Isobonducellin phytocompound from Artemisia annua L. plant exhibits anti-colorectal cancer activity via AKT1 regulation: an in-silico study.

Identification of Bioactive Phytoconstituents from Michelia champaca L. Flowers and Their Interactions with CXCR4 and PTEN Targets: A Comprehensive ADMET,Molecular Docking, and Molecular Dynamics Study

P predictive findings suggest that specific M. champaca flower constituents possess strong targeted binding potential against PTEN and CXCR4 nodes, establishing a validated computational foundation that warrants downstream in vitro and in vivo functional experimental validation.

Computational Investigation of Cinnamon Phytochemicals Targeting Key Cancer Signaling Pathways: Molecular Docking, ADMET and Molecular Dynamics Simulations Analysis

Cancer remains one of the leading causes of morbidity and mortality worldwide, highlighting the need for safe and effective therapeutic strategies targeting multiple oncogenic pathways. Cinnamon (Cinnamomum spp.) contains several bioactive phytochemicals with reported antioxidant and anticancer properties; however, their potential interactions with key cancer-associated signaling proteins have not been comprehensively investigated. In this study, an integrated computational and preliminary experimental approach was employed to evaluate four major cinnamon phytochemicals, namely e-cinnamaldehyde, eugenol, p-cymene, and cinnamic acid. Consensus molecular docking was performed using AutoDock Vina (v1.2.7), Smina (v2020.12.10), and GNINA (v1.3.3) against phosphoinositide 3-kinase (PI3K), nuclear factor kappa B (NF-κB), and mammalian target of rapamycin (mTOR). Docking analyses were complemented by protein-ligand interaction profiling, pharmacokinetic and toxicity prediction (ADMET), and a 100 ns molecular dynamics simulation with MM/GBSA binding free-energy analysis of the selected mTOR-p-cymene complex. In addition, the antioxidant activity and cytotoxic effects of a crude methanolic cinnamon bark extract were evaluated using in vitro antioxidant assays and MTT assays against HCT-116 and HT-29 colorectal cancer cell lines. Consensus docking predicted that all four phytochemicals were capable of interacting with the selected protein targets, although the predicted binding profiles varied among the compounds. Eugenol showed comparatively more favorable predicted interactions with PI3K, p-cymene produced the lowest predicted docking score for NF-κB, and cinnamic acid displayed a comparatively consistent predicted multitarget binding profile across PI3K, NF-κB, and mTOR. ADMET analysis suggested that all compounds satisfied major drug-likeness criteria and exhibited predicted oral bioavailability, although potential cytochrome P450 interactions and hepatotoxicity were predicted for some compounds. Molecular dynamics simulation indicated that the selected mTOR-p-cymene complex maintained a stable binding pose throughout the simulation, while MM/GBSA analysis yielded a modest binding free-energy estimate (ΔG_bind = −4.70 ± 8.20 kcal/mol), which should be interpreted cautiously because of the observed energetic variability. The crude methanolic cinnamon bark extract exhibited antioxidant activity and reduced the viability of HCT-116 and HT-29 colorectal cancer cells in a concentration-dependent manner. Collectively, these findings provide computational predictions of potential interactions between selected cinnamon-derived phytochemicals and cancer-associated signaling proteins and are consistent with the preliminary observation that the crude cinnamon extract exhibits antioxidant activity and cytotoxic effects in colorectal cancer cell lines. However, the computational analyses do not establish direct inhibition of the PI3K/NF-κB/mTOR signaling pathway, and the biological assays were performed using a crude extract rather than isolated phytochemicals. Therefore, further studies using purified compounds, biochemical target validation, pathway-specific cellular analyses, and in vivo models are required to determine whether the predicted protein-ligand interactions contribute to the observed biological activity.

7-Deshydroxypyrogallin-4-carboxylic acid dietary phytochemical as a putative FTO inhibitor in breast cancer: an integrated computational and cytotoxicity study.

Breast cancer is the most frequently diagnosed malignancy in women globally, representing a major global health burden, with a significant subset of cases exhibiting resistance to standard therapeutic regimens. Recently, m6A RNA demethylases such as FTO have been identified as important oncogenes in breast cancer, which modify the epitranscriptome of tumor cells to favor expression of growth-promoting genes while suppressing expression of anti-apoptotic genes. In this study, we performed virtual screening of 1,000 dietary compounds targeting the FTO protein in order to discover potential therapies for breast cancer. 7-Deshydroxypyrogallin-4-carboxylic acid (DCA) was identified as the top-ranked candidate. Molecular dynamics (MD) simulations of DCA-FTO complex displayed the formation of stable hydrogen bonds for 200 ns of MD simulations. The ADMET-prediction of DCA showed high gastrointestinal tract absorption and is not expected to be Ames-toxic. The effect of DCA on the growth of MCF-7 human breast cancer cells was assessed by Sulforhodamine B (SRB) cytotoxicity assays and found to be dose- and time-dependent. The IC₅₀ values for the growth inhibition of MCF-7 breast cancer cells were found to be 90.7 µg/mL (365.4 µM) after 24 h of treatment and 40.8 µg/mL (164.4 µM) after 48 h. As a secondary exploratory analysis, lupinine was computationally evaluated against NQO1; however, its suboptimal binding stability and safety concerns preclude experimental advancement at this stage. These findings provide a preliminary mechanistic and experimental framework for DCA as a dietary FTO inhibitor in breast cancer, necessitating further validation through orthogonal target engagement assays, m6A quantification, and in vivo tumor models.

