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文献翻译！谢谢！！！求准确！
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Identifying physiological ligands is necessary for annotating new protein structures, yet this presents a significant challenge to biologists and pharmaceutical chemists. Here we develop a predictor of cholesterol and cholate binding that works across diverse protein families, extending beyond sequence motif-based prediction. This approach combines SimSite3D site comparison with the detection of conserved interactions in cholesterol/cholate bound crystal structures to define 3-dimensional interaction motifs. The resulting predictor identifies cholesterol sites with an ~82% unbiased true positive rate in both membrane and soluble proteins, with a very low false positive rate relative to other predictors. The CholMine webserver can analyze users' structures, detect those likely to bind cholesterol/cholate, and predict the binding mode and key interactions. By deciphering the determinants of binding for these important steroids, CholMine may also aid in the design of selective inhibitors and detergents for targets such as G protein coupled receptors and bile acid receptors. 有点看不懂，没弄清什么意思！求解！！！ |
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武汉一心一译 
捐助贵宾 (著名写手)
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haioou: 金币+20, ★★★★★最佳答案 2015-03-15 21:58:47
haioou: 金币+20, ★★★★★最佳答案 2015-03-15 21:58:47
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Identifying physiological ligands is necessary for annotating new protein structures, yet this presents a significant challenge to biologists and pharmaceutical chemists. 识别生理学配体是注解全新蛋白质结构的必须过程，然而这一点却呈现一种重大的挑战，等待生物学家和药物化学家面对。 Here we develop a predictor of cholesterol and cholate binding that works across diverse protein families, extending beyond sequence motif-based prediction. 在此，我们研制了一种越策机制，能预测跨越不同蛋白质族的胆固醇和胆酸盐绑定，而不再仅限于排好序列的，基于主题的预测。 This approach combines SimSite3D site comparison with the detection of conserved interactions in cholesterol/cholate bound crystal structures to define 3-dimensional interaction motifs. 这种方法既能够进行SimSite3D 站点比力，也能够探测，胆固醇/胆盐晶体结构中的守恒互动，从而定义3D互动主题。 The resulting predictor identifies cholesterol sites with an ~82% unbiased true positive rate in both membrane and soluble proteins, with a very low false positive rate relative to other predictors. 相比其它预测机制，运用该结果预测机制，对膜和可溶性蛋白质中的胆固醇点进行识别，公正真实的阳性率达到82%，假阳性率十分低。 The CholMine webserver can analyze users' structures, detect those likely to bind cholesterol/cholate, and predict the binding mode and key interactions. CholMine网络服务器能否分析用户的结构，探测那些可能绑定胆固醇或者胆酸盐的物质，同时能预测结合模式和重要的相互作用。 By deciphering the determinants of binding for these important steroids, CholMine may also aid in the design of selective inhibitors and detergents for targets such as G protein coupled receptors and bile acid receptors. 通过破译，能通过绑定生成这些重要的类固醇，决定因素，CholMine也可以帮助设计 选择性抑制剂和洗涤剂，从而获得目标物，例如G蛋白偶联受体和胆汁酸受体。 |
2楼2015-03-15 21:18:03