R software for QSAR analysis in phytopharmacological studies.

INTRODUCTION: In recent decades, quantitative structure-activity relationship (QSAR) analysis has become an important method for drug design and natural product research. With the availability of bioinformatic and cheminformatic tools, a vast number of descriptors have been generated, making it challenging to select potential independent variables that are accurately related to the dependent response variable. OBJECTIVE: The objective of this study is to demonstrate various descriptor selection procedures, such as the Boruta approach, all subsets regression, the ANOVA approach, the AIC method, stepwise regression, and genetic algorithm, that can be used in QSAR studies. Additionally, we performed regression diagnostics using R software to test parameters such as normality, linearity, residual histograms, PP plots, multicollinearity, and homoscedasticity. RESULTS: The workflow designed in this study highlights the different descriptor selection procedures and regression diagnostics that can be used in QSAR studies. The results showed that the Boruta approach and genetic algorithm performed better than other methods in selecting potential independent variables. The regression diagnostics parameters tested using R software, such as normality, linearity, residual histograms, PP plots, multicollinearity, and homoscedasticity, helped in identifying and diagnosing model errors, ensuring the reliability of the QSAR model. CONCLUSION: QSAR analysis is vital in drug design and natural product research. To develop a reliable QSAR model, it is essential to choose suitable descriptors and perform regression diagnostics. This study offers an accessible, customizable approach for researchers to select appropriate descriptors and diagnose errors in QSAR studies.

Natural Flavonoids in the Prevention and Treatment of Lung Cancer: A Pharmacological Aspect.

Deadly disease cancer has many types; among them, lung cancer is responsible for the highest number of cancer mortality. Existing therapies as well as drugs for treating lung cancer are not effective and are often associated with innumerable side effects and toxicities. For these reasons, researchers have been working on developing novel anti-cancer medicines from plants and other natural sources that have a high safety profile. Natural flavonoids are a polyphenolic group of phytochemicals extracted from plants and other plant-derived compounds. Natural flavonoids are gaining popularity due to their unique and priceless medicinal properties, including anticancer properties. Several researchers have already declared that flavonoids possess the ability to treat different cancers, particularly lung cancer. The bioactivity of natural flavonoids is mainly due to their structural diversity. Natural flavonoids fight against lung cancer by regulating redox homeostasis, upregulating apoptosis, pro-apoptotic factors, and survival genes, arresting cell cycle progression, autophagy, reducing cell proliferation and invasiveness, maintaining inflammation response, downregulating anti-apoptotic factors, and targeting lung cancer signaling pathways. Flavonoids can act alone or synergistically with other agents to treat lung cancer. Due to these reasons, it is possible to use natural flavonoids as pharmaceutical leads to prevent and treat lung cancer.

Ethnomedicinal, Phytochemical and Nutra-pharmaceutical Potentials of Indian Arrowroot (Curcuma angustifolia Roxb).

Indian Arrowroot (Curcuma angustifolia Roxb) belonging to the Zingiberaceae family is widely distributed in India and some parts of Nepal, Thailand, Bangladesh and Pakistan. It is traditionally used as medicine for treating various diseases and also used as food. Few data are available about its application in pharmacology and therapeutics. Literature search for related contents, keywords such as "Curcuma angustifolia Roxb", "traditional food", "ethnomedicine", "pharmacology", "phytochemicals", "pharmacological activities" were used in search engines including PubMed, Google Scholar, Scopus, ScienceDirect, and Semantic Scholar. Secondary metabolites found in Indian Arrowroot include essential oils, alkaloids, flavonoids, terpenoids, phytosterols, terpenes, phenols, and others. Pharmacological activities such as antioxidant, antiinflammatory, anti-proliferative, anti-ulcerogenic, hepatoprotective, and anti-cancerous activities have been shown by Indian Arrowroot (Curcuma angustifolia Roxb). The presence of nutritional value and pharmaceutical potential gained demand in the various food production industries and pharmacology research. It may play a vital role in future studies of Curcuma angustifolia Roxb as ethnomedicine and further exploitation in pharmacological studies.

Acteoside (Verbascoside): A Prospective Therapeutic Alternative against Hepatocellular Carcinoma by Inhibiting the Expression of AXL, FGFR, BRAF, TIE2 and RAF1 Targets.

AIM: Hepatocellular carcinoma (HCC) is the world's second leading cause of cancerrelated mortality and the fifth most prevalent cancer overall. Several synthetic and plant-based remedies are in practice to treat diverse liver disorders. Because of their minimal side effects and protective characteristics, plant phenolics have the potential to become alternative therapeutics, replacing currently existing HCC medications. The present study identifies the plant phenolics as having the capacity to inhibit HCC with low side effects and cost efficiency. BACKGROUND: Hepatocellular carcinoma (HCC) is the leading cause of cancer-related mortality, despite the proven effectiveness of screening programs for at-risk individuals, the majority of patients have disease progression or tumor characteristics that preclude curative therapies at the time of diagnosis. Acteoside (Verbascoside) is a naturally occurring phenylethanoid glycoside found throughout the plant kingdom. Acteoside is a physiologically active chemical with the number of pharmacological and protective effects against various liver illnesses. OBJECTIVES: Currently used HCC medications have a variety of side effects. Plant-based chemicals offer the possibility of treating HCC with minimal side effects. The work is targeted to find the best phytochemical (plant phenolic) lead molecule for future drug development research against Hepatocellular carcinoma. METHODS: The targets were selected based on an analysis of relevant literature, and the 3D structures of the selected receptors were obtained in. pdb format from the RCSB-Protein data bank (PDB, http://www.rscb.org/pdb). Based on a review of the literature, sixty plant secondary metabolites, or plant phenolics, were selected. The ligand structures were obtained and downloaded in.sdf format from the NCBI PubChem chemicals database (https://pubchem.ncbi.nlm.nih.gov/). Molecular docking between the receptor and ligands was accomplished using the Molegro Virtual Docker 6.0 (MVD) software. RESULTS: The target RAF1, BRAF chain 1, TIE2 chain 2 FGFR1, FGFR2, AXL, and FGFR4 showed the best binding effectiveness with acteoside compared to their respective positive control. RET chain 1 and BRAF chain 2 acteoside showed prominent binding efficacy after Curcumin, and Epigallocatechingallate, respectively, against positive control. Present findings clearly point towards the potentiality of acteoside in inhibiting various HCC targets. CONCLUSION: Acteoside may be used as a prominent lead molecule in the future treatment of hepatic cancer with its multifaceted binding efficiencies against various target proteins.