Daniella Pretorius

The paper identifies candidate eukaryote homologs of Asgard archaea by analyzing structural clusters, revealing shared expansions of solenoid proteins.

This paper designs novel solenoid proteins using in silico evolution, achieving successful folding for alpha-solenoids and improved results for beta-solenoids with refinements.

SOLeNNoID is a deep learning pipeline that detects solenoid residues in protein structures, achieving a 71% increase in solenoid-containing entries compared to RepeatsDB.

This study uses AlphaFold to predict D1 subunit structures across photosynthetic organisms, revealing conserved regions and structural flexibility, and supports a phylogenetic scenario for D1 evolution.

RepeatParam parameterises repeat proteins by determining helical and superhelical parameters and analyses their relationships across families.