Evidence map›Paper›PMID 38075758›Full record

ArticleACS omega2023

Complementary Pocket and Network-Based Approach to Search for Spike Protein Allosteric Pocket Sites.

Ronny L Cheng, Jerwin C Quirante, Louise Erika Z Vargas, Abigael F Gatchalian, Ricky B Nellas

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. The Binding of Brazilin fromInternational journal of molecular sciences · 2025
    Article
  2. 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 1 country.

Ronny L ChengInstitute of Chemistry, University of the Philippines Diliman, Quezon City 1101, Philippines.ORCID https://orcid.org/0000-0003-1516-481X
Jerwin C QuiranteInstitute of Chemistry, University of the Philippines Diliman, Quezon City 1101, Philippines.
Louise Erika Z VargasInstitute of Chemistry, University of the Philippines Diliman, Quezon City 1101, Philippines.
Abigael F GatchalianInstitute of Chemistry, University of the Philippines Diliman, Quezon City 1101, Philippines.
Ricky B NellasInstitute of Chemistry, University of the Philippines Diliman, Quezon City 1101, Philippines.
University of the Philippines Diliman · PH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is a persistent public health concern due to the emergence of more virulent and contagious variants resulting from mutations in the spike protein. The spike protein in newer variants, including Delta and Omicron, may be less sensitive to neutralizing antibodies and have a more favorable binding environment to the human ACE2 receptor. In the interest of identifying anti-COVID-19 allosteric drugs, a network-based approach based on coarse-grained molecular dynamics (CGMD) simulations, in complement to pocket-based analysis, is used to identify the possible allosteric pathways of the wild-type, Delta, and Omicron BA.1 spike proteins. Three pockets around 30 Å away from the spike-ACE2 interface are identified underneath the three receptor-binding domain (RBD) chains, which are potentially druggable due to favorable hydrophobicity and surface accessibility. Meanwhile, the network-based approach reveals intrinsic changes within the coupling between the three RBD chains, which could affect the overall communication between the spike-ACE2 interface active site and the three pockets, in particular between the stronger coupling between RBD

Identifiers

PMID38075758
PMCPMC10701870
OpenAlexW4387298695

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.