Anti-proliferative potential of fluorinated curcumin analogues: experimental and computational analysis and review of the literature

Exploring Scoring Function Space: Developing Computational Models for Drug Discovery

BACKGROUND

The idea of scoring function space established a systems-level approach to address the development of models to predict the affinity of drug molecules by those interested in drug discovery.

OBJECTIVE

Our goal here is to review the concept of scoring function space and how to explore it to develop machine learning models to address protein-ligand binding affinity.

METHODS

We searched the articles available in PubMed related to the scoring function space. We also utilized crystallographic structures found in the protein data bank (PDB) to represent the protein space.

RESULTS

The application of systems-level approaches to address receptor-drug interactions allows us to have a holistic view of the process of drug discovery. The scoring function space adds flexibility to the process since it makes it possible to see drug discovery as a relationship involving mathematical spaces.

CONCLUSION

The application of the concept of scoring function space has provided us with an integrated view of drug discovery methods. This concept is useful during drug discovery, where we see the process as a computational search of the scoring function space to find an adequate model to predict receptor-drug binding affinity.

Preparation and evaluation of the anti-cancer properties of RGD-modified curcumin-loaded chitosan/perfluorohexane nanocapsules in vitro

Curcumin (Cur) encapsulation in nanocapsules (NCs) could improve its availability and therapeutic antitumor efficacy. Cur-loaded chitosan/perfluorohexane (CS/PFH) nanocapsules (CS/PFH-Cur-NCs) were thus synthesized via a nanoemulsion process. To further enhance the selective tumor targeting ability of Cur-loaded NCs, a novel CS/PFH-Cur-NCs with conjugation of Arg-Gly-Asp (RGD) peptide (RGD-CS/PFH-Cur-NCs) were prepared in this study. The properties of these NCs were then explored through in vitro release experiments and confocal laser scanning microscopy-based analyses of the ability of these NCs to target MDA-MB-231 breast cancer cells. In addition, an MTT assay-based approach was used to compare the relative cytotoxic impact of CS/PFH-Cur-NCs and RGD-CS/PFH-Cur-NCs on these breast cancer cells. It was found that both CS/PFH-Cur-NCs and RGD-CS/PFH-Cur-NCs were smooth, relatively uniform, spheroid particles, with the latter being 531.20 ± 68.97 nm in size. These RGD-CS/PFH-Cur-NCs can be ideal for contrast imaging studies, and were better able to target breast cancer cells in comparison to CS/PFH-Cur-NCs. In addition, RGD-CS/PFH-Cur-NCs were observed to induce cytotoxic MDA-MB-231 cell death more swiftly in comparison to CS/PFH-Cur-NCs. These findings suggest that NC encapsulation and RGD surface modification can remarkably improve the anti-tumor efficacy of Cur. These novel NCs may thus manifest a significant potential value in the realm of image-guided cancer therapy, underscoring an important direction for future research.