RESKO: Repositioning drugs by using side effects and knowledge from ontologies

Topological network measures for drug repositioning

Drug repositioning has received increased attention since the past decade as several blockbuster drugs have come out of repositioning. Computational approaches are significantly contributing to these efforts, of which, network-based methods play a key role. Various structural (topological) network measures have thereby contributed to uncovering unintuitive functional relationships and repositioning candidates in drug-disease and other networks. This review gives a broad overview of the topic, and offers perspectives on the application of topological measures for network analysis. It also discusses unexplored measures, and draws attention to a wider scope of application efforts, especially in drug repositioning.

A comparative study of the HPLC-MS profiles and biological efficiency of different solvent leaf extracts of two African plants: Bersama abyssinica and Scoparia dulcis

In the present study, two medicinal plants from Africa, namely Bersama abyssinica Fresen. and Scoparia dulcis L., were extracted using ethyl acetate, methanol, and water. The antioxidant, enzyme (α-amylase, α-glucosidase, acetyl- and butyrylcholinesterase, lipase, and tyrosinase) inhibitory action, and phytochemical profiles of extracts of Bersama abyssinica and Scoparia dulcis were determined. The aqueous (180.62 and 61.81 mg gallic acid equivalent/g extract, for B. abyssinica and S. dulcis respectively) and methanol (75.21 and 57.81 mg rutin equivalent/g extract, for B. abyssinica and S. dulcis, respectively) extracts contained high concentrations of phenolic and flavonoids, respectively. The ethyl acetate extracts of both plants were potent inhibitors of α-glucosidase and tyrosinase. Several phytochemical groups were determined by HPLC-MS/MS. The study tend to suggest that B. abyssinica and S. dulcis are potential candidates for the development of novel therapeutical agents.