CCP4
CCP4 exists to produce and support a world-leading, integrated suite of programs that allows researchers to determine macromolecular structures by X-ray crystallography, and other biophysical techniques. CCP4 aims to develop and support the development of cutting edge approaches to experimental determination and analysis of protein structure, and integrate these approaches into the suite. CCP4 is a community based resource that supports the widest possible researcher community, embracing academic, not for profit, and for profit research. CCP4 aims to play a key role in the education and training of scientists in experimental structural biology. It encourages the wide dissemination of new ideas, techniques and practice.
Improved protein structures by quantum refinement - Ulf Ryde
Joint neutron and X-ray protein crystallography - Zoe Fisher
Placing low-occupancy fragments using the anomalous signal of sulfur and halogen atoms - Shumeng Ma
Kinetic cryocrystallography vs time-resolved crystallography - Nicolas Caramello
Mathematically deriving protein flexibility for single protein structures - Virginia Apostolopoulou
Explaining Conformational Diversity in Protein Families through Molecular Motions - Sergei Gudinin
Molecular-Dynamics Simulations of Protein Crystals to Enhance Conventional Modeling & Refinement
Exploring deep learning approaches to solving the phase problem - Mitchell D Miller
Integrating Machine Learning Frameworks in Scientific Workflows - Piero Gasparotto
Artificial Intelligence in Structural Biology: The Good, The Bad and The Ugly - Wladek Minor
Recent advances and limitations of RNA 3D structure prediction - Clément Bernard
Accelerating biological research using AlphaFold - Oleg Kovalevskiy
AI for molecular modeling and protein design - Eva Smorodina
Reconstructing Biological Molecules with Help from Video Gamers - Scott Horowitz & Robbie Joosten
Leveraging Large-Scale Data to Refine and Validate Metalloprotein Structures - Milana Bazayeva
Untangling models reveals hidden information in structural data - James Holton
Some considerations on diffraction data quality, diffraction limits & refinement approaches & outcom
Solve your structure with MR at warp speed - Airlie McCoy
Round Table - Skill Mismatch: Are We Training Structural Biologists for Jobs That Won't Exist?
CCP4 Study Weekend 2025 Introduction
Structure-function relationships of metalloproteins & assembly of their metallocofactors - Y Nicolet
Approaches to processing & selecting data in multi-crystal collection strategiesJames BeilstenEdmand
Analysing models from ultra-high resolution crystallography - Ashwin Chari
Probing crystallin using serial UV/X-ray crystallography - Briony Yorke
Teasing out the secrets of subtle protein dynamics - Helen Ginn
Validation of Ligands: Making decisions while modelling - Oliver Smart
Managing your data with LIMS systems - Ed Daniel
Decision making in MX – how to be a productive structural biologist - Judit Debreczeni
Everything, Everywhere, All at Once: multi-state, multi-dataset, multi-model refinement -Nick Pearce
Xtrapol8: Identifying and modelling low-occupancy states in MX crystallography - Elke De Zitter