In Silico Design of Peptide Inhibitors Targeting HER2 for Lung Cancer Therapy

Pep-7 emerged as the most promising therapeutic peptide, displaying strong binding stability, favorable binding free energy, and molecular stability in HER2-overexpressing cancer models. These findings suggest pep-7 as a viable therapeutic candidate for HER2-positive cancers, offering a potential novel treatment strategy against HER2-driven malignancies.

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Publication Details

Journal
Cancers
Published
2024-11-27
DOI
https://doi.org/10.3390/cancers16233979
Citations
3
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.08

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article

In Silico Design of Peptide Inhibitors Targeting HER2 for Lung Cancer Therapy

Heba Alkhatabi, Hisham N. Alatyb
3 citations
Cancers
Computational Drug Discovery Methods
1.08
article

In Silico Design of Peptide Inhibitors Targeting HER2 for Lung Cancer Therapy

Heba Alkhatabi, Hisham N. Alatyb
article en
3 citations

Abstract

Pep-7 emerged as the most promising therapeutic peptide, displaying strong binding stability, favorable binding free energy, and molecular stability in HER2-overexpressing cancer models. These findings suggest pep-7 as a viable therapeutic candidate for HER2-positive cancers, offering a potential novel treatment strategy against HER2-driven malignancies.

CancersVol. 16(23)
King Abdulaziz University (SA)
King Abdulaziz University
Affordable and clean energy
Openalex Percentile: Top 19%
Computational Drug Discovery Methods
1.08
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In Silico Design of Peptide Inhibitors Targeting HER2 for Lung Cancer Therapy — Heba Alkhatabi, Hisham N. Alatyb · Cancers (2024) | TGRS Research Map | TGRS