Clearance prediction for Amgen molecules against Extended Clearance Classification System (ECCS) and future directions

Drug Discov Today. 2021 Jan;26(1):10-16. doi: 10.1016/j.drudis.2020.10.008. Epub 2020 Oct 17.

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.

MeSH terms

  • Biochemical Phenomena
  • Biological Availability
  • Biometry / methods
  • Drug Development / classification
  • Drug Development / methods
  • Drug Discovery* / methods
  • Drug Discovery* / trends
  • Drug Elimination Routes*
  • Humans
  • Metabolic Clearance Rate
  • Molecular Weight
  • Permeability
  • Pharmacokinetics*
  • Principal Component Analysis