Science For Solutions, LLC, West Windsor, NJ 08550, USA.
J Comput Aided Mol Des. 2012 Jan;26(1):125-34. doi: 10.1007/s10822-012-9541-6. Epub 2012 Jan 14.
The future of the advancement as well as the reputation of computer-aided drug design will be guided by a more thorough understanding of the domain of applicability of our methods and the errors and confidence intervals of their results. The implications of error in current force fields applied to drug design are given are given as an example. Even as our science advances and our hardware become increasingly more capable, our software will be perhaps the most important aspect in this realization. Some recommendations for the future are provided. Education of users is essential for proper use and interpretation of computational results in the future.
计算机辅助药物设计的发展和声誉的未来将受到更深入地了解我们方法的适用范围以及其结果的误差和置信区间的指导。本文以当前应用于药物设计的力场中的误差为例给出了相关影响。即使我们的科学在进步,我们的硬件也变得越来越强大,我们的软件在这一实现中也许仍然是最重要的方面。本文还提供了一些未来的建议。为了在未来正确使用和解释计算结果,用户教育至关重要。