J. S. Richardson

AlphaFold predictions are valuable hypotheses, and accelerate but do not replace experimental structure determination

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

Accelerating crystal structure determination with iterative AlphaFold prediction

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

Improved AlphaFold modeling with implicit experimental information

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

The importance of residue-level filtering, and the Top2018 best-parts dataset of high-quality protein residues

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

Outcomes of the 2019 EMDataResource model challenge: validation of cryo-EM models at near-atomic resolution

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.

CaBLAM for CryoEM Chiropraxis, UnDowser to Rethink \"Waters\", and NGL Viewer to Recapture Online 3D Graphics in MolProbity Validation

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.

Priming of leaf litter decomposition by algae seems of minor importance in natural streams during autumn

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.