Bayesian Methods in Structural Bioinformatics

The book "Bayesian Methods in Structural Bioinformatics" provides a comprehensive overview of the current state of statistical methods applied to problems in structural bioinformatics. It particularly addresses the prediction of protein structures, simulations, as well as experimental structure determination and analysis. The focus is on statistical methods that can be clearly interpreted within the framework of statistical physics, as opposed to less transparent approaches such as neural networks or support vector machines. The work is designed to be accessible to readers with a basic understanding of protein structure and requires only minimal mathematical background knowledge. Introductory chapters provide a solid foundation on central topics such as Bayesian statistics and concepts from the fields of machine learning and statistical physics.