Discovery of Potential Phytochemicals from Carica papaya Targeting BRCA-1 in Breast Cancer Treatment

The BRCA1 and BRCA2 are genes that encode a protein that ensures the integrity of DNA and prevents the unregulated cells from proliferating. Mutations in the sequence of these genes are associated with the birth of inherited breast cancers. The research for possible human breast cancer treatment remains a vital step in the drug development process. In this study, in silico investigations involving a computational method for the discovery of active phytochemicals from Carica papaya against the BRCA-1 gene were carried out. The in silico studies for these phytochemicals datasets as BRCA-1 breast cancer therapeutic agents showed promising results through pharmacokinetics and pharmacodynamics studies. The Carica papaya compounds were found to follow the rule of five and have good bioavailability. The ADMET and drug-likeness screening score of the identified ligands also recognized their potential as a promising drug candidate against BRCA-1 while the DFT also confirm better biological and chemical reactivity of Carica papaya compounds with excellent intra-molecular charge transfer between electron donor and electron acceptor site. The results of the molecular docking provided useful information on possible target-lead interactions, demonstrating that the newly developed leads showed a high affinity for BRCA-1 targets and might be investigated for further research.

Quantum evaluation and therapeutic activity of (E)-N-(4-methoxyphenyl)-2-(4-(3-oxo-3-phenylprop-1-en-1-yl) phenoxy)acetamide and its modified derivatives against EGFR and VEGFR-2 in the treatment of triple-negative cancer via in silico approach

The most dangerous subtype of breast cancer, triple-negative breast cancer (TNBC), accounts for 25% of all breast cancer-related deaths and 15% of all breast cancer cases. TNBC is distinguished by the lack of immunohistochemical expression of HER2, progesterone receptors, or oestrogen receptors. Although it has been reported that upregulation of EGFR and VEGFR-2 is associated with TNBC progression, no proven effective targeted therapy exists at this time. We used structural bioinformatics methods, including density functional theory, molecular docking, molecular dynamic simulation, pharmacokinetic and drug-likeness models, to identify promising EGFR/VEGFR-2 inhibitors from N-(4-methoxyphenyl)-2-[4-(3-oxo-3-phenylprop-1-en-1-yl) phenoxy] acetamide and six of its modified derivatives in light of the lack of effective targets inhibitor Version 14 of Spartan software was used to analyse density functional theory. The Schrodinger software suite 2018's Maestro interface was used for the molecular docking analysis, and the admetSAR and swissADME servers were used for drug-likeness and absorption, distribution, metabolism, excretion, and toxicity. All of the compounds showed strong electronic characteristics. Additionally, all of the tested compounds met the ADMET and drug-likeness requirements without a single instance of Lipinski's rule of five violations. Additionally, the molecules' levels of affinity for the target proteins varied. The highest binding affinities were demonstrated by the MOLb-VEGFR-2 complex (- 9.925 kcal/mol) and the MOLg-EGFR complex (- 5.032 kcal/mol). The interaction of the molecules in the domain of the EGFR and VEGFR-2 receptors was also better understood through molecular dynamic simulation of the complex.