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OSIRIS, an Entirely in-House Developed Drug Discovery Informatics System

Sander, Thomas, Freyss, Joel, von Korff, Modest, Reich, Jacqueline Renée, Rufener, Christian·2009·Journal of Chemical Information and Modeling

Abstract

We present OSIRIS, an entirely in-house developed drug discovery informatics system. Its components cover all information handling aspects from compound synthesis via biological testing to preclinical development. Its design principles are platform and vendor independence, a consistent look and feel, and complete coverage of the drug discovery process by custom tailored applications. These include electronic laboratory notebook applications for biology and chemistry, tools for high-throughput and secondary screening evaluation, chemistry-aware data visualization, physicochemical property prediction, 3D-pharmacophore comparisons, interactive modeling, computing grid based ligand-protein docking, and more. Most applications are developed in Java and are built on top of a Java library layer that provides reusable cheminformatics functionality and GUI components such as chemical editors, structure canonicalization, substructure search, combinatorial enumeration, enhanced stereo perception, force field minimization, and conformation generation.

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Metadata

Authors
Sander, T., Freyss, J., von Korff, M., Reich, J. R., & Rufener, C.
Venue
Journal of Chemical Information and Modeling
Published
2009-01-14
Volume
49
Issue
2
Pages
232-246
ISSN
  • 1549-9596 (ISSN-L)
  • 1549-960X
OpenAlex
W2040261924
Cited by
279
References
0
FWCI
5.47
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: OSIRIS, an Entirely in-House Developed Drug Discovery Informatics System. https://app.cochat.ai/papers/10.1021/ci800305f
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Sander, T., Freyss, J., von Korff, M., Reich, J. R., & Rufener, C. (2009). OSIRIS, an Entirely in-House Developed Drug Discovery Informatics System. Journal of Chemical Information and Modeling. https://doi.org/10.1021/ci800305f

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.