Rashin A A, Iofin M, Honig B
Biochemistry. 1986 Jun 17;25(12):3619-25. doi: 10.1021/bi00360a021.
A fast algorithm that detects internal cavities in proteins and predicts the positions of buried water molecules is described. The cavities are characterized in terms of volume, surface area, polarity, and the presence of bound waters. The algorithm is applied to 12 proteins whose structures are known to high resolution and successfully predicts the locations of over 80% of internal water molecules. Most proteins are found to have a number of internal cavities ranging in volume from 10 to 180 A3. Some of these cavities contain water and some do not, with the probability of containing a buried water increasing with cavity size. However, many large cavities are found to be empty (i.e., they do not contain a crystallographically determined water). For multidomain proteins over half of the total cavity volume is at the interdomain interface. Possible implications for the energetics of cavity formation and for the functional role of internal cavities are discussed.
本文描述了一种快速算法,该算法可检测蛋白质内部的空洞,并预测埋藏水分子的位置。这些空洞通过体积、表面积、极性以及结合水的存在来表征。该算法应用于12种已知高分辨率结构的蛋白质,并成功预测了超过80%的内部水分子的位置。大多数蛋白质被发现有一些内部空洞,其体积范围从10到180 ų。其中一些空洞含有水,一些则没有,含有埋藏水的概率随空洞大小增加。然而,许多大空洞被发现是空的(即它们不包含晶体学确定的水)。对于多结构域蛋白质,总空洞体积的一半以上位于结构域间界面。文中还讨论了空洞形成的能量学以及内部空洞的功能作用的可能影响。