How is Python Used in Biomolecular Sciences?

Explore the role of Python in biomolecular sciences through this 31-minute conference talk from EuroPython 2018. Discover how computational biologists have embraced Python for developing simulation and data analysis tools, enabling rapid prototyping and idea development. Learn about the challenges of tool compatibility and the creation of complex, adaptive workflows for guiding cutting-edge experiments, such as predicting drug-protein interactions. Gain insights into available Python-related tools in computational molecular biology and their applications. Examine BioSimSpace, an open-source Python library developed by the CCPBioSim consortium, which provides a common API to streamline workflow creation and overcome compatibility issues. Understand how BioSimSpace facilitates the development of interoperable workflow components for biomolecular problems and enables cloud-based prototyping using Jupyter notebooks.