Evidence map›Paper›PMID 29739852›Full record

ArticleThe Journal of biological chemistry2018

A computational approach for predicting off-target toxicity of antiviral ribonucleoside analogues to mitochondrial RNA polymerase.

Holly Freedman, Philip Winter, Jack Tuszynski, D Lorne Tyrrell, Michael Houghton

Open access · hybridAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Could Histamine H1 Receptor Antagonists Be Used for Treating COVID-19?International journal of molecular sciences · 2021
    Review
  5. Dissecting nucleotide selectivity in viral RNA polymerases.Computational and structural biotechnology journal · 2021
    Review
  6. Review
  7. Article
  8. Article
  9. 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

5 authors at 1 institution in 2 countries.

Holly FreedmanFrom the Li Ka Shing Applied Virology Institute, Department of Medical Microbiology and Immunology and hfreedma@ualberta.ca.ORCID 0000-0002-7011-819X
Philip Winterthe Department of Oncology, University of Alberta, Edmonton, Alberta T6G 2R7, Canada.
Jack Tuszynskithe Department of Oncology, University of Alberta, Edmonton, Alberta T6G 2R7, Canada.
D Lorne TyrrellFrom the Li Ka Shing Applied Virology Institute, Department of Medical Microbiology and Immunology and.
Michael HoughtonFrom the Li Ka Shing Applied Virology Institute, Department of Medical Microbiology and Immunology and mhoughto@ualberta.ca.
University of Alberta · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the development of antiviral drugs that target viral RNA-dependent RNA polymerases, off-target toxicity caused by the inhibition of the human mitochondrial RNA polymerase (POLRMT) is a major liability. Therefore, it is essential that all new ribonucleoside analogue drugs be accurately screened for POLRMT inhibition. A computational tool that can accurately predict NTP binding to POLRMT could assist in evaluating any potential toxicity and in designing possible salvaging strategies. Using the available crystal structure of POLRMT bound to an RNA transcript, here we created a model of POLRMT with an NTP molecule bound in the active site. Furthermore, we implemented a computational screening procedure that determines the relative binding free energy of an NTP analogue to POLRMT by free energy perturbation (FEP),

Indexed as

Antiviral AgentsComputational BiologyCrystallography, X-RayDNA-Directed RNA PolymerasesHumansMitochondriaProtein ConformationRibonucleosidesStructure-Activity RelationshipTranscription, GeneticAntiviral AgentsDNA-Directed RNA PolymerasesRibonucleosidesantiviral agentcomputationcomputer modelingmitochondriamitochondrial RNA polymerasemolecular dynamicsmolecular modelingnucleoside/nucleotide analoguenucleotideRNA polymerase

Identifiers

PMID29739852
PMCPMC6016467
OpenAlexW2799601160

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.