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1.
Article in English | MEDLINE | ID: mdl-38798213

ABSTRACT

BACKGROUND: Inhibiting receptor-tyrosine-kinase (RTK) signalling pathways has emerged as a key focus of novel cancer therapy development. Vascular endothelial growth factor receptor (VEGFR) is a member of the RTK family and is required for vasculogenesis and angiogenesis. Because VEGFR 2 is the subtype responsible for cellular angiogenesis and vasculogenesis, blocking it will impair tumour cell blood supply, reducing their development, proliferation, and metastasis. AIM & OBJECTIVE: The aim of this study is to obtain an optimised pharmacophore as a VEGFR2 inhibitor using QSAR investigations. This aids in determining the link between structure and activity in new chemical entities (NCEs). MATERIALS AND METHODS: The multi-linear regression approach (MLR) method was utilised to generate the QSAR Model using the programme QSARINS v.2.2.4. RESULTS AND DISCUSSION: For 2D QSAR, the best models produced has correlation coefficients of R2= 0.9396. The 3D-QSAR model obtained with R2= 0.9121 and Q2 = 0.8377. Taking docking observations, pharmacological behaviour, and toxicity analyses into account, most of the derivatives demonstrated VEGFR2 inhibitory competence. CONCLUSION: According to QSAR studies, more electron-donating groups on the benzene ring linked to the isoxazole were shown to be necessary for activity. In molecular docking studies, most compounds have shown stronger affinity for the crucial amino acids Cys:919, Asp:1046, and Glu:885, which are found in typical drugs. All NCEs passed the Lipinski screening.

2.
Article in English | MEDLINE | ID: mdl-37921215

ABSTRACT

BACKGROUND: Cancer is a devastating disease. Many studies have shown that the primary causes of the aggressive and resistant types of cancer are the overexpression of receptors and growth factors, activation of oncogenes, and the inactivation of tumour suppressor genes. One such receptor is the epidermal growth factor receptor (EGFR), which is used as a drug target for the treatment of cancer. OBJECTIVE: This study aimed to develop the new chemical entities of amide derivatives of chalcone as EGFR inhibitors using structure-activity relationship (SAR) studies, molecular docking, and ADMET (absorption, distribution, metabolism, excretion, and toxicity) studies. METHOD: New chemical entities (NCE) were designed based on literature findings. The Schrodinger 13.4 software was used for the molecular docking study. While Quickprop and Pro Tox-II online tools were used for ADME and toxicity prediction, respectively. RESULT: In this work, all compounds were subjected to an in-silico ADMET analysis. After pharmacokinetic and toxicity profile predictions, the molecules were further analysed by molecular docking. As a result of molecular docking, molecules AC9 and AC19 showed comparable docking scores compared to standard Afatinib. CONCLUSION: Molecules AC9 and AC19 showed good docking scores and a promising ADMET profile. In the future, these derivatives can be further evaluated for wet lab studies and determination of their biological activity.

3.
Article in English | MEDLINE | ID: mdl-37056063

ABSTRACT

BACKGROUND: Past few decades have witnessed the co-existence of diabetes and hypertension leading to other health disorders. Hence, it is imperative to look into new therapies for the treatment of both hypertension and diabetes simultaneously in order to gradually reduce the pill burden and subsequent side effects. OBJECTIVE: The goal of the current work was to use several in silico methods to develop new entities that have both anti-diabetic and anti-hypertensive activity. METHODS: Structure activity relationship was drawn from the literature considering Thiazolidinones (Anti diabetes), Indole (Antihypertensive) and naturally occurring polyphenols (Dual activity) for simultaneous management of hypertension and diabetes. Fifty-six new chemical entities were designed and subjected to ADME and docking studies. Based on the Lipinski filter, bioavailability and lead likeness nineteen molecules were further docked into three PDB's (5Y2T, 4BVN, 1O8A). RESULTS: The majority of the NCE's have shown higher binding affinities than the standard drugs, with Compound 42 having the best results. Among nineteen NCE's, 50% of the compounds have shown the involvement of Thiazolidinone, Indole and Catechol pharmacophores with prominent hydrogen bonds, hydrophobic, electrostatic and pi-pi stacking interactions with all three PDB's signifying their potential dual activity. Most favourable interactions were shown by compound 42. CONCLUSION: The results obtained are encouraging for further exploration of the hit molecules for simultaneous treatment of the two diseases.


Subject(s)
Diabetes Mellitus , Hypertension , Humans , Molecular Docking Simulation , Diabetes Mellitus/drug therapy , Hypertension/complications , Hypertension/drug therapy , Antihypertensive Agents/therapeutic use , Indoles/therapeutic use
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