Lewis Moffat

Design in the DARK: Learning Deep Generative Models for De Novo Protein Design

This paper introduces a deep generative model for de novo protein design that efficiently samples novel sequences with ordered structures, outperforming existing methods trained on natural sequences.

Using AlphaFold for Rapid and Accurate Fixed Backbone Protein Design

The paper uses AlphaFold to design novel proteins with fixed backbones, showing agreement between predicted structures and desired backbones.

A Deep Semi-Supervised Framework for Accurate Modelling of Orphan Sequences

The paper introduces a semi-supervised framework for single-sequence protein modelling, achieving high accuracy in secondary structure prediction.