ABSTRACT
Multi-target drugs attract increasing attentions for the therapy of complicated neurodegenerative diseases. In this study, a computer-assisted strategy was applied to search for multi-target compounds by the pharmacophore matching. This strategy has been successfully used to design dual-target inhibitor models against both the acetylcholinesterase (AChE) and poly (ADP-ribose) polymerase-1 (PARP-1). Based on two pharmacophore models matching and physicochemical properties filtering, one hit was identified which could inhibit AChE with IC50 value of (0.337 +/- 0.052) micromol x L(-1) and PARP-1 by 24.6% at 1 micromol x L(-1).
ABSTRACT
Ras/Raf/MEK/ERK singal transduction plays an important role in cell proliferation, differentiation, apoptosis, metastasis and metabolism. This investigation focused on this signal pathway and chose farnesyl transferase (FTase) as the main target and Raf-1 kinase as the second target. A lot of compounds were selected to construct the pharmacophore models of farnesyl transferase inhibitors (FTIs) and Raf-1 kinase inhibitors by using computer-aided drug design (CADD). The pharmacophore of FTIs is constituted by a hydrogen bonding acceptor, an aromatic ring, a positive ionizable and two hydrophobic regions; the pharmacophore of Raf-1 kinase is constituted by a hydrogen donor, a hydrogen acceptor, a hydrophobic regions and an aromatic ring. There are some similarities between the two pharmacophores. After analysis of the constructions of these two pharmacophores, some new aminomethylbenzoic acid derivatives with good forecasting activity against both of FTase and Raf-1 kinase were designed with these new pharmacophore models.
ABSTRACT
Objective By virtual screening in MDL,to search for a novel γ-secretase inhibitor.Methods A series of compounds were designed,synthesized,and evaluated based on pharmacophore model of γ-secretase inhibitors by virtual screening in MDL.Results The drug-likeness analytic data synthesized indicated that target compounds had drug-likeness.Each svnthesized compound was checked by IR spectroscopy,~1H and ~(13)C-NMR spectroscopy.Conclusion The designed compounds had better activity by model prediction.And the optimal compound showed a significant estimated activity value of 0.025 nmol/L and can be used as a lead for further drug development.
ABSTRACT
Based on ninety three acetylcholinesterase inhibitors (AChEIs) which have the same mechanism of action but are different in structural characteristics, the pharmacophore model for acetylcholinesterase inhibitor was constructed by the CATALYST system. The optimal pharmacophore model with three hydrophobic units, a ring aromatic unit and a hydrogen-bond acceptor unit were confirmed (Weight=3.29, RMS=0.53, total cost-null cost=62.75, Correl=0.93, Config=19.05). This pharmacophore model will act on the double active site of acetylcholinesterase and is able to predict the activity of known acetylcholinesterase inhibitors that are used for clinical treatment of Alzheimer's disease (AD), and can be further used to identify structurally diverse compounds that have higher activity treating with Alzheimer's disease (AD) by virtual screening.
ABSTRACT
The curcumin prodrugs, which could be selectively activated in tumor cells, were prepared to establish a basis for the targeted chemotherapy for cancer. On the basis of the molecular structure of curcumin, the N-maleoyl-L-valine-curcumin (NVC), N-maleoyl- glycine-curcumin (NGC) were chemically synthesized and identified by IR and NMR spectroscopy. After treatment with these two prodrugs for 6-24 h, the rates of growth inhibition on human bladder cancer EJ cells and renal tubular epithelial (HKC) cells were detected by MTT colorimetry. Our results showed that after the treatment with 20 μmol/L- 40 μmol/L NVC and NGC for 6 - 24 h, the growth inhibitory effects on EJ cells were 6.71% -65.13 % (P＜0.05), 10.96 % -73.01% (P ＜0.05), respectively, in both dose- and time-dependent manners. When compared with the curcumin of same concentrations, the growth inhibitory effects of these two prodrugs on HKC cells were significantly decreased (P＜0.01). It is concluded that activation of curcumin prodrugs via hydrolysis functions of cellular esterase could inhibit the growth activities of tumor cells, and reduce the side effects on normal diploid cells. This provided a novel strategy for further exploration of tumortargeted chemotherapeutic drugs.
ABSTRACT
The curcumin prodrugs, which could be selectively activated in tumor cells, were prepared to establish a basis for the targeted chemotherapy for cancer. On the basis of the molecular structure of curcumin, the N-maleoyl-L-valine-curcumin (NVC), N-maleoyl- glycine-curcumin (NGC) were chemically synthesized and identified by IR and NMR spectroscopy. After treatment with these two prodrugs for 6 - 24 h, the rates of growth inhibition on human bladder cancer EJ cells and renal tubular epithelial (HKC) cells were detected by MTT colorimetry. Our results showed that after the treatment with 20 micromol/L - 40 micromol/L NVC and NGC for 6 - 24 h, the growth inhibitory effects on EJ cells were 6.71% - 65.13% (P < 0.05), 10.96% - 73.01% (P < 0.05), respectively, in both dose- and time-dependent manners. When compared with the curcumin of same concentrations, the growth inhibitory effects of these two prodrugs on HKC cells were significantly decreased (P < 0.01). It is concluded that activation of curcumin prodrugs via hydrolysis functions of cellular esterase could inhibit the growth activities of tumor cells, and reduce the side effects on normal diploid cells. This provided a novel strategy for further exploration of tumor-targeted chemotherapeutic drugs.