Focused On-demand Library for Arf-GAP with GTPase, ANK repeat and PH domain-containing protein 2

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.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of biological functions.

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.







Alternative names:

Centaurin-gamma-1; GTP-binding and GTPase-activating protein 2; Phosphatidylinositol 3-kinase enhancer

Alternative UPACC:

Q99490; A8K9F7; O00578; Q548E0; Q8IWU3


Arf-GAP with GTPase, ANK repeat and PH domain-containing protein 2, also known as Centaurin-gamma-1, plays a pivotal role in cellular processes. It acts as a GTPase-activating protein for ARF1 and ARF5, enhancing PI3 kinase activity, which is crucial in preventing neuronal apoptosis. This protein is involved in the coupling of metabotropic glutamate receptor 1 to PI3 kinase and mediates anti-apoptotic effects of NGF by activating nuclear PI3 kinase. Its isoform 2 is known for protecting cells from apoptosis by stimulating Akt and regulating protein trafficking in the endosomal system.

Therapeutic significance:

Understanding the role of Arf-GAP with GTPase, ANK repeat and PH domain-containing protein 2 could open doors to potential therapeutic strategies.

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