C@PA: Computer-Aided Pattern Analysis to Predict Multitarget ABC Transporter Inhibitors

J Med Chem. 2021 Mar 25;64(6):3350-3366. doi: 10.1021/acs.jmedchem.0c02199. Epub 2021 Mar 16.

Abstract

Based on literature reports of the last two decades, a computer-aided pattern analysis (C@PA) was implemented for the discovery of novel multitarget ABCB1 (P-gp), ABCC1 (MRP1), and ABCG2 (BCRP) inhibitors. C@PA included basic scaffold identification, substructure search and statistical distribution, as well as novel scaffold extraction to screen a large virtual compound library. Over 45,000 putative and novel broad-spectrum ABC transporter inhibitors were identified, from which 23 were purchased for biological evaluation. Our investigations revealed five novel lead molecules as triple ABCB1, ABCC1, and ABCG2 inhibitors. C@PA is the very first successful computational approach for the discovery of promiscuous ABC transporter inhibitors.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • ATP Binding Cassette Transporter, Subfamily B, Member 1 / antagonists & inhibitors*
  • ATP Binding Cassette Transporter, Subfamily B, Member 1 / metabolism
  • ATP Binding Cassette Transporter, Subfamily G, Member 2 / antagonists & inhibitors*
  • ATP Binding Cassette Transporter, Subfamily G, Member 2 / metabolism
  • Animals
  • Dogs
  • Drug Design
  • Drug Discovery / methods*
  • Humans
  • Madin Darby Canine Kidney Cells
  • Models, Molecular
  • Multidrug Resistance-Associated Proteins / antagonists & inhibitors*
  • Multidrug Resistance-Associated Proteins / metabolism
  • Pattern Recognition, Automated / methods
  • Small Molecule Libraries / chemistry*
  • Small Molecule Libraries / pharmacology*

Substances

  • ATP Binding Cassette Transporter, Subfamily B, Member 1
  • ATP Binding Cassette Transporter, Subfamily G, Member 2
  • Multidrug Resistance-Associated Proteins
  • Small Molecule Libraries
  • multidrug resistance-associated protein 1