ReviewBriefings in bioinformatics2016
Computational analysis of protein interaction networks for infectious diseases.
Review in Briefings in bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
22 citing papers in PubMed.
- Comprehensive analysis of intervention and control studies for the computational identification of dengue biomarker genes.PLoS neglected tropical diseases · 2025Article
- Precision drug design againstFrontiers in cellular and infection microbiology · 2023Article
- Pharmacological Mechanism of NRICM101 for COVID-19 Treatments by Combined Network Pharmacology and Pharmacodynamics.International journal of molecular sciences · 2022Article
- PHILM2Web: A high-throughput database of macromolecular host-pathogen interactions on the Web.Database : the journal of biological databases and curation · 2022Article
- Computational Network Inference for Bacterial Interactomics.mSystems · 2022Review
- A rice protein interaction network reveals high centrality nodes and candidate pathogen effector targets.Computational and structural biotechnology journal · 2022Article
- APPINetwork: an R package for building and computational analysis of protein-protein interaction networks.PeerJ · 2022Article
- Immunomodulatory effects of microbiota-derived metabolites at the crossroad of neurodegenerative diseases and viral infection: network-based bioinformatics insights.Frontiers in immunology · 2022Article
- Identification of viral-mediated pathogenic mechanisms in neurodegenerative diseases using network-based approaches.Briefings in bioinformatics · 2021Article
- Article
- Integrative Network Biology Framework Elucidates Molecular Mechanisms of SARS-CoV-2 Pathogenesis.iScience · 2020Article
- Integrative Network Biology Framework Elucidates Molecular Mechanisms of SARS-CoV-2 Pathogenesis.SSRN · 2020Article
- BacFITBase: a database to assess the relevance of bacterial genes during host infection.Nucleic acids research · 2020Article
- Alignment of virus-host protein-protein interaction networks by integer linear programming: SARS-CoV-2.PloS one · 2020Article
- Delineating the Plausible Molecular Vaccine Candidates and Drug Targets of Multidrug-ResistantFrontiers in cellular and infection microbiology · 2019Article
- Network biology discovers pathogen contact points in host protein-protein interactomes.Nature communications · 2018Article
- Paradigm Shift in Drug Re-purposing From Phenalenone to Phenaleno-Furanone to Combat Multi-Drug ResistantFrontiers in cellular and infection microbiology · 2018Article
- Article
- Incorporating interaction networks into the determination of functionally related hit genes in genomic experiments with Markov random fields.Bioinformatics (Oxford, England) · 2017Article
- Centrality in the host-pathogen interactome is associated with pathogen fitness during infection.Nature communications · 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
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Infectious diseases caused by pathogens, including viruses, bacteria and parasites, pose a serious threat to human health worldwide. Frequent changes in the pattern of infection mechanisms and the emergence of multidrug-resistant strains among pathogens have weakened the current treatment regimen. This necessitates the development of new therapeutic interventions to prevent and control such diseases. To cater to the need, analysis of protein interaction networks (PINs) has gained importance as one of the promising strategies. The present review aims to discuss various computational approaches to analyse the PINs in context to infectious diseases. Topology and modularity analysis of the network with their biological relevance, and the scenario till date about host-pathogen and intra-pathogenic protein interaction studies were delineated. This would provide useful insights to the research community, thereby enabling them to design novel biomedicine against such infectious diseases.
Indexed as
Identifiers
What OpenQuestion holds
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.