Pitera Jed W, Chodera John D
IBM Almaden Research Center, San Jose, California.
California Institute for Quantitative Biosciences (QB3), University of California, Berkeley, California.
J Chem Theory Comput. 2012 Oct 9;8(10):3445-51. doi: 10.1021/ct300112v. Epub 2012 Aug 27.
Historically, experimental measurements have been used to bias biomolecular simulations toward structures compatible with those observations via the addition of ad hoc restraint terms. We show how the maximum entropy formalism provides a principled approach to enforce concordance with these measurements in a minimally biased way, yielding restraints that are linear functions of the target observables and specifying a straightforward scheme to determine the biasing weights. These restraints are compared with instantaneous and ensemble-averaged harmonic restraint schemes, illustrating their similarities and limitations.
从历史上看,实验测量已被用于通过添加临时约束项,使生物分子模拟偏向于与这些观测结果兼容的结构。我们展示了最大熵形式主义如何提供一种有原则的方法,以最小偏差的方式强制与这些测量结果一致,产生作为目标可观测量线性函数的约束,并指定一种直接的方案来确定偏差权重。将这些约束与瞬时和系综平均的谐振约束方案进行比较,说明了它们的异同。