Evidence map›Paper›PMID 35026638›Full record

ArticleTalanta2022

Quantitative in silico analysis of SARS-CoV-2 S-RBD omicron mutant transmissibility.

Toshihiko Hanai

Open access · greenAbstract read
In one paragraph

Article in Talanta, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

  1. Current computer-aided drug design · 2025
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  10. Arabian journal of chemistry · 2022
    Article
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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

1 author at 1 institution in 1 country.

Toshihiko HanaiHealth Research Foundation, Research Institute for Production Development 4F, Sakyo-ku, Kyoto, 606-0805, Japan. Electronic address: hanai104@kf7.so-net.ne.jp.
Research Institute for Production Development · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covid-19 variants transmissibility was quantitatively analyzed in silico to understand the reaction mechanisms and to find the reaction inhibitors. Especially, SARS-CoV-2 omicron mutant (omicron S-RBD) binding affinity with human angiotensin-converting enzyme-2 (ACE-2) was quantitatively analyzed using molecular interaction (MI) energy values (kcal

Indexed as

COVID-19SARS-CoV-2HumansMolecular Docking SimulationProtein BindingSpike Glycoprotein, CoronavirusSpike Glycoprotein, CoronavirusACE-2Binding affinityDocking inhibitorMolecular interaction energyQuantitative in silico analysisSARS-CoV-2 omicron valiant

Identifiers

PMID35026638
PMCPMC8739820
OpenAlexW4205890026

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.