AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for E3 ubiquitin-protein ligase MARCHF3

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

Our top-notch dedicated system is used to design specialised 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 stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q86UD3

UPID:

MARH3_HUMAN

Alternative names:

Membrane-associated RING finger protein 3; Membrane-associated RING-CH protein III; RING finger protein 173; RING-type E3 ubiquitin transferase MARCHF3

Alternative UPACC:

Q86UD3; A8K264; B9EJE7

Background:

E3 ubiquitin-protein ligase MARCHF3, also known as Membrane-associated RING finger protein 3, plays a crucial role in endosomal trafficking. This protein, identified by the unique identifier Q86UD3, functions by accepting ubiquitin from an E2 ubiquitin-conjugating enzyme and transferring it directly to targeted substrates. Its alternative names include Membrane-associated RING-CH protein III, RING finger protein 173, and RING-type E3 ubiquitin transferase MARCHF3.

Therapeutic significance:

Understanding the role of E3 ubiquitin-protein ligase MARCHF3 could open doors to potential therapeutic strategies.

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