The studies of neuro-protection and neuro-therapy effects of Acalypha indica Linn. water extract ex vivo on Musculus gastrocnemius frog have already done at three Departments in Faculty of Medicine, University of Indonesia. The experimental studies were done on 2 groups of frog for neuro-protection and neuro-therapy effects. Each group of frog was divided into 7 subgroups of application, 4 samples each. There were 5 subgroups of doses: 5; 10; 15; 20; 25 mg and 2 subgroups as control. Pancuronium bromide 0.2%, 4 mg, was used for a positive control as muscle relaxant. Neuroprotection study was done as follow: ringer-extract-pancuronium bromide, and neuro-therapy study was ringerpancuronium bromide-extract, respectively. The parameters measured in these studies were the electrical activities such as amount and duration (second) of re-polarization; depolarization, resting potential, and the height of spike after electrical stimulation at 5 mV. Neuro-protection effect of extract was determined by the ability of muscle to show the electrical response after incubating with pancuronium bromide for 10 minutes, and after incubating with extract for 10 minutes for neuro-therapy effect. In the dose of 15 mg and 20 mg/mL of A. indica Linn. extract showed better activities than the dose of 25 mg of extract, both as neuro-protection and neuro-therapy effects, but statistically its have not a significant difference. This study should be followed by an in vivo experiment on frog and it would be done in pharmacokinetic and pharmacodynamic studies on other animal models.

A multivariate analysis of the quantitative relationship of antioxidant structure and activity of a series of benzoic acid derivatives based on computational chemical properties was calculated. The parameters were obtained from the optimized structure of ionization pKa and hydrophobic ClogP while the compound activity was obtained from the literature. Analysis of the relationship between antioxidant activity and chemical properties of the compound was performed with the SPSS 21 program. The analysis result gives the best equation model as follows: Log 1 / IC50 = –1.514 + 0,516 log P + 0.087 pKa (n = 10 r = 0,962 SE = 0,301 Fcalc./Ftable = 1,422).

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