Computational design and experimental substantiation of conformationally constrained peptides from the complex interfaces of transcriptional enhanced associate domains with their cofactors in gastric cancer.

Zhang, Donglei et al.·Computational biology and chemistry·2021·
RPEP-059252021RETHINKTHC RESEARCH DATABASErethinkthc.com/research

Quick Facts

Study Type
Not classified
Evidence
Not graded
Sample
Not reported

What This Study Found

Cyclized and stapled peptides showed improved affinity for Tead cofactors, maintaining selectivity.

Key Numbers

How They Did This

The study involved computational design and experimental validation of peptide modifications to enhance binding to Tead-cofactor complexes.

Why This Research Matters

These findings could lead to the development of new therapeutic strategies for gastric cancer by targeting specific protein interactions.

What This Study Doesn't Tell Us

The study primarily focuses on in vitro findings, which may not fully translate to in vivo conditions.

Trust & Context

Original Title:
Computational design and experimental substantiation of conformationally constrained peptides from the complex interfaces of transcriptional enhanced associate domains with their cofactors in gastric cancer.
Published In:
Computational biology and chemistry, 94, 107569 (2021)
Database ID:
RPEP-05925

Evidence Hierarchy

Meta-Analysis / Systematic Review
Randomized Controlled Trial
Cohort / Case-Control
Cross-Sectional / ObservationalSnapshot without intervening
This study
Case Report / Animal Study
What do these levels mean? →

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Cite This Study

RPEP-05925·https://rethinkpeptides.com/research/RPEP-05925

APA

Zhang, Donglei; Wu, Hongna; Zhao, Jing. (2021). Computational design and experimental substantiation of conformationally constrained peptides from the complex interfaces of transcriptional enhanced associate domains with their cofactors in gastric cancer.. Computational biology and chemistry, 94, 107569. https://doi.org/10.1016/j.compbiolchem.2021.107569

MLA

Zhang, Donglei, et al. "Computational design and experimental substantiation of conformationally constrained peptides from the complex interfaces of transcriptional enhanced associate domains with their cofactors in gastric cancer.." Computational biology and chemistry, 2021. https://doi.org/10.1016/j.compbiolchem.2021.107569

RethinkPeptides

RethinkPeptides Research Database. "Computational design and experimental substantiation of conf..." RPEP-05925. Retrieved from https://rethinkpeptides.com/research/zhang-2021-computational-design-and-experimental

Access the Original Study

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.