To discover new lead compounds for M1 agonists. Ten typical M1 agonists were superimposed to build a M1 agonists 3D-pharmacophore model using distance-comparisons （DISCO） method without the previous knowledge of the...To discover new lead compounds for M1 agonists. Ten typical M1 agonists were superimposed to build a M1 agonists 3D-pharmacophore model using distance-comparisons （DISCO） method without the previous knowledge of the three-dimensional structure of M1 receptor. Virtual screening strategy was used to analyze the Available Chemicals Directory-Screening Compounds （ACD-SC） to identify possible new hits. Twenty-two compounds which fit the pharmacophore model well and are not similar with known M1 agonists were purchased in order to evaluate their M1 receptor agonist activity. One of them shows M1 receptor agonist activity with EC50 of 4.90 μmol/L and maximum response. Multiple of 10.0 which shows it worthy of further study as a new lead compound for M1 agonists.展开更多
Adenosine receptors are promising therapeutic targets in drug discovery. In this study, three-dimensional pharmacophore mod- els of human adenosine receptor A1 and A3 antagonists were developed based on 26 and 23 dive...Adenosine receptors are promising therapeutic targets in drug discovery. In this study, three-dimensional pharmacophore mod- els of human adenosine receptor A1 and A3 antagonists were developed based on 26 and 23 diverse compounds, respectively. The best A1 pharmacophore model （A1-Hopyl） consists of four features： one hydrogen bond donor, one hydrophobic point and two ring aromatics, while the best A3 pharmacophore model （A3_Hopyl） also has four features： one hydrogen bond ac- ceptor, one hydrophobic point and two ring aromatics. The correlation coefficients were 0.840 for A1 test set with 146 diverse compounds and 0.827 for A3 test set with 238 diverse compounds. In the simulated virtual screening experiments, high en- richment factors of 6.51 and 6.90 were obtained for A1_Hopyl and A3_Hopyl models, respectively. Moreover, two models also showed high subtype-selectivity in the simulated virtual screening experiments. These results could be helpful for the dis- covery of novel potent and selective A1 and A3 antagonists.展开更多
基金National Natural Science Foundation of China (Grant No. 30271538)985 program,Ministry of Education of China
文摘To discover new lead compounds for M1 agonists. Ten typical M1 agonists were superimposed to build a M1 agonists 3D-pharmacophore model using distance-comparisons （DISCO） method without the previous knowledge of the three-dimensional structure of M1 receptor. Virtual screening strategy was used to analyze the Available Chemicals Directory-Screening Compounds （ACD-SC） to identify possible new hits. Twenty-two compounds which fit the pharmacophore model well and are not similar with known M1 agonists were purchased in order to evaluate their M1 receptor agonist activity. One of them shows M1 receptor agonist activity with EC50 of 4.90 μmol/L and maximum response. Multiple of 10.0 which shows it worthy of further study as a new lead compound for M1 agonists.
基金supported by the National Natural Science Foundation of China (21072059)the Program for New Century Excellent Talents in University (NCET-08-0774)+3 种基金the 111 Project (B07023)the Shanghai Committee of Science and Technology (11DZ2260600)the Fundamental Research Funds for the Central Universities (WY1113007)the National S&T Major Project of China ( 2009ZX09501-001)
文摘Adenosine receptors are promising therapeutic targets in drug discovery. In this study, three-dimensional pharmacophore mod- els of human adenosine receptor A1 and A3 antagonists were developed based on 26 and 23 diverse compounds, respectively. The best A1 pharmacophore model （A1-Hopyl） consists of four features： one hydrogen bond donor, one hydrophobic point and two ring aromatics, while the best A3 pharmacophore model （A3_Hopyl） also has four features： one hydrogen bond ac- ceptor, one hydrophobic point and two ring aromatics. The correlation coefficients were 0.840 for A1 test set with 146 diverse compounds and 0.827 for A3 test set with 238 diverse compounds. In the simulated virtual screening experiments, high en- richment factors of 6.51 and 6.90 were obtained for A1_Hopyl and A3_Hopyl models, respectively. Moreover, two models also showed high subtype-selectivity in the simulated virtual screening experiments. These results could be helpful for the dis- covery of novel potent and selective A1 and A3 antagonists.
