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Clearance prediction for Amgen molecules against Extended Clearance Classification System (ECCS) and future
Prashant Agarwal1, Kazuya Ishida2, Darren L Reid1
1Drug Product Technologies, Process Development, Amgen, Inc., 360 Binney St, Cambridge, MA 02142 USA.
Abstract:
Early prediction of elimination pathways for new chemical entities can have a profound impact on drug discovery programs. The recently proposed Extended Clearance Classification System (ECCS) is a step in the right direction, providing a framework to help identify the major elimination pathway of a drug. A list of 42 Amgen small molecules was evaluated against the ECCS framework to assess its performance in retrospectively predicting their major elimination pathway. Here, we present a critical analysis of the chemical space defined by the ECCS framework with the aim of identifying its applicability and constraints. This evaluation highlights the critical need for periodic review and revision of ECCS, given that target constraints are moving molecules away from the traditional 'drug-like' physicochemical space.
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