Python Scripting for Biochemistry & Molecular Biology | Part 2
Virtual Crash Course | April 20, 2023
This is the second part of the IQB Crash Course designed to introduce life scientists to the power and flexibility of solving problems with Python. This course offers a brief review of Python and the Jupyter Notebook environment first, later diving into working with Python libraries and various types of data.
After watching the videos featured in this course, you will be able to:
- Extract data and build dataframes using the Pandas library
- Perform curve fitting with enzyme kinetics data
- Extract data from mmCIF files (the native Protein Data Bank data file format) using the Biopython library
- Extract data from mmCIF files using the RCSB PDB API
Additional materials for this course are available:
Click on the image below to play the video.
Part 2 Introduction
Stephen K. Burley
Director, RCSB Protein Data Bank
Python Primer: Review of Python and the Jupyter Notebook environment
Jessica A. Nash
Software Scientist, Molecular Sciences Software Institute (MolSSI)
Nonlinear regression: Creating the Pandas DataFrame
Paul A. Craig
Professor of Biochemistry, Rochester Institute of Technology (RIT)
Nonlinear regression: Curve fitting
Paul A. Craig
RIT
Extracting data from mmCIF files using the Biopython library
Jessica A. Nash
MolSSI
Extracting data from mmCIF files using the RCSB PDB API
Jessica A. Nash
MolSSI
