Insights from Multi-Target Molecular Docking and A549–BEAS-2B Comparative Assays: Valyltryptophan Dipeptide

Cancer, one of the leading causes of death worldwide, continues to be one of the most important areas where scientists are working to develop treatments. In particular, targeting dysregulated signaling pathways is seen as a key strategy for developing effective anticancer treatments. In this study, a combined in silico and in vitro approach was employed to assess the anticancer potential of Valyltryptophan (VW) dipeptide. Molecular docking analyses were conducted with five important proteins involved in oncogenic signaling—EGFR, HER2, mTOR, Akt1, and PI3K—to predict their binding modes and docking scores. Among all targets, the most favorable predicted docking score was obtained for Akt1 (–8.5 kcal/mol), with hydrogen bonding and hydrophobic contacts within the binding pocket. To complement the computational analysis, MTT assays were performed using human lung carcinoma cells (A549) and normal bronchial epithelial cells (BEAS-2B). VW reduced the MTT-derived metabolic viability of A549 cells to 51.9% of control at the highest tested concentration (1 mg/mL, 3.30 mM) after 48 h; because the 50% threshold was not crossed and the concentration–response relationship was non-monotonic, the IC50 is reported as >1 mg/mL. BEAS-2B viability remained above 70% at all tested concentrations. Two-way ANOVA indicated a significant cell type × concentration interaction (p<0.0001), although the difference between the two cell lines depended on concentration and exposure time. Overall, these results are preliminary and hypothesis-generating; they identify VW as a candidate with predicted multi-target binding potential that warrants evaluation with orthogonal viability, mechanistic, and in vivo studies

Authors

Institutions

Publication Details

Journal
Cumhuriyet Science Journal
Published
2026-10-27
DOI
https://doi.org/10.17776/csj.1845311
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

Insights from Multi-Target Molecular Docking and A549–BEAS-2B Comparative Assays: Valyltryptophan Dipeptide

Gizem Akman, Bilge Bıçak
3 links
Cumhuriyet Science Journal
Computational Drug Discovery Methods
article

Insights from Multi-Target Molecular Docking and A549–BEAS-2B Comparative Assays: Valyltryptophan Dipeptide

Gizem Akman, Bilge Bıçak
article en

Abstract

Cancer, one of the leading causes of death worldwide, continues to be one of the most important areas where scientists are working to develop treatments. In particular, targeting dysregulated signaling pathways is seen as a key strategy for developing effective anticancer treatments. In this study, a combined in silico and in vitro approach was employed to assess the anticancer potential of Valyltryptophan (VW) dipeptide. Molecular docking analyses were conducted with five important proteins involved in oncogenic signaling—EGFR, HER2, mTOR, Akt1, and PI3K—to predict their binding modes and docking scores. Among all targets, the most favorable predicted docking score was obtained for Akt1 (–8.5 kcal/mol), with hydrogen bonding and hydrophobic contacts within the binding pocket. To complement the computational analysis, MTT assays were performed using human lung carcinoma cells (A549) and normal bronchial epithelial cells (BEAS-2B). VW reduced the MTT-derived metabolic viability of A549 cells to 51.9% of control at the highest tested concentration (1 mg/mL, 3.30 mM) after 48 h; because the 50% threshold was not crossed and the concentration–response relationship was non-monotonic, the IC50 is reported as >1 mg/mL. BEAS-2B viability remained above 70% at all tested concentrations. Two-way ANOVA indicated a significant cell type × concentration interaction (p<0.0001), although the difference between the two cell lines depended on concentration and exposure time. Overall, these results are preliminary and hypothesis-generating; they identify VW as a candidate with predicted multi-target binding potential that warrants evaluation with orthogonal viability, mechanistic, and in vivo studies

Cumhuriyet Science JournalVol. 47(5)
Istanbul University (TR)
Good health and well-being
Openalex Percentile: Top 14%
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.

Laika access coming soon
Insights from Multi-Target Molecular Docking and A549–BEAS-2B Comparative Assays: Valyltryptophan Dipeptide — Gizem Akman, Bilge Bıçak · Cumhuriyet Science Journal (2026) | TGRS Research Map | TGRS