2023
DOI: 10.1371/journal.pone.0283271
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A drug design strategy based on molecular docking and molecular dynamics simulations applied to development of inhibitor against triple-negative breast cancer by Scutellarein derivatives

Shopnil Akash,
Farjana Islam Aovi,
Md. A. K. Azad
et al.

Abstract: Triple-negative breast cancer (TNBC), accounting for 10–15% of all breast malignancies, is more prevalent in women under 40, particularly in those of African descent or carrying the BRCA1 mutation. TNBC is characterized by the absence of estrogen and progesterone receptors (ER, PR) and low or elevated HER2 expression. It represents a particularly aggressive form of breast cancer with limited therapeutic options and a poorer prognosis. In our study, we utilized the protein of TNBC collected from the Protein Dat… Show more

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Cited by 10 publications
(6 citation statements)
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“…As the drug likeness test is a measure of biochemical molecule with defined biological and pharmacological activity owing to its physical attributes and molecular features, being a probable orally administered drug [56] . In this aspect, both the selected ligand and the standard compound Inabenfide satisfied the Lipinski rule and didn't violate any of the gold standard criteria [49] …”
Section: Discussionmentioning
confidence: 99%
“…As the drug likeness test is a measure of biochemical molecule with defined biological and pharmacological activity owing to its physical attributes and molecular features, being a probable orally administered drug [56] . In this aspect, both the selected ligand and the standard compound Inabenfide satisfied the Lipinski rule and didn't violate any of the gold standard criteria [49] …”
Section: Discussionmentioning
confidence: 99%
“…The resulting trajectories from the simulations were analyzed by using a combination of Gromacs tools. The key structural parameters, such as root-mean-square deviation (RMSD) and root-mean-square fluctuation (RMSF), were monitored over the simulation time to assess conformational changes and stability . The statistical analyses were performed using appropriate tools to extract meaningful information from the molecular dynamics trajectories.…”
Section: Methodsmentioning
confidence: 99%
“…Computational methods possess the capability to tackle and mitigate these problems. The report and research have emphasized the signi cant bene ts of utilizing ADME to predict the pharmacokinetics of drug molecules before clinical or pre-clinical trials [39] . The web-based server pkCSM (pkcsm/prediction) [40] is a convenient and freely available resource for predicting the pharmacokinetic properties of drugs, including their absorption, distribution, metabolism, and excretion (ADME) characteristics.…”
Section: Prediction Of Adme Propertiesmentioning
confidence: 99%