← back to search

Friedrich Rippmann

Merck (Germany) · DE
Area of research
Computational Theory and Mathematics · Molecular Biology
Research interest
Research interests include Computational Drug Discovery Methods, Protein Structure and Dynamics, Enzyme Structure and Function, and Machine Learning in Materials Science.
h-index
23
citations
4,177
works
66
NIH funding
primary concept
email

Recent publications

MELLODDY: Cross-pharma Federated Learning at Unprecedented Scale Unlocks Benefits in QSAR without Compromising Proprietary Information
Journal of Chemical Information and Modeling 2023cited by 107position: middledoi
KiSSim: Predicting Off-Targets from Structural Similarities in the Kinome
Journal of Chemical Information and Modeling 2022cited by 6position: middledoi
11th German Conference on Chemoinformatics (GCC 2015)
Journal of Cheminformatics 2016cited by 2position: middledoi
DoGSiteScorer: a web server for automatic binding site prediction, analysis and druggability assessment
Bioinformatics 2012cited by 588position: middledoi

Grants

No grants ingested yet.

Frequent collaborators

Andrea Volkamer · Helmholtz Institute for Pharmaceutical Research Saarland2 papers (2012–2022)Albert J. Kooistra · Science for Life Laboratory1 papers (2022–2022)Dominique Sydow · Charité - Universitätsmedizin Berlin1 papers (2022–2022)Daniel Kühn · Merck (Germany)1 papers (2012–2012)Matthias Rarey · Universität Hamburg1 papers (2012–2012)Eva Aßmann · Robert Koch Institute1 papers (2022–2022)