Evidence map›Paper›PMID 36435470›Full record

ArticleInternational journal of biological macromolecules2023

Structural evolution of Delta lineage of SARS-CoV-2.

Mohammad Mahmoudi Gomari, Parastoo Tarighi, Edris Choupani, Shadi Abkhiz, Masoud Mohamadzadeh, Neda Rostami, Esmaeil Sadroddiny, Soukayna Baammi, Vladimir N Uversky, Nikolay V Dokholyan

Abstract read
In one paragraph

Article in International journal of biological macromolecules, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
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

10 authors.

Mohammad Mahmoudi GomariStudent Research Committee, Iran University of Medical Sciences, Tehran 1449614535, Iran; Department of Medical Biotechnology, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran.
Parastoo TarighiDepartment of Medical Biotechnology, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran.
Edris ChoupaniDepartment of Medical Biotechnology, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran.
Shadi AbkhizDepartment of Medical Biotechnology, Faculty of Allied Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran.
Masoud MohamadzadehDepartment of Chemistry, Faculty of Sciences, University of Hormozgan, Bandar Abbas 7916193145, Iran.
Neda RostamiDepartment of Chemical Engineering, Faculty of Engineering, Arak University, Arak 3848177584, Iran.
Esmaeil SadroddinyMedical Biotechnology Department, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran 1417613151, Iran.
Soukayna BaammiAfrican Genome Centre (AGC), Mohammed VI Polytechnic University, Benguerir 43150, Morocco.
Vladimir N UverskyDepartment of Molecular Medicine and USF Health Byrd Alzheimer's Research Institute, Morsani College of Medicine, University of South Florida, Tampa, FL 33620, USA; Research Center for Molecular Mechanisms of Aging and Age-Related Diseases, Moscow Institute of Physics and Technology, 141700 Dolgoprudny, Russia. Electronic address: vuversky@usf.edu.
Nikolay V DokholyanDepartment of Pharmacology, Department of Biochemistry & Molecular Biology, Pennsylvania State University College of Medicine, Hershey, PA 16802, USA. Electronic address: nxd338@psu.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the main obstacles in prevention and treatment of COVID-19 is the rapid evolution of the SARS-CoV-2 Spike protein. Given that Spike is the main target of common treatments of COVID-19, mutations occurring at this virulent factor can affect the effectiveness of treatments. The B.1.617.2 lineage of SARS-CoV-2, being characterized by many Spike mutations inside and outside of its receptor-binding domain (RBD), shows high infectivity and relative resistance to existing cures. Here, utilizing a wide range of computational biology approaches, such as immunoinformatics, molecular dynamics (MD), analysis of intrinsically disordered regions (IDRs), protein-protein interaction analyses, residue scanning, and free energy calculations, we examine the structural and biological attributes of the B.1.617.2 Spike protein. Furthermore, the antibody design protocol of Rosetta was implemented for evaluation the stability and affinity improvement of the Bamlanivimab (LY-CoV55) antibody, which is not capable of interactions with the B.1.617.2 Spike. We observed that the detected mutations in the Spike of the B1.617.2 variant of concern can cause extensive structural changes compatible with the described variation in immunogenicity, secondary and tertiary structure, oligomerization potency, Furin cleavability, and drug targetability. Compared to the Spike of Wuhan lineage, the B.1.617.2 Spike is more stable and binds to the Angiotensin-converting enzyme 2 (ACE2) with higher affinity.

Indexed as

COVID-19SARS-CoV-2HumansMolecular Dynamics SimulationMutationProtein BindingSpike Glycoprotein, CoronavirusSpike Glycoprotein, Coronavirusspike protein, SARS-CoV-2B.1.617.2Computational biologyCOVID-19MutationSARS-CoV-2Spike

Identifiers

PMID36435470
PMCPMC9683856

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.