Evidence map›Paper›PMID 33118327›Full record

ReviewBiotechnology progress2021

Biophysical analysis of SARS-CoV-2 transmission and theranostic development via N protein computational characterization.

Godfred O Sabbih, Maame A Korsah, Jaison Jeevanandam, Michael K Danquah

Open access · bronzeAbstract readReview
In one paragraph

Review in Biotechnology progress, 2021. 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
0.3field-weighted citation impact, top 31% 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, 12 citations in OpenAlex.

  1. Review
  2. Aptamers as promising nanotheranostic tools in the COVID-19 pandemic era.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2022
    Review
  3. Article
  4. Article
  5. Review
  6. 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

4 authors at 2 institutions in 2 countries.

Godfred O SabbihDepartment of Chemical Engineering, University of Tennessee, Chattanooga, Tennessee, USA.ORCID 0000-0002-9141-1715
Maame A KorsahDepartment of Mathematics, University of Tennessee, Chattanooga, Tennessee, USA.
Jaison JeevanandamCQM - Centro de Química da Madeira, MMRG, Universidade da Madeira, Campus da Penteada, Funchal, Portugal.
Michael K DanquahDepartment of Chemical Engineering, University of Tennessee, Chattanooga, Tennessee, USA.ORCID 0000-0002-4232-7138
University of Tennessee at Chattanooga · USUniversidade da Madeira · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, SARS-CoV-2 has been identified as the causative factor of viral infection called COVID-19 that belongs to the zoonotic beta coronavirus family known to cause respiratory disorders or viral pneumonia, followed by an extensive attack on organs that express angiotensin-converting enzyme II (ACE2). Human transmission of this virus occurs via respiratory droplets from symptomatic and asymptomatic patients, which are released into the environment after sneezing or coughing. These droplets are capable of staying in the air as aerosols or surfaces and can be transmitted to persons through inhalation or contact with contaminated surfaces. Thus, there is an urgent need for advanced theranostic solutions to control the spread of COVID-19 infection. The development of such fit-for-purpose technologies hinges on a proper understanding of the transmission, incubation, and structural characteristics of the virus in the external environment and within the host. Hence, this article describes the development of an intrinsic model to describe the incubation characteristics of the virus under varying environmental factors. It also discusses on the evaluation of SARS-CoV-2 structural nucleocapsid protein properties via computational approaches to generate high-affinity binding probes for effective diagnosis and targeted treatment applications by specific targeting of viruses. In addition, this article provides useful insights on the transmission behavior of the virus and creates new opportunities for theranostics development.

Indexed as

Precision MedicineAmino Acid SequenceBinding SitesCoronavirus Nucleocapsid ProteinsCOVID-19HumansMachine LearningModels, TheoreticalMolecular Docking SimulationPhosphoproteinsProtein Structure, SecondaryProtein Structure, TertiarySARS-CoV-2Virus ReplicationCoronavirus Nucleocapsid Proteinsnucleocapsid phosphoprotein, SARS-CoV-2PhosphoproteinsCOVID-19machine learningmolecular dynamicsnucleocapsid proteinsSARS-CoV-2

Identifiers

PMID33118327
PMCPMC7645878
OpenAlexW3096505889

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.