Investigating the phytochemical composition of Curcuma longa, Azadirachta indica, and Asparagus racemosus using network pharmacology and molecular docking approaches for ovarian cancer therapy

Exploration of Compounds Identified from Amomum cardamomum Seed Extract: LC-MS Profiling, Network Pharmacology, and Computational Analyses for Innovative Multi-Targeted Breast Cancer Therapy

Background Breast cancer remains one of the leading causes of cancer-related mortality worldwide, and the emergence of drug resistance, systemic toxicity, and limited efficacy of current therapies highlight the need for safer and more effective treatment. Natural products have emerged as promising sources of multi-target anticancer agents. A. cardamomum has demonstrated preliminary anticancer potential, yet the bioactive constituents and their molecular mechanisms in breast cancer remain poorly elucidated. Methods This study integrated in silico approaches to investigate the therapeutic potential of A. cardamomum seed extract against breast cancer. LC–MS analysis identified phytochemical compounds, followed by network pharmacology to determine their potential targets and molecular pathways. Pharmacokinetic and toxicity predictions were assessed through ADMET and Lipinski’s rule of five analyses to evaluate drug-likeness and safety. Molecular docking and molecular dynamics (MD) simulations were conducted to evaluate binding affinity and structural stability of compounds with key oncogenic proteins. Results LC-MS profiling identified 22 distinct compounds in A. cardamomum seeds. ADMET and Lipinski analyses demonstrated that most compounds possessed high gastrointestinal absorption, favorable oral bioavailability, and low toxicity risk. Network pharmacology highlighting SRC, TNF-α, Caspase-3, and EGFR as central nodes in the protein-protein interaction network. Molecular docking identified compounds C17 and C20 as the most promising bioactives, showing strong binding affinities and interactions similar to control ligands. MD simulations confirmed their stable complexes, indicating conformational stability and robust ligand–protein interactions. Conclusion This study highlights the promising multi-target anticancer potential of A. cardamomum seeds. Compounds C17 and C20 were identified as lead candidates with strong and stable interactions with key breast cancer-related proteins and favorable pharmacokinetic properties. These results suggest that A. cardamomum could serve as a potential source for developing new plant-based therapies against breast cancer. Further in vitro and in vivo investigations are warranted to validate their efficacy and safety.

Molecular Docking and Virtual Screening of Tetracera macrophylla Leaf Phytoconstituents Targeting Anticancer Therapy Development

Introduction: Globally, the incidence of cancer is rising at an alarming rate. Among various types, breast cancer was reported as the most prevalent cancer in females in 2022, while melanoma represents an aggressive form of skin cancer characterized by the malignant transformation of melanocytes. To address the urgent need for new anticancer drugs, traditional medicinal plants offer significant potential. Tetracera macrophylla is widely used by the inhabitants across Asia and Africa to treat diverse ailments, making it a promising candidate for investigation. The objective of the current study was to prepare a polar compound-based methanol extract of T. macrophylla leaves and identify bioactive compounds with potential anticancer activity. Methods: A sequential extraction technique was employed to obtain the methanol extract enriched in polar compounds, which was subsequently analysed using Q-ToF LCMS for compound identification. The identified compounds were then screened in silico against two cancer-related proteins (PDB IDs: 3OG7 and 3ERT) to evaluate their potential against melanoma and breast cancer. Lead compound selection was further refined through physicochemical and pharmacokinetic parameter assessments. Results: The methanol extract (yield: 9.29%) revealed ten compounds, predominantly flavonoids. Molecular docking analysis demonstrated favourable binding energies and interactions of these compounds with the target proteins. Notably, eight compounds namely isovitexin, epigallocatechin 3-O-caffeate, 5,7,4'-trihydroxyflavanone 7-sulfate, 7,8,4'-trihydroxyflavanone, 4,2',3',4'-tetrahydroxychalcone, urolithin A-3-O-glucuronide, epifisetinidol-4alpha-ol, and epicatechin monogallate exhibited drug-likeness properties. Conclusions: Collectively, this study provides a strong foundation for further research into the development of novel anticancer drugs derived from T. macrophylla leaves, targeting breast cancer and melanoma.