A. Schuffenhauer

Peter Ertl, Ansgar Schuffenhauer, A. Schuffenhauer, 2008, Progress in drug research. Fortschritte der Arzneimittelforschung. Progres des recherches pharmaceutiques.

Mining for Bioactive Scaffolds with Scaffold Networks: Improved Compound Set Enrichment from Primary Screening Data

Peter Ertl, Ansgar Schuffenhauer, Steffen Renner, 2011, J. Chem. Inf. Model..

Compound Set Enrichment: A Novel Approach to Analysis of Primary HTS Data

Peter Ertl, Ansgar Schuffenhauer, Christian N. Parker, 2010, J. Chem. Inf. Model..

MultiMCS: A Fast Algorithm for the Maximum Common Substructure Problem on Multiple Molecules

Ramesh Hariharan, Ramaswamy Nilakantan, Ansgar Schuffenhauer, 2011, J. Chem. Inf. Model..

Splitting chemical structure data sets for federated privacy-preserving machine learning

Y. Moreau, A. Schuffenhauer, J. Simm, 2021 .

Computational methods for scaffold hopping

Ansgar Schuffenhauer, A. Schuffenhauer, 2012 .

Evolution of Novartis' Small Molecule Screening Deck Design.

A. Schuffenhauer, Eugen Lounkine, N. Stiefl, 2020, Journal of medicinal chemistry.

Conformal efficiency as a metric for comparative model assessment befitting federated learning

Lewis H. Mervin, Anastasia Pentina, A. Schuffenhauer, 2023, Artificial Intelligence in the Life Sciences.

Annotating and mining the ligand-target chemogenomics knowledge space

Edgar Jacoby, Ansgar Schuffenhauer, E. Jacoby, 2004 .

An Ontology for Pharmaceutical Ligands and Its Application for in Silico Screening and Library Design

Ruedi Stoop, Edgar Jacoby, Ansgar Schuffenhauer, 2002, J. Chem. Inf. Comput. Sci..

Chemical Libraries: Screening for Biologically Active Small Molecules

Ansgar Schuffenhauer, A. Schuffenhauer, 2008 .

Splitting chemical structure data sets for federated privacy-preserving machine learning

Bernd Beck, Yves Moreau, Jaak Simm, 2021 .

Splitting chemical structure data sets for federated privacy-preserving machine learning

Y. Moreau, A. Schuffenhauer, J. Simm, 2021, Journal of Cheminformatics.

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information.

Lewis H. Mervin, Djork-Arné Clevert, T. Morawietz, 2023, Journal of chemical information and modeling.

Discovery of New Binders for DCAF1, an Emerging Ligase Target in the Targeted Protein Degradation Field.

A. Schuffenhauer, Philipp Holzer, N. Schmiedeberg, 2023, ACS Medicinal Chemistry Letters.

Peter Willett, Valerie J. Gillet, Ansgar Schuffenhauer, 2000, J. Chem. Inf. Comput. Sci..

Peter Willett, Valerie J. Gillet, Ansgar Schuffenhauer, 2000 .

Chemogenomics knowledge-based strategies in drug discovery.

Edgar Jacoby, Ansgar Schuffenhauer, Philipp Floersheim, 2003, Drug news & perspectives.

High-Throughput Screening Using iPSC-Derived Neuronal Progenitors to Identify Compounds Counteracting Epigenetic Gene Silencing in Fragile X Syndrome

T. Bouwmeester, A. Schuffenhauer, U. Schopfer, 2015, Journal of biomolecular screening.

Rule‐Based Classification of Chemical Structures by Scaffold

A. Schuffenhauer, Thibault Varin, 2011, Molecular informatics.

Compound Set Enrichment: A Novel Approach to Analysis of Primary HTS Data

P. Raman, A. Schuffenhauer, P. Ertl, 2010, J. Chem. Inf. Model..

Hetero-Diels-Aider Reactions of 1-0xa-1,3-butadienes

A. Schuffenhauer, L. Tietze, G. Kettschau, 1998, Current Organic Chemistry.

Key aspects of the Novartis compound collection enhancement project for the compilation of a comprehensive chemogenomics drug discovery screening collection.

Peter Meier, Pierre Acklin, Kamal Azzaoui, 2005, Current topics in medicinal chemistry.