Evidence map›Paper›PMID 35782714›Full record

ArticleIEEE transactions on molecular, biological, and multi-scale communications2021

Molecular Communications in Viral Infections Research: Modeling, Experimental Data, and Future Directions.

Michael Taynnan Barros, Mladen Veletic, Masamitsu Kanada, Massimiliano Pierobon, Seppo Vainio, Ilangko Balasingham, Sasitharan Balasubramaniam

Abstract read
In one paragraph

Article in IEEE transactions on molecular, biological, and multi-scale communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Open biology · 2024
    Article
  4. Article
  5. Article
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

7 authors.

Michael Taynnan BarrosCBIG/BioMediTechTampere University 33014 Tampere Finland.ORCID https://orcid.org/0000-0002-9765-7660
Mladen VeleticIntervention CentreOslo University Hospital 0424 Oslo Norway.ORCID https://orcid.org/0000-0003-1960-8019
Masamitsu KanadaDepartment of Pharmacology and ToxicologyInstitute for Quantitative Health Science and Engineering, Michigan State University East Lansing MI 48824 USA.ORCID https://orcid.org/0000-0001-9025-9582
Massimiliano PierobonDepartment of Computer Science and EngineeringUniversity of Nebraska-Lincoln Lincoln NE 68588 USA.ORCID https://orcid.org/0000-0003-1074-6925
Seppo VainioInfoTech OuluKvantum Institute, Faculty of Biochemistry and Molecular Medicine, Laboratory of Developmental Biology, Oulu University 90570 Oulu Finland.
Ilangko BalasinghamIntervention CentreOslo University Hospital 0424 Oslo Norway.
Sasitharan BalasubramaniamDepartment of Computer Science and EngineeringUniversity of Nebraska-Lincoln Lincoln NE 68588 USA.ORCID https://orcid.org/0000-0003-4022-3615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hundreds of millions of people worldwide are affected by viral infections each year, and yet, several of them neither have vaccines nor effective treatment during and post-infection. This challenge has been highlighted by the COVID-19 pandemic, showing how viruses can quickly spread and impact society as a whole. Novel interdisciplinary techniques must emerge to provide forward-looking strategies to combat viral infections, as well as possible future pandemics. In the past decade, an interdisciplinary area involving bioengineering, nanotechnology and information and communication technology (ICT) has been developed, known as Molecular Communications. This new emerging area uses elements of classical communication systems to molecular signalling and communication found inside and outside biological systems, characterizing the signalling processes between cells and viruses. In this paper, we provide an extensive and detailed discussion on how molecular communications can be integrated into the viral infectious diseases research, and how possible treatment and vaccines can be developed considering molecules as information carriers. We provide a literature review on molecular communications models for viral infection (intra-body and extra-body), a deep analysis on their effects on immune response, how experimental can be used by the molecular communications community, as well as open issues and future directions.

Indexed as

Communicable diseasesinfectionmolecular communicationsvirionsvirus

Identifiers

PMID35782714
PMCPMC8544950

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.