COMPUTATIONAL ANALYSIS OF HYDROLASE & CARBOHYDRATE-BINDING PROTEIN MECHANISMS

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目和 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 使用 AutoDock 和 ADT，使用可用的三维结构作为模板，通过先进的建模方法研究葡糖淀粉酶、b-淀粉酶、多种纤维素酶、磷脂酶 D 和表面活性剂蛋白 D。将碳水化合物自动对接到这些水解酶和该结合蛋白的活性位点中，产生最佳和次优对接的蛋白质-碳水化合物构象，这使得对蛋白质结构-功能关系有更深入的了解。他们还开发了一套先进的参数集来估计碳水化合物与蛋白质对接的自由能。具体研究包括结合参数、对接 β-淀粉酶和表面活性蛋白 D (Alain Laederach) 以及对接糖苷水解酶家族 1 酶（β-葡萄糖苷酶和五种相关水解酶）(Tony Hill)

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Using AutoDock and ADT to study glucoamylase, b-amylase, a number of cellulases, phospholipase D, and surfactant protein D by advanced modeling methods, using available three-dimensional structures as templates. Automated docking of carbohydrates into the active sites of these hydrolases and this binding protein yields optimal and suboptimal docked protein- carbohydrate conformations, and this allows an advanced understanding of protein structure-function relationships. They have also developed an advanced parameter set to estimate free energies of carbohydrate docking to proteins. Specific studies include binding parameters, docking into beta-amylase and surfactant protein D (Alain Laederach) and docking into Glycoside HydrolaseFamily 1 enzymes (beta-glucosidase and five related hydrolases) (Tony Hill)