Eric W. Bell

The paper develops a compound prioritization strategy using a multi-layer perceptron trained on docked poses from multiple docking approaches to identify putative binders for the nuclear receptor LRH-1.

The paper determines the structure of the Gβγ-prefusion SNARE complex using cryo-EM and proposes a model for how Gβγ inhibits synaptic vesicle fusion by blocking SNARE complex assembly.

The paper develops classifiers to distinguish functional and trafficking effects of KCNQ1 variants, improving variant interpretation for LQTS and channelopathies.

FakeRotLib efficiently parameterizes non-canonical amino acids in Rosetta by generating rotamer distributions from small molecule conformers, outperforming existing methods.

PEPPI predicts protein-protein interactions using structural, sequence, and functional data, achieving higher accuracy than existing methods and identifying interactions relevant to SARS-CoV-2 infection.

TripletRes predicts high-accuracy protein contact-maps from primary sequences using deep residual convolutional networks and coevolutionary matrices, outperforming existing methods on benchmark datasets.

The paper re-analyzes computational findings from two studies, concluding that snakes are not intermediate hosts of 2019-nCoV and that spike protein insertions are naturally evolved from bat coronaviruses.