Anticancer peptides (ACPs) are promising therapeutic agents for targeting and killing cancer cells. The accurate prediction of ACPs from given peptide sequences remains as an open problem in the field of immunoinformatics. Recently, machine learning algorithms have emerged as a promising tool for helping experimental scientists predict ACPs. However, the performance of existing methods still needs to be improved. In this study, we present a novel approach for the accurate prediction of ACPs, which involves the following two steps: (i) We applied a two-step feature selection protocol on seven feature encodings that cover various aspects of sequence information (composition-based, physicochemical properties and profiles) and obtained their corresponding optimal feature-based models. The resultant predicted probabilities of ACPs were further utilized as feature vectors. (ii) The predicted probability feature vectors were in turn used as an input to support vector machine to develop the final prediction model called mACPpred. Cross-validation analysis showed that the proposed predictor performs significantly better than individual feature encodings. Furthermore, mACPpred significantly outperformed the existing methods compared in this study when objectively evaluated on an independent dataset.

For over 2000 years, ginseng (roots of Panax ginseng C.A. Meyer) has been used as a traditional herbal medicine. Ginsenosides are bioactive compounds present in ginseng responsible for the pharmacological effects and curing various acute diseases as well as chronic diseases including cardiovascular disease, cancer and diabetes. Structurally, ginsenosides consist of a hydrophobic aglycone moiety fused with one to four hydrophilic glycoside moieties. Based on the position of sugar units and their abundance, ginsenosides are classified into major and minor ginsenosides. Despite the great potential of ginsenosides, major ginsenosides are poorly absorbed in the blood circulation, resulting in poor bioavailability. Interestingly, owing to their small molecular weight, minor ginsenosides exhibit good permeability across cell membranes and bioavailability. However, extremely small quantities of minor ginsenosides extracted from ginseng plants cannot fulfill the requirement of scientific and clinical studies. Therefore, the production of minor ginsenosides in mass production is a topic of interest. In addition, their poor solubility and lack of targetability to tumor tissues limits their application in cancer therapy. In this review, various methods used for the transformation of major ginsenosides to minor ginsenoside compound K (CK) are summarized. For the production of CK, various transformation methods apply to major ginsenosides. The challenges present in these transformations and future research directions for producing bulk quantities of minor ginsenosides are discussed. Furthermore, attention is also paid to the utilization of nanoformulation technology to improve the bioavailability of minor ginsenoside CK.

Ginseng is popularly known to be the king of ancient medicines and is used widely in most of the traditional medicinal compositions due to its various pharmaceutical properties. Numerous studies are being focused on this plant's curative effects to discover their potential health benefits in most human diseases, including cancer- the most life-threatening disease worldwide. Modern pharmacological research has focused mainly on ginsenosides, the major bioactive compounds of ginseng, because of their multiple therapeutic applications. Various issues on ginseng plant development, physiological processes, and agricultural issues have also been studied widely through state-of-the-art, high-throughput sequencing technologies. Since the beginning of the 21st century, the number of publications on ginseng has rapidly increased, with a recent count of more than 6,000 articles and reviews focusing notably on ginseng. Owing to the implementation of various technologies and continuous efforts, the ginseng plant genomes have been decoded effectively in recent years. Therefore, this review focuses mainly on the cellular biomolecular sequences in ginseng plants from the perspective of the central molecular dogma, with an emphasis on genomes, transcriptomes, and proteomes, together with a few other related studies.

The family Thymelaeaceae, which includes huge evergreen trees that are sparsely distributed in tropical rainforests, includes the genus Aquilaria. Numerous medical conditions, including inflammation, cancer, and oxidative stress have been traditionally treated using Aquilaria agallocha and Aquilaria malaccensis. In this study, we evaluated in silico and biological activity with A. agallocha and A. malaccensis sample for more conformation. Raw 264.7 macrophage cells and HacaT cells were used, together with the MTT, ROS, NO, and wound healing assays, to investigate the possible cytotoxicity in A549 lung cancer. Thus, A. agallocha and A. malaccensis showed significant cytotoxicity against A549 cancer cells at 1000 µg/mL. Furthermore, we observed an elevated ROS level in cancer cells. The wound healing assay showed cancer cell inhibition activity. While BCL-2 decreased in the intrinsic route, p53, Bax, Caspase 3, and Caspase 9 were elevated by A.A and A.M. Additionally, we have also conducted an in silico evaluation followed by molecular dynamics (MD) simulations, along with ADMET and biological activity prediction to further validate the experimental results. In normal cells, both samples showed less toxicity at 1000 µg/mL and suppressed the LPS-treated NO and ROS levels against the inflammation. Additionally, A.A and A.M suppressed the pro-inflammatory gene expression of COX-2, iNOS, TNF-α, IL-6, and IL-8 in RAW 264.7 cells. On the other hand, A.A and A.M extract effectively suppressed oxidative stress by increasing the antioxidative gene expression in H₂O₂-induced HaCat cells at 50 μg/mL. This study revealed that the plant extracts from A. agallocha and A. malaccensis could exert a cytotoxic effect on lung adenocarcinoma cells through the activation of an intrinsic signaling pathway. Moreover, it could be a potential source of anti-inflammatory, antioxidant, and anti-cancer agents after consideration of in vivo and clinical studies.

