Christopher J. Williams

RNAprecis: Prediction of full-detail RNA conformation from the experimentally best-observed sparse parameters

The paper introduces RNAprecis, an algorithm that predicts detailed RNA conformations from low-resolution experimental data, showing improved performance on outlier cases.

Categorizing prediction modes within low-pLDDT regions of AlphaFold2 structures

This paper identifies three prediction modes in low-pLDDT regions of AlphaFold2 structures and develops a tool to annotate and visualize them for improved interpretation.

Cis-nonPro Peptides: Genuine Occurrences and their Functional Roles

This paper identifies genuine cis-nonPro peptides using high-resolution data and quality filtering, revealing their functional roles in critical biological sites and carbohydrate-binding proteins.

Making the invisible enemy visible

The paper describes the rapid structural determination of SARS-CoV-2 proteins during the pandemic and the efforts to evaluate and improve these structures for drug and vaccine development.

An in silico map of the SARS-CoV-2 RNA Structurome

This paper uses ScanFold to map the RNA structural landscape of SARS-CoV-2 and identifies potential drug targets and antisense therapeutic regions.