粒度
马尔可夫链
马尔可夫模型
计算机科学
马尔可夫过程
状态空间
统计物理学
变阶马尔可夫模型
国家(计算机科学)
马尔可夫性质
理论计算机科学
算法
数学
机器学习
物理
统计
程序设计语言
出处
期刊:Methods in molecular biology
日期:2013-09-03
卷期号:: 141-158
被引量:13
标识
DOI:10.1007/978-1-62703-658-0_8
摘要
Markov state models (MSMs) are a powerful means of (1) making sense of molecular simulations, (2) making a quantitative connection between simulation and experiment, and (3) driving efficient simulations. A Markov model can be thought of as a map of the conformational space a molecule explores. Instead of having towns and cities connected with roads labeled with speed limits, a Markov model has conformational states and probabilities of transitioning between pairs of these states. This tutorial describes how to build Markov models and a few of the basic analyses that can be performed with the MSMBuilder software package.
科研通智能强力驱动
Strongly Powered by AbleSci AI