Globally, malignancies cause one out of six mortalities, which is a serious health problem. Cancer therapy has always been challenging, apart from major advances in immunotherapies, stem cell transplantation, targeted therapies, hormonal therapies, precision medicine, and palliative care, and traditional therapies such as surgery, radiation therapy, and chemotherapy. Natural products are integral to the development of innovative anticancer drugs in cancer research, offering the scientific community the possibility of exploring novel natural compounds against cancers. The role of natural products like Vincristine and Vinblastine has been thoroughly implicated in the management of leukemia and Hodgkin’s disease. The computational method is the initial key approach in drug discovery, among various approaches. This review investigates the synergy between natural products and computational techniques, and highlights their significance in the drug discovery process. The transition from computational to experimental validation has been highlighted through in vitro and in vivo studies, with examples such as betulinic acid and withaferin A. The path toward therapeutic applications have been demonstrated through clinical studies of compounds such as silvestrol and artemisinin, from preclinical investigations to clinical trials. This article also addresses the challenges and limitations in the development of natural products as potential anti-cancer drugs. Moreover, the integration of deep learning and artificial intelligence with traditional computational drug discovery methods may be useful for enhancing the anticancer potential of natural products.

In continuation of our previous studies, we developed polymeric epigallocatechin 3-gallate (EGCG)-loaded nanoparticles (NPs) coupled with folic acid (FA), able to dually bind the human folate receptor alpha (FOLR1), and prostate-specific membrane antigen (PSMA ⁺ ) in prostate cancer (PCa) model. After a preliminary computational molecular recognition of NP′ ligand binding on the FOLR1 active site, we synthesized the biocompatible block-copolymer PLGA–PEG–FA to prepare EGCG-targeted NPs (EGCG-T-NPs). The obtained NPs were characterized by various analytical techniques, and anticancer efficacy was determined by different sets of experiments in a 3D culture of PCa using PC3 and 22Rv1 cell lines. Results showed a significant reduction in spheroid size by EGCG-T-NPs, especially in PSMA ⁺ (22Rv1) cells. The targeted NPs significantly enhanced the antiproliferative activity of EGCG against PCa cell lines, especially toward the PSMA ⁺ cells, known to have higher FOLR1 expression. We did not observe any changes in the reactive oxygen species formation in both studied cell lines. However, significant changes in mitochondrial depolarization (15%) and polarization (18%) were recorded in response to EGCG-T-NP compared to control in 22Rv1. Similarly, EGCG-T-NP treatment also showed an increase in the number of dead apoptotic cells in 22Rv1 spheroids. Collectively, the obtained results support our hypothesis about the role of these targeted nanoprototypes in the increasing cellular uptake of EGCG payload into PCa cells, thus enhancing its antitumor efficacy.

The second most common cause of mortality among women is breast cancer. A variety of natural compounds have been demonstrated to be beneficial in the management of various malignancies. Resveratrol is a promising anticancer polyphenolic compound found in grapes, berries, etc. Nevertheless, its low solubility, and hence its low bioavailability, restrict its therapeutic potential. Therefore, in our study, we developed a thermosensitive hydrogel formulation loaded with resveratrol nanoemulsion to enhance its bioavailability. Initially, resveratrol nanoemulsions were formulated and optimized utilizing a central composite-face-centered design. The independent variables for optimization were surfactant level, homogenization speed, and time, while the size and zeta potential were the dependent variables. The optimized nanoemulsion formulation was converted into a sensitive hydrogel using poloxamer 407. Rheological studies proved the formation of gel consistency at physiological temperature. Drug loading efficiency and in vitro drug release from gels were also analyzed. The drug release mechanisms from the gels were assessed using various mathematical models. The effect of the optimized thermosensitive resveratrol nanoemulsion hydrogel on the viability of human breast cancer cells was tested using MCF-7 cancer cell lines. The globule size of the selected formulation was 111.54 ± 4.16 nm, with a zeta potential of 40.96 ± 3.1 mV. Within 6 h, the in vitro release profile demonstrated a release rate of 80%. According to cell line studies, the produced hydrogel of resveratrol nanoemulsion was cytotoxic to breast cancer cells. Overall, the results proved the developed nanoemulsion-loaded thermosensitive hydrogel is a promising platform for the effective delivery of resveratrol for the management of breast cancer.

The present study was performed to determine the therapeutic effects of tioconazole (Tz)-loaded novel transferosome carriers (TFs) for the treatment of atopic dermatitis (AD). Method: Tioconazole transferosomes suspension (TTFs) was formulated and optimized using a 3² factorial design. After that, the optimized batch of TTFs loaded into Carbopol 934 and sodium CMC was prepared with hydrogel and noted as TTFsH. Subsequently, it was evaluated for pH, spread ability, drug content, in vitro drug release, viscosity, in vivo scratching and erythema score, skin irritation, and histopathology study. Result: The optimized batch of TTFs (B4) showed the values of vesicle size, flux, and entrapment efficiency to be 171.40 ± 9.03 nm, 48.23 ± 0.42, and 93.89 ± 2.41, respectively. All batches of TTFsH showed sustained drug release for up to 24 h. The F2 optimized batch released Tz in an amount of 94.23 ± 0.98% with a flux of 47.23 ± 0.823 and followed the Higuchi kinetic model. The in vivo studies provided evidence that the F2 batch of TTFsH was able to treat atopic dermatitis (AD) by reducing the erythema and the scratching score compared to that of the marketed formulation (Candiderm cream, Glenmark). The histopathology study supported the result of the erythema and scratching score study with intact skin structure. It showed that a formulated low dose of TTFsH was safe and biocompatible to both the dermis and the epidermis layer of skin. Conclusion: Thus, a low dose of F2-TTFsH is a promising tool that effectively targeted the skin for the topical delivery of Tz to treat atopic dermatitis symptoms.