Robin Pearce

De Novo Protein Fold Design Through Sequence-Independent Fragment Assembly Simulations

This paper introduces FoldDesign, a method for de novo protein fold design that creates novel structures from secondary structure assignments, achieving high fidelity and stability.

De Novo RNA Tertiary Structure Prediction at Atomic Resolution Using Geometric Potentials from Deep Learning

DeepFoldRNA couples deep self-attention neural networks with gradient-based folding simulations to predict atomic-resolution RNA tertiary structures from sequence in ~1 minute with 2.69 A average RMSD.

Rational Design of SARS-CoV-2 Spike Glycoproteins To Increase Immunogenicity By T Cell Epitope Engineering

This study designs SARS-CoV-2 spike protein variants with enhanced immunogenicity by engineering T cell epitopes while preserving structure and function.

Identifying zoonotic origin of SARS-CoV-2 by modeling the binding affinity between Spike receptor-binding domain and host ACE2

This study identifies potential intermediate hosts of SARS-CoV-2 by modeling Spike-RBD binding affinity to ACE2 proteins across multiple species.

Computational Design of Peptides to Block Binding of the SARS-CoV-2 Spike Protein to Human ACE2

The paper designs peptides to block SARS-CoV-2 spike protein binding to hACE2 using computational methods, showing improved binding affinity compared to wild-type.