Design of a multi-epitope vaccine candidate against Helicobacter pylori in gastric cancer: an immunoinformatic approach

The results showed that final vaccine design would work well as an effective prophylactic vaccine against <i>H. pylori</i>. To evaluate vaccine efficacy against the aforementioned bacteria, <i>in vivo</i> and <i>in vitro</i> trials are required.

Authors

Institutions

Publication Details

Journal
PubMed
Published
2025-06-16
DOI
https://doi.org/10.3205/dgkh000556
Citations
1
Primary Topic
Monoclonal and Polyclonal Antibodies Research
Type
article
Field-Weighted Citation Impact
1.36
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design of a multi-epitope vaccine candidate against Helicobacter pylori in gastric cancer: an immunoinformatic approach

Razieh Amini, Shahab Mahmoudvand, Samira Sanami, Ali Shojaeian et al.
1 citations
PubMed
Monoclonal and Polyclonal Antibodies Research
1.36
article

Design of a multi-epitope vaccine candidate against Helicobacter pylori in gastric cancer: an immunoinformatic approach

Razieh Amini, Shahab Mahmoudvand, Samira Sanami, Ali Shojaeian, Abbas Alibakhshi
article en
1 citations

Abstract

The results showed that final vaccine design would work well as an effective prophylactic vaccine against <i>H. pylori</i>. To evaluate vaccine efficacy against the aforementioned bacteria, <i>in vivo</i> and <i>in vitro</i> trials are required.

PubMedVol. 20
Hamedan University of Medical Sciences (IR), Semnan University of Medical Sciences (IR)
Openalex Percentile: Top 18%
Monoclonal and Polyclonal Antibodies Research
1.36
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.