Evidence map›Paper›PMID 39713625›Full record

ArticleACS omega2024

In Silico Modeling and Characterization of Epstein-Barr Virus Latent Membrane Protein 1 Protein.

Dayang-Sharyati D A Salam, Kavinda Kashi Juliyan Gunasinghe, Siaw San Hwang, Irine Runnie Henry Ginjom, Xavier Chee Wezen, Taufiq Rahman

Abstract read
In one paragraph

Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Dayang-Sharyati D A SalamFaculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak, Kuching 93350, Malaysia.
Kavinda Kashi Juliyan GunasingheFaculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak, Kuching 93350, Malaysia.ORCID https://orcid.org/0000-0003-0242-0271
Siaw San HwangFaculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak, Kuching 93350, Malaysia.
Irine Runnie Henry GinjomFaculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak, Kuching 93350, Malaysia.
Xavier Chee WezenFaculty of Engineering, Computing and Science, Swinburne University of Technology Sarawak, Kuching 93350, Malaysia.ORCID https://orcid.org/0000-0001-8497-5953
Taufiq RahmanDepartment of Pharmacology, University of Cambridge, Cambridge CB2 1PD, U.K.ORCID https://orcid.org/0000-0003-3830-5160

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Latent membrane protein 1 (LMP1) plays a crucial role in Epstein-Barr virus (EBV)'s ability to establish latency and is involved in developing and progressing EBV-associated cancers. Additionally, EBV-infected cells affect the immune responses, making it challenging for the immune system to eliminate them. Due to the aforementioned reasons, it is crucial to understand the structural features of LMP1, which are essential for the development of novel cancer therapies that target its signaling pathways. To date, there is yet to be a complete LMP1 protein structure; therefore, in our work, we modeled the full-length LMP1 containing the short cytoplasmic N-terminus, six transmembrane domains (TMDs), and a long-simulated C-terminus. Our model showed good stability and protein compactness evaluated through accelerated-molecular dynamics, where the conformational ensemble exhibited compact folds, particularly in the TMDs. Our results suggest that specific domains or motifs, predominantly in the C-terminal domain of LMP1, show promise as potential drug targets. As a whole, our work provides insights into key structural features of LMP1 that will allow the development of novel LMP1 therapies.

Identifiers

PMID39713625
PMCPMC11656244

What Socratic holds

Textmetadata
LicenceCC BY
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.