Ginsenoside Rh1 (G-Rh1), a possible bioactive substance isolated from the Korean Panax ginseng Meyer, has a wide range of pharmacological effects. In this study, we have investigated the anticancer efficacy of G-Rh1 via in silico and in vitro methodologies. This study mainly focuses on the two metastatic regulators, Rho-associated protein kinase 1 (ROCK1) and RhoA, along with other standard apoptosis regulators. The ROCK1 protein is a member of the active serine/threonine kinase family that is crucial for many biological processes, including cell division, differentiation, and death, as well as many cellular processes and muscle contraction. The abnormal activation of ROCK1 kinase causes several disorders, whereas numerous studies have also shown that RhoA is expressed highly in various cancers, including colon, lung, ovarian, gastric, and liver malignancies. Hence, inhibiting both ROCK1 and RhoA will be promising in preventing metastasis. Therefore, the molecular level interaction of G-Rh1 with the ROCK1 and RhoA active site residues from the preliminary screening clearly shows its inhibitory potential. Molecular dynamics simulation and principal component analysis give essential insights for comprehending the conformational changes that result from G-Rh1 binding to ROCK1 and RhoA. Further, MTT assay was employed to examine the potential cytotoxicity in vitro against human lung cancer cells (A549) and Raw 264.7 Murine macrophage cells. Thus, G-Rh1 showed significant cytotoxicity against human lung adenocarcinoma (A549) at 100 µg/mL. In addition, we observed an elevated level of reactive oxygen species (ROS) generation, perhaps promoting cancer cell toxicity. Additionally, G-Rh1 suppressed the mRNA expression of RhoA, ROCK1, MMP1, and MMP9 in cancer cell. Accordingly, G-Rh1 upregulated the p53, Bax, Caspase 3, caspase 9 while Bcl2 is downregulated intrinsic pathway. The findings from our study propose that the anticancer activity of G-Rh1 may be related to the induction of apoptosis by the RhoA/ROCK1 signaling pathway. As a result, this study evaluated the functional drug-like compound G-Rh1 from Panax ginseng in preventing and treating lung cancer adenocarcinoma via regulating metastasis and apoptosis.

Green synthesis of metal nanoparticles from medicinal plants has provided a broad scope in biomedical research and functional food formulations due to low toxicity. Dendropanax morbifera (DM) is a versatile traditional medicine used for various inflammatory diseases due to its extensive antioxidant activity. We investigated DM as a natural capping agent for Zn²⁺ ions and coloaded it with tryptophan for its penetration and antiobesity behavior. DM zinc oxide nanoparticles (DM-ZnO NPs) were prepared and then entrapped with tryptophan (DM-ZnO-Try nanoemulsion (NE)) for stable formulation using the O/W nanoemulsion method. The hydrodynamic sizes measured by dynamic light scattering for DM-ZnO NPs and DM-ZnO-Try NE are about 146.26 ± 3.31 and 151.16 ± 3.59 nm, respectively. TEM and SEM reveal its morphology. In vitro analysis on both NPs and NE was non-toxic to RAW 264.7 and 3T3-L1 preadipocyte cell line. It significantly reduced the accumulated lipids through lipolysis performed at 10 ug/mL in 3T3-L1 preadipocyte cells. NE suppresses the differentiation of 3T3-L1 adipocytes and lowers triglycerides. Further, the substantial reduction of lipid content is evident with Oil Red O staining and OD measurement. In this present study, the synergetic effect of DM-ZnO NPs and tryptophan is reported, which provides a way for more detailed research on its efficacy for obesity and obesity-associated disorders.