Focused On-demand Library for ATP-binding cassette sub-family C member 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Canalicular multidrug resistance protein; Canalicular multispecific organic anion transporter 1; Multidrug resistance-associated protein 2

Alternative UPACC:

Q92887; B2RMT8; Q14022; Q5T2B1; Q92500; Q92798; Q99663; Q9UMS2


ATP-binding cassette sub-family C member 2, also known as Canalicular multidrug resistance protein, plays a crucial role in the cellular transport system. It actively transports a wide array of substrates, including drugs, toxicants, and endogenous compounds, across cell membranes by binding and hydrolyzing ATP. This protein is pivotal in the hepatobiliary excretion of bilirubin and other glucuronide conjugates, aiding in bilirubin detoxification and the excretion of sulfated bile salts.

Therapeutic significance:

The protein's involvement in Dubin-Johnson syndrome, an autosomal recessive disorder characterized by conjugated hyperbilirubinemia, highlights its clinical importance. Understanding the role of ATP-binding cassette sub-family C member 2 could open doors to potential therapeutic strategies for treating this syndrome and improving bilirubin detoxification processes.

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