AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Rac GTPase-activating protein 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of 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

Q9H0H5

UPID:

RGAP1_HUMAN

Alternative names:

Male germ cell RacGap; Protein CYK4 homolog

Alternative UPACC:

Q9H0H5; Q6PJ26; Q9NWN2; Q9P250; Q9P2W2

Background:

Rac GTPase-activating protein 1, also known as Male germ cell RacGap and Protein CYK4 homolog, plays a pivotal role in cell cycle cytokinesis, erythropoiesis, and the regulation of cell growth and differentiation. It is a key component of the centralspindlin complex, essential for myosin contractile ring formation and proper attachment of the midbody during cytokinesis. Its GAP activity towards CDC42 and RAC1, and to a lesser extent RHOA, underscores its significance in various cellular processes.

Therapeutic significance:

The involvement of Rac GTPase-activating protein 1 in congenital dyserythropoietic anemia, 3B, autosomal recessive, highlights its therapeutic potential. Understanding the role of this protein could open doors to novel therapeutic strategies targeting blood disorders and possibly other conditions related to its function in cell division and differentiation.

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