RCSBProteinDataBank | Extracting data from mmCIF files using the RCSB PDB API @RCSBProteinDataBank | Uploaded 1 year ago | Updated 3 hours ago
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.

Access the full course:
Part 1:
https://pdb101.rcsb.org/train/training-events/python

Part 2:
https://pdb101.rcsb.org/train/training-events/python2

Exploring Computed Structure Models on RCSB.org - Introduction

PDBx/mmCIF format - Not your parents’ legacy PDB format

Computed Structure Models: Confidence Levels in 3D Predictions

Pika the p21: Protector of the Cell Cycle

Introduction to Python and to Jupyter Notebooks

Computed Structure Models: Visualization, Validation, and Alignments

Leveraging RCSB PDB APIs for Bioinformatics Analyses and Machine Learning

Introduction to Mol* (MolStar) Molecular Graphics System

Nonlinear regression: Creating the Pandas DataFrame

Extracting data from mmCIF files using the RCSB PDB API @RCSBProteinDataBank