In Silico and in vitro Characterization of <i>Lactobacillus acidophilus</i> Bacteriocins as ROR-1-Targeted Therapeutics in Breast Cancer

This research highlights the potential of bacteriocins in cancer treatment and adds to evidence linking the microbiota to cancer, establishing new pathways for anticancer therapies from microbial sources.

Authors

Institutions

Publication Details

Journal
Iranian journal of pharmaceutical research
Published
2025-12-22
DOI
https://doi.org/10.5812/ijpr-163509
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In Silico and in vitro Characterization of Lactobacillus acidophilus Bacteriocins as ROR-1-Targeted Therapeutics in Breast Cancer

Sara Soheili, Seyed Hossein Hejazi, Shekufe Rezghi Barez, Hamid Abtahi et al.
Iranian journal of pharmaceutical research
Computational Drug Discovery Methods
article

In Silico and in vitro Characterization of Lactobacillus acidophilus Bacteriocins as ROR-1-Targeted Therapeutics in Breast Cancer

Sara Soheili, Seyed Hossein Hejazi, Shekufe Rezghi Barez, Hamid Abtahi, Seyed Davar Siadat
article en

Abstract

This research highlights the potential of bacteriocins in cancer treatment and adds to evidence linking the microbiota to cancer, establishing new pathways for anticancer therapies from microbial sources.

Iranian journal of pharmaceutical researchVol. 24(1)
Isfahan University of Medical Sciences (IR), Pasteur Institute of Iran (IR), Arak University of Medical Sciences (IR)
Good health and well-being
Openalex Percentile: Top 27%
Computational Drug Discovery Methods
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.