AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Charged multivesicular body protein 2a

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher activity, selectivity, and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

Our top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

O43633

UPID:

CHM2A_HUMAN

Alternative names:

Chromatin-modifying protein 2a; Putative breast adenocarcinoma marker BC-2; Vacuolar protein sorting-associated protein 2-1

Alternative UPACC:

O43633; B2R4W6; Q3ZTT0

Background:

Charged multivesicular body protein 2a (ChMP2a) is a probable core component of the endosomal sorting required for transport complex III (ESCRT-III), crucial in multivesicular bodies (MVBs) formation and sorting of endosomal cargo proteins. MVBs are essential for the degradation of membrane proteins, facilitating cellular homeostasis. ChMP2a, alongside other ESCRT-III proteins, plays a pivotal role in membrane fission events, including cytokinesis and nuclear envelope sealing during late anaphase.

Therapeutic significance:

Understanding the role of Charged multivesicular body protein 2a could open doors to potential therapeutic strategies.

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