bioRxivBiophysics
Possible Implications of AlphaFold2 for Crystallographic Phasing by Molecular Replacement
Abstract
The AlphaFold2 results in the 14th edition of Critical Assessment of Structure Prediction (CASP14) showed that accurate (low root-mean-square deviation) in silico models of protein structure domains are on the horizon, whether or not the protein is related to known structures through high- coverage sequence similarity. As highly accurate models become available, generated by harnessing the power of correlated mutations and deep learning, one of the aspects of structural biology to be impacted will be methods of phasing in crystallography. We here use the data from CASP14 to explore the prospect for changes in phasing methods, and in particular to explore the prospects for molecular replacement phasing using in silico models. SynopsisWe discuss the implications of the AlphaFold2 protein structure modelling software for crystallographic phasing strategies.
- assay: protein structure
- research focus: protein structure prediction
- research focus: benchmarking
- approach: deep learning
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- AlphaFold Protein Structure Database for Sequence-Independent Molecular Replacement
- In the AlphaFold era, when is experimental phasing of protein crystals still required?
Ronan M. Keegan, Adam J. Simpkin, Daniel John Rigden·bioRxiv·Jul 19, 2024
- High-Accuracy Protein Structures By Combining Machine-Learning With Physics-Based Refinement
- Artificial intelligence to solve the X-ray crystallography phase problem: a case study report.
I. Barbarin-Bocahu, M. GRAILLE·bioRxiv·Dec 14, 2021
- A structural biology community assessment of AlphaFold 2 applications
M. Akdel, D. E. Pires, … P. Beltrao·bioRxiv·Sep 26, 2021
- Assessing the utility of CASP14 models for molecular replacement
Claudia Millán, Ronan M. Keegan, … Randy J. Read·Proteins Structure Function and BioinformaticsPeer-reviewed·Aug 12, 2021