Publications by Arne Schneuing

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Evolutionary changes in the hepatitis B virus (HBV) genome could reflect its adaptation to host -induced selective pressure. Leveraging paired human exome and ultra -deep HBV genome-sequencing data from 567 affected individuals with chronic hepatitis B, we ...

The rapid progress in the field of deep learning has had a significant impact on protein design. Deep learning methods have recently produced a breakthrough in protein structure prediction, leading to the availability of high-quality models for millions of ...

Structure-based drug design (SBDD) aims to design small-molecule ligands that bind with high affinity and specificity to pre-determined protein targets. Generative SBDD methods leverage structural data of drugs with their protein targets to propose new dru ...

Molecular recognition events between proteins drive biological processes in living systems1. However, higher levels of mechanistic regulation have emerged, in which protein-protein interactions are conditioned to small molecules2, 3, 4-5. Despite recent ad ...

Fragment-based drug discovery has been an effective paradigm in early-stage drug development. An open challenge in this area is designing linkers between disconnected molecular fragments of interest to obtain chemically relevant candidate drug molecules. I ...

Arne Schneuing

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Joint host-pathogen genomic analysis identifies hepatitis B virus mutations associated with human NTCP and HLA class I variation

A new age in protein design empowered by deep learning

Structure-based drug design with equivariant diffusion models

Targeting protein-ligand neosurfaces with a generalizable deep learning tool

Equivariant 3D-conditional diffusion model for molecular linker design