J. S. Richardson

The paper evaluates high-confidence AlphaFold predictions against experimental crystal structures, showing they are accurate but require experimental validation for detailed structural features.

This paper introduces an iterative AlphaFold method to accelerate crystal structure determination using sequence and crystallographic data, achieving higher accuracy than non-iterative approaches.

The paper improves AlphaFold modeling by incorporating experimental density maps iteratively, resulting in more accurate protein structure predictions.

The paper curates a high-quality protein residue dataset, demonstrating the benefits of residue-level filtering for structural bioinformatics.

The paper evaluates cryo-EM model quality using benchmark maps, showing high accuracy and reproducibility across 13 teams and recommending multiple metrics for model assessment.

The paper introduces new validation tools for macromolecular models, addresses security and technical challenges in structural biology validation, and improves 3D visualization and water molecule analysis.

The study assesses the role of algae in enhancing leaf litter decomposition in natural streams during autumn, finding a weak effect of algae on decomposition rates.