Evidence map›Paper›PMID 27470504›Full record

ReviewEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2016

A review on host-pathogen interactions: classification and prediction.

R Sen, L Nayak, R K De

Abstract readReview
PubMed Publisher
In one paragraph

Review in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Artificial Intelligence Methods in Infection Biology Research.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. A GeneralizedbioRxiv : the preprint server for biology · 2024
    Article
  9. Article
  10. Discovery and Characterization of theInternational journal of molecular sciences · 2024
    Article
  11. Article
  12. Review
  13. Article
  14. A determination of pan-pathogen antimicrobials?Medicine in drug discovery · 2022
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

R SenMachine Intelligence Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata, 700108, India.
L NayakMachine Intelligence Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata, 700108, India.
R K DeMachine Intelligence Unit, Indian Statistical Institute, 203, Barrackpore Trunk Road, Kolkata, 700108, India. rajat@isical.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The research on host-pathogen interactions is an ever-emerging and evolving field. Every other day a new pathogen gets discovered, along with comes the challenge of its prevention and cure. As the intelligent human always vies for prevention, which is better than cure, understanding the mechanisms of host-pathogen interactions gets prior importance. There are many mechanisms involved from the pathogen as well as the host sides while an interaction happens. It is a vis-a-vis fight of the counter genes and proteins from both sides. Who wins depends on whether a host gets an infection or not. Moreover, a higher level of complexity arises when the pathogens evolve and become resistant to a host's defense mechanisms. Such pathogens pose serious challenges for treatment. The entire human population is in danger of such long-lasting persistent infections. Some of these infections even increase the rate of mortality. Hence there is an immediate emergency to understand how the pathogens interact with their host for successful invasion. It may lead to discovery of appropriate preventive measures, and the development of rational therapeutic measures and medication against such infections and diseases. This review, a state-of-the-art updated scenario of host-pathogen interaction research, has been done by keeping in mind this urgency. It covers the biological and computational aspects of host-pathogen interactions, classification of the methods by which the pathogens interact with their hosts, different machine learning techniques for prediction of host-pathogen interactions, and future scopes of this research field.

Indexed as

Host-Pathogen InteractionsImmune EvasionBiomedical ResearchCommunicable DiseasesHumansEffector proteinsHost–pathogen interactionsIn silico predictionMachine learningPathogen informaticsSecretion systems

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.