Evidence map›Paper›PMID 36590900›Full record

ArticleiScience2023

Network analysis uncovers the communication structure of SARS-CoV-2 spike protein identifying sites for immunogen design.

Pedro D Manrique, Srirupa Chakraborty, Rory Henderson, Robert J Edwards, Rachael Mansbach, Kien Nguyen, Victoria Stalls, Carrie Saunders, Katayoun Mansouri, Priyamvada Acharya and 2 more

Abstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Article
  2. D614G reshapes allosteric networks and opening mechanisms of SARS-CoV-2 spikes.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Evolutionary rewiring of the dynamic network underpinning allosteric epistasis in NS1 of the influenza A virus.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. 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

12 authors.

Pedro D ManriqueTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Srirupa ChakrabortyTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Rory HendersonDuke Human Vaccine Institute, Duke University, Durham, NC 27710, USA.
Robert J EdwardsDuke Human Vaccine Institute, Duke University, Durham, NC 27710, USA.
Rachael MansbachPhysics Department, Concordia University, Montreal, QC H4B IR6, Canada.
Kien NguyenTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
Victoria StallsDuke Human Vaccine Institute, Duke University, Durham, NC 27710, USA.
Carrie SaundersDuke Human Vaccine Institute, Duke University, Durham, NC 27710, USA.
Katayoun MansouriDuke Human Vaccine Institute, Duke University, Durham, NC 27710, USA.
Priyamvada AcharyaDuke Human Vaccine Institute, Duke University, Durham, NC 27710, USA.
Bette KorberTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.
S GnanakaranTheoretical Biology and Biophysics Group, Los Alamos National Laboratory, Los Alamos, NM 87545, USA.

Funding

Virus and Antibody Gene Sequencing CoreP01AI131251 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Kevin Wiehe · 2017 to 2026
$40.7M
Project 4: Computational panbetaCoV immunogen designP01AI158571 · NIAID · DUKE UNIVERSITY · PI HAYNES, BARTON F. · 2021 to 2023
$28.0M
Effect of natural and engineered variations on structure and biophysics of SARS-CoV-2 spikeR01AI165947 · NIAID · DUKE UNIVERSITY · PI Priyamvada Acharya, Rory Henderson · 2022 to 2026
$3.8M
NIAID NIH HHS P01 AI131251NIAID NIH HHS P01 AI158571NIAID NIH HHS R01 AI165947
6 · The paper itself

Abstract

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has triggered myriad efforts to understand the structure and dynamics of this complex pathogen. The spike glycoprotein of SARS-CoV-2 is a significant target for immunogens as it is the means by which the virus enters human cells, while simultaneously sporting mutations responsible for immune escape. These functional and escape processes are regulated by complex molecular-level interactions. Our study presents quantitative insights on domain and residue contributions to allosteric communication, immune evasion, and local- and global-level control of functions through the derivation of a weighted graph representation from all-atom MD simulations. Focusing on the ancestral form and the D614G-variant, we provide evidence of the utility of our approach by guiding the selection of a mutation that alters the spike's stability. Taken together, the network approach serves as a valuable tool to evaluate communication "hot-spots" in proteins to guide design of stable immunogens.

Indexed as

Biological sciencesImmunologyStructural biologyVirology

Identifiers

PMID36590900
PMCPMC9791713

What OpenQuestion 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 OpenQuestion graph.