Evidence map›Paper›PMID 33374798›Full record

ArticleViruses2020

An Intracellular Model of Hepatitis B Viral Infection: An In Silico Platform for Comparing Therapeutic Strategies.

Farzad Fatehi, Richard J Bingham, Eric C Dykeman, Nikesh Patel, Peter G Stockley, Reidun Twarock

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 22 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Farzad FatehiYork Cross-Disciplinary Centre for Systems Analysis, University of York, York YO10 5GE, UK.ORCID 0000-0003-3743-5772
Richard J BinghamYork Cross-Disciplinary Centre for Systems Analysis, University of York, York YO10 5GE, UK.ORCID 0000-0001-5140-269X
Eric C DykemanYork Cross-Disciplinary Centre for Systems Analysis, University of York, York YO10 5GE, UK.ORCID 0000-0002-8344-8446
Nikesh PatelAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT UK.ORCID 0000-0001-6098-3633
Peter G StockleyAstbury Centre for Structural Molecular Biology, University of Leeds, Leeds LS2 9JT UK.ORCID 0000-0002-1360-2751
Reidun TwarockYork Cross-Disciplinary Centre for Systems Analysis, University of York, York YO10 5GE, UK.ORCID 0000-0002-1824-2003
University of York · GBUniversity of Leeds · GB

Funding

Medical Research Council MR/N021517/1Wellcome Trust 110145Wellcome Trust 110145/Z/15/ZWellcome Trust 110146
6 · The paper itself

Abstract

Hepatitis B virus (HBV) is a major focus of antiviral research worldwide. The International Coalition to Eliminate HBV, together with the World Health Organisation (WHO), have prioritised the search for a cure, with the goal of eliminating deaths from viral hepatitis by 2030. We present here a comprehensive model of intracellular HBV infection dynamics that includes all molecular processes currently targeted by drugs and agrees well with the observed outcomes of several clinical studies. The model reveals previously unsuspected kinetic behaviour in the formation of sub-viral particles, which could lead to a better understanding of the immune responses to infection. It also enables rapid comparative assessment of the impact of different treatment options and their potential synergies as combination therapies. A comparison of available and currently developed treatment options reveals that combinations of multiple capsid assembly inhibitors perform best.

Indexed as

AlgorithmsAntiviral AgentsComputer SimulationHepatitis BHepatitis B, ChronicHepatitis B virusHumansKineticsModels, BiologicalVirus AssemblyVirus InternalizationVirus ReplicationAntiviral Agentsantiviral therapyhepatitis B virusintracellular modelpackaging signalvirus assembly

Identifiers

PMID33374798
PMCPMC7823939
OpenAlexW3115164741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.