Evidence map›Paper›PMID 37258928›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2023

In Silico Structure-Based Vaccine Design.

Sakshi Piplani, David Winkler, Yoshikazu Honda-Okubo, Varun Khanna, Nikolai Petrovsky

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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 3 institutions in 2 countries.

Sakshi PiplaniVaxine Pty Ltd, Adelaide, SA, Australia.
David WinklerSchool of Pharmacy, University of Nottingham, Nottingham, UK.
Yoshikazu Honda-OkuboVaxine Pty Ltd, Adelaide, SA, Australia.
Varun KhannaVaxine Pty Ltd, Adelaide, SA, Australia.
Nikolai PetrovskyVaxine Pty Ltd, Adelaide, SA, Australia. nikolai.petrovsky@flinders.edu.au.
Vaxine (Australia) · AUFlinders University · AULa Trobe University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structure-based vaccine design (SBVD) is an important technique in computational vaccine design that uses structural information on a targeted protein to design novel vaccine candidates. This increasing ability to rapidly model structural information on proteins and antibodies has provided the scientific community with many new vaccine targets and novel opportunities for future vaccine discovery. This chapter provides a comprehensive overview of the status of in silico SBVD and discusses the current challenges and limitations. Key strategies in the field of SBVD are exemplified by a case study on design of COVID-19 vaccines targeting SARS-CoV-2 spike protein.

Indexed as

COVID-19COVID-19 VaccinesHumansMolecular Docking SimulationSARS-CoV-2Spike Glycoprotein, CoronavirusCOVID-19 VaccinesSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2Computer-aided vaccine designCOVID-19De novo designFocused library designHigh-throughput virtual screeningMolecular dockingProtein modelingSARS-CoV-2Structure-based vaccine designTarget selection

Identifiers

PMID37258928
OpenAlexW4378801568

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.