Unlock Rapid Analyses Across the Whole PDB Using BinaryCIF @RCSBProteinDataBank
Unlock Rapid Analyses Across the Whole PDB Using BinaryCIF  @RCSBProteinDataBank
Uploaded December 2024 | Updated September 2026, 3 weeks ago
As macromolecular structures available through the Protein Data Bank (PDB) archive continue to grow in complexity and size, traditional text data formats like PDBx/mmCIF and the legacy PDB file format are becoming increasingly inefficient for transfer and parsing. To support scalable data analysis, binary formats and compression techniques are now essential.

Learn how to future-proof your data analysis with BinaryCIF, a fully interchangeable yet drastically more efficient flavor of the PDBx/mmCIF format. BinaryCIF not only boosts storage efficiency, but also substantially improves parsing speed, making it ideal for large-scale analyses. BinaryCIF is supported by resources such as RCSB PDB, PDBe, and AlphaFold DB.

To access more information along with supplementary materials visit pdb101.rcsb.org/train/training-events/binarycif

Video Sections:
00:00 Introduction
01:06 CIF, mmCIF, and BinaryCIF Basics. Create archive-wide statistics with Java
26:16 Working with mmCIF and BinaryCIF in Python
46:20 Q&A
Unlock Rapid Analyses Across the Whole PDB Using BinaryCIFDay 1 | Session 1 | Helen BermanPDB50 at BPS:  Gaetano T  Montelione, Closing RemarksPDB50 at the ACA: Frances H  Arnold, CaltechPDB50 at the ACA: Day 1 John Rubinstein, Sick Kid’s HospitalWhat is in a Computed Structure Model? Meet AlphaFold and RoseTTAFoldHow Neurons Communicate: An Introduction to Neurotransmission and Action Potential (from PDB-101)PDB50 at BPS: Gaetano T  Montelione, IntroductionFighting Cancer by Targeting G12CExtracting data from mmCIF files using the RCSB PDB APITutorial 5 – Structure Analysis & ComparisonCreating Animations with MolStar (Mol*)
RCSBProteinDataBank |

Unlock Rapid Analyses Across the Whole PDB Using BinaryCIF

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