T. C. Terwilliger

Likelihood-based docking of models into cryo-EM maps

This paper introduces a likelihood-based method for docking models into cryo-EM maps, improving speed and accuracy by using expected log-likelihood-gain scores.

Likelihood-based signal and noise analysis for docking of models into cryo-EM maps

The paper develops a likelihood-based method to analyze signal and noise in cryo-EM maps for improved model docking.

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.

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.

Density modification of cryo-EM maps

The paper examines density modification for cryo-EM maps and presents a procedure to incorporate model-based information while reducing model bias.

Improvement of cryo-EM maps by density modification

This paper introduces a density modification method for improving cryo-EM maps by combining half-map information and a model, enhancing map quality and detail visibility.

A fully automatic method yielding initial models from high-resolution electron cryo-microscopy maps

The paper develops a fully automatic method for optimizing and interpreting cryo-EM maps, achieving 71% residue reproduction for high-resolution reconstructions.

Automated map sharpening by maximization of detail and connectivity

The paper develops an algorithm to automatically sharpen cryo-EM maps by optimizing detail and connectivity, showing it improves map quality compared to model-based methods.