Bayesian Statistics Analysis for Spin Coupling Constant and Thermostability of Proteins

摘要

We present the use of Bayesian statistics to find the thermo stability and spin coupling constant of a protein. The spin-coupling constant provides high-level structure information about bond angles and rotation in a protein. Thermo stability is an important factor in protein efficacy. Modeling thermo stability permits finding the mutation temperature of a protein, which is crucial since it affects function. We have used Bayesian statistics (MCMC) to find the missing parameters for these two models. Our predictive models using the parameters found with this method show good results.