Brocklehurst S M, Perham R N
Department of Biochemistry, University of Cambridge, United Kingdom.
Protein Sci. 1993 Apr;2(4):626-39. doi: 10.1002/pro.5560020413.
A new, automated, knowledge-based method for the construction of three-dimensional models of proteins is described. Geometric restraints on target structures are calculated from a consideration of homologous template structures and the wider knowledge base of unrelated protein structures. Three-dimensional structures are calculated from initial partly folded states by high-temperature molecular dynamics simulations followed slow cooling of the system (simulated annealing) using nonphysical potentials. Three-dimensional models for the biotinylated domain from the pyruvate carboxylase of yeast and the lipoylated H-protein from the glycine cleavage system of pea leaf were constructed, based on the known structures of two lipoylated domains of 2-oxo acid dehydrogenase multienzyme complexes. Despite their weak sequence similarity, the three proteins are predicted to have similar three-dimensional structures, representative of a new protein module. Implications for the mechanisms of posttranslational modification of these proteins and their catalytic function are discussed.
本文描述了一种全新的、基于知识的自动化蛋白质三维模型构建方法。通过考虑同源模板结构和更广泛的非相关蛋白质结构知识库,计算目标结构的几何约束。利用高温分子动力学模拟从初始部分折叠状态计算三维结构,随后使用非物理势对系统进行缓慢冷却(模拟退火)。基于2-氧代酸脱氢酶多酶复合物的两个硫辛酰化结构域的已知结构,构建了酵母丙酮酸羧化酶生物素化结构域和豌豆叶甘氨酸裂解系统硫辛酰化H蛋白的三维模型。尽管这三种蛋白质的序列相似性较弱,但预测它们具有相似的三维结构,代表了一种新的蛋白质模块。文中还讨论了这些蛋白质的翻译后修饰机制及其催化功能。