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R-group replacement database for medicinal chemistry
Kosuke Takeuchi1, Ryo Kunimoto1, Jürgen Bajorath1
1Department of Life Science Informatics, B-IT, LIMES Program Unit Chemical Biology & Medicinal Chemistry, Rheinische Friedrich-Wilhelms-Universität, Friedrich-Hirzebruch-Allee 6, Bonn, D-53113, Germany.
Aim:
Generation of an R-group replacement system for compound optimization in medicinal chemistry.
Materials & Methods:
From bioactive compounds, analogue series (ASs) were systematically extracted and from these ASs, all R-groups were isolated and further analyzed.
Exemplary Results & Data:
From more than 17,000 ASs, more than 50,000 unique R-groups were isolated. For the 500 most frequently used R-groups, preferred replacements were identified and organized in hierarchies. All original data and an R-group replacement database are made available in an open access deposition.
Limitations & Next Steps:
The searchable database has no limitations and can easily be modified using the source data we provide. The next step will be applying this R-group resource in practical medicinal chemistry projects as decision support.
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