Vakser I A
Center for Molecular Design, Washington University, St Louis, MO 63130, USA.
Protein Eng. 1996 Jan;9(1):37-41. doi: 10.1093/protein/9.1.37.
The multiple-minima problem is a classical problem in molecular structure prediction. For ligand-receptor systems, a possible direction to alleviate this major obstacle is to simplify the objective function (intermolecular energy) and smooth its profile. We introduce long-distance atom-atom potentials for ligand-receptor interactions. The longer ranges result in averaging of the energy potential at a given point. Our simplified force field is based on a trivial empirical representation of interatomic interactions as a step function. We demonstrate that the intermolecular energy calculation by a systematic search with such a simplified long-distance force field delivers the global minimum (crystallographically determined position of the ligand) by radically suppressing local minima (or false-positive fits). The effectiveness of the approach is demonstrated on different molecular complexes of known structure.
多极小值问题是分子结构预测中的一个经典问题。对于配体 - 受体系统,缓解这一主要障碍的一个可能方向是简化目标函数(分子间能量)并平滑其轮廓。我们引入了用于配体 - 受体相互作用的长程原子 - 原子势。更长的作用范围导致给定位置处能量势的平均化。我们简化的力场基于原子间相互作用的一种简单经验表示,即阶跃函数。我们证明,通过使用这种简化的长程力场进行系统搜索来计算分子间能量,通过从根本上抑制局部极小值(或假阳性拟合),能够得到全局最小值(配体的晶体学确定位置)。该方法的有效性在不同已知结构的分子复合物上得到了证明。