Python is a powerful programming language that is widely used in many industries today. Python is easy to learn for beginners and has many modules and libraries that allow for robust bioinformatics analysis.
In the previous years many new methods that uses neural networks for sampling the protein conformational space have been presented. In this article we explore and evaluate these different neural network approaches.