Design and computational analysis of a novel Leptulipin-p28 fusion protein as a multitarget anticancer therapy in breast cancer.

Khalid, Sania et al.·Toxicology research·2024·
RPEP-085432024RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Not classified
Evidence
Not graded
Sample
Not reported

What This Study Found

Key Numbers

How They Did This

Why This Research Matters

What This Study Doesn't Tell Us

Trust & Context

Original Title:
Design and computational analysis of a novel Leptulipin-p28 fusion protein as a multitarget anticancer therapy in breast cancer.
Published In:
Toxicology research, 13(5), tfae174 (2024)
Database ID:
RPEP-08543

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
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Cite This Study

RPEP-08543·https://rethinkpeptides.com/research/RPEP-08543

APA

Khalid, Sania; Rehman, Hafiz Muhammad; Al-Qassab, Yasamin; Ahmad, Irfan; Fatima, Tehreem; Mubasher, Mian Muhammad; Kalsoom, Maria; Nadeem, Tariq; Bashir, Hamid. (2024). Design and computational analysis of a novel Leptulipin-p28 fusion protein as a multitarget anticancer therapy in breast cancer.. Toxicology research, 13(5), tfae174. https://doi.org/10.1093/toxres/tfae174

MLA

Khalid, Sania, et al. "Design and computational analysis of a novel Leptulipin-p28 fusion protein as a multitarget anticancer therapy in breast cancer.." Toxicology research, 2024. https://doi.org/10.1093/toxres/tfae174

RethinkPeptides

RethinkPeptides Research Database. "Design and computational analysis of a novel Leptulipin-p28 ..." RPEP-08543. Retrieved from https://rethinkpeptides.com/research/khalid-2024-design-and-computational-analysis

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Study data sourced from PubMed, a service of the U.S. National Library of Medicine, National Institutes of Health.

This study breakdown was produced by the RethinkPeptides research team. We analyze and report published research findings without making health recommendations. All interpretations are based solely on the published abstract and study data.