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Nadine Schneider

2 accepted papers

2022

Learning to Extend Molecular Scaffolds with Structural Motifs

ICLR 2022poster

Recent advancements in deep learning-based modeling of molecules promise to accelerate in silico drug discovery. A plethora of generative models is available, building molecules either atom-by-atom and bond-by-bond or fragment-by-fragment. However, many drug discovery projects require a fixed scaffo…

2021

FS-Mol: A Few-Shot Learning Dataset of Molecules

NeurIPS 2021poster

Small datasets are ubiquitous in drug discovery as data generation is expensive and can be restricted for ethical reasons (e.g. in vivo experiments). A widely applied technique in early drug discovery to identify novel active molecules against a protein target is modelling quantitative structure-act…

Cited by 95SourceScholar