Evidence map›Paper›PMID 35058587›Full record

ReviewActa pharmacologica Sinica2022

Structure genomics of SARS-CoV-2 and its Omicron variant: drug design templates for COVID-19.

Can-Rong Wu, Wan-Chao Yin, Yi Jiang, H Eric Xu

Open access · bronzeAbstract readReview
In one paragraph

Review in Acta pharmacologica Sinica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed
13.9field-weighted citation impact, top 1% 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

65 citing papers in PubMed, 140 citations in OpenAlex.

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5 more citing papers are in PubMed but not listed here.

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 1 country.

Can-Rong WuThe CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China. wucanrong@simm.ac.cn.
Wan-Chao YinThe CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
Yi JiangThe CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
H Eric XuThe CAS Key Laboratory of Receptor Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China. eric.xu@simm.ac.cn.
Shanghai Institute of Materia Medica · CNShanghaiTech University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has brought an unprecedented public health crisis and persistently threatens to humanity. With tireless efforts from scientists around the world, understanding of the biology of coronavirus has been greatly enhanced over the past 2 years. Structural biology has demonstrated its powerful impact on uncovering structures and functions for the vast majority of SARS-CoV-2 proteins and guided the development of drugs and vaccines against COVID-19. In this review, we summarize current progress in the structural biology of SARS-CoV-2 and discuss important biological issues that remain to be addressed. We present the examples of structure-based design of Pfizer's novel anti-SARS-CoV-2 drug PF-07321332 (Paxlovid), Merck's nucleotide inhibitor molnupiravir (Lagevrio), and VV116, an oral drug candidate for COVID-19. These examples highlight the importance of structure in drug discovery to combat COVID-19. We also discussed the recent variants of Omicron and its implication in immunity escape from existing vaccines and antibody therapies.

Indexed as

COVID-19 Drug TreatmentSARS-CoV-2COVID-19 VaccinesDrug DesignGenomicsHumansLactamsLeucineNitrilesProlineCOVID-19 VaccinesLactamsLeucinenirmatrelvirNitrilesProlineCOVID-19drug designomicronSARS-CoV-2structural biologyvaccine development

Identifiers

PMID35058587
PMCPMC8771608
OpenAlexW4206644256

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.