Focused On-demand Library for Rap guanine nucleotide exchange factor 2

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

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

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:

Cyclic nucleotide ras GEF; Neural RAP guanine nucleotide exchange protein; PDZ domain-containing guanine nucleotide exchange factor 1; RA-GEF-1; Ras/Rap1-associating GEF-1

Alternative UPACC:

Q9Y4G8; D3DP27


Rap guanine nucleotide