Chan H S
Department of Biochemistry, and Department of Medical Genetics and Microbiology, Faculty of Medicine, University of Toronto, 1 King's College Circle, Toronto, Ontario M5S 1A8, Canada.
Nat Struct Biol. 1999 Nov;6(11):994-6. doi: 10.1038/14876.
A new computational approach optimizes searches for reduced protein folding alphabets that use fewer than 20 types of amino acids. The predicted optimal five-letter alphabet happens to be in agreement with the suggestive results of a recent experiment, but whether highly reduced alphabets are sufficient for truly protein-like properties remains an open experimental question.
一种新的计算方法优化了对简化蛋白质折叠字母表的搜索,该字母表使用的氨基酸类型少于20种。预测的最佳五字母字母表恰好与最近一项实验的暗示性结果一致,但高度简化的字母表是否足以具备真正类似蛋白质的特性仍是一个有待实验解决的问题。