HIV on the Evolution of Mycobacterium tuberculosis.Molecular biology and evolution · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEmergence of multiple drug resistant strains of M. tuberculosis (MDR-TB) threatens to derail global efforts aimed at reigning in the pathogen. Co-infections of M. tuberculosis with HIV are difficult to treat. To counter these new challenges, it is essential to study the interactions between M. tuberculosis and the host to learn how these bacteria cause disease.
resultsWe report a systematic flow to predict the host pathogen interactions (HPIs) between M. tuberculosis and Homo sapiens based on sequence motifs. First, protein sequences were used as initial input for identifying the HPIs by 'interolog' method. HPIs were further filtered by prediction of domain-domain interactions (DDIs). Functional annotations of protein and publicly available experimental results were applied to filter the remaining HPIs. Using such a strategy, 118 pairs of HPIs were identified, which involve 43 proteins from M. tuberculosis and 48 proteins from Homo sapiens. A biological interaction network between M. tuberculosis and Homo sapiens was then constructed using the predicted inter- and intra-species interactions based on the 118 pairs of HPIs. Finally, a web accessible database named PATH (Protein interactions of M. tuberculosis and Human) was constructed to store these predicted interactions and proteins.
conclusionsThis interaction network will facilitate the research on host-pathogen protein-protein interactions, and may throw light on how M. tuberculosis interacts with its host.
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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.