The title compound,1-（2-（1 H-indol-3-yl）ethyl）-3-（2-methoxyphenyl）urea（C（18）H（19）N3O2,Mr = 309.36） has been synthesized,and its structure was characterized by ^1H-NMR,^13C-NMR,ESI-MS and single-crystal X-r...The title compound,1-（2-（1 H-indol-3-yl）ethyl）-3-（2-methoxyphenyl）urea（C（18）H（19）N3O2,Mr = 309.36） has been synthesized,and its structure was characterized by ^1H-NMR,^13C-NMR,ESI-MS and single-crystal X-ray diffraction.It crystallizes in the monoclinic space group P21/c with a = 16.2774（15）,b = 11.1082（10）,c = 9.0819（3） A,β = 103.09（9）°,V = 1599.5（3） A^3,Z = 4,T = 293（2） K,μ（MoKα） = 0.086 mm^（-1,Dc = 1.285 g/cm^3,F（000） = 656 and GOOF = 0.981.5973 reflections were measured（7.04≤2θ≤52.04°）,and 3143 were unique（Rint= 0.0393,Rsigma = 0.0546） and used in all calculations.The final R = 0.0756（I 〉 2σ（I）） and w R = 0.1976（all data）.The antitumor activity of the title compound was analyzed by MTT assay.Meanwhile,to rationalize its potencies in the CDK4 target,the title compound was docked into CDK4 protein and the interactions with the active site residues were analyzed.展开更多
Structure-based virtual screening（molecular docking）is now one of the most pragmatic techniques to leverage target structure for ligand discovery.Accurate binding pose prediction is critical to molecular docking.Her...Structure-based virtual screening（molecular docking）is now one of the most pragmatic techniques to leverage target structure for ligand discovery.Accurate binding pose prediction is critical to molecular docking.Here,we describe a general strategy to improve the accuracy of docking pose prediction by implementing the structural descriptor-based fltering and KGS-penalty function-based conformational clustering in an unbiased manner.We assessed our method against 150 high-quality protein–ligand complex structures.Surprisingly,such simple components are suffcient to improve the accuracy of docking pose prediction.The success rate of predicting near-native docking pose increased from 53%of the targets to 78%.We expect that our strategy may have general usage in improving currently available molecular docking programs.展开更多
基金supported by the Lanzhou Science and Technology Bureau Program Funds(2016-3-108)
文摘The title compound,1-（2-（1 H-indol-3-yl）ethyl）-3-（2-methoxyphenyl）urea（C（18）H（19）N3O2,Mr = 309.36） has been synthesized,and its structure was characterized by ^1H-NMR,^13C-NMR,ESI-MS and single-crystal X-ray diffraction.It crystallizes in the monoclinic space group P21/c with a = 16.2774（15）,b = 11.1082（10）,c = 9.0819（3） A,β = 103.09（9）°,V = 1599.5（3） A^3,Z = 4,T = 293（2） K,μ（MoKα） = 0.086 mm^（-1,Dc = 1.285 g/cm^3,F（000） = 656 and GOOF = 0.981.5973 reflections were measured（7.04≤2θ≤52.04°）,and 3143 were unique（Rint= 0.0393,Rsigma = 0.0546） and used in all calculations.The final R = 0.0756（I 〉 2σ（I）） and w R = 0.1976（all data）.The antitumor activity of the title compound was analyzed by MTT assay.Meanwhile,to rationalize its potencies in the CDK4 target,the title compound was docked into CDK4 protein and the interactions with the active site residues were analyzed.
文摘Structure-based virtual screening（molecular docking）is now one of the most pragmatic techniques to leverage target structure for ligand discovery.Accurate binding pose prediction is critical to molecular docking.Here,we describe a general strategy to improve the accuracy of docking pose prediction by implementing the structural descriptor-based fltering and KGS-penalty function-based conformational clustering in an unbiased manner.We assessed our method against 150 high-quality protein–ligand complex structures.Surprisingly,such simple components are suffcient to improve the accuracy of docking pose prediction.The success rate of predicting near-native docking pose increased from 53%of the targets to 78%.We expect that our strategy may have general usage in improving currently available molecular docking programs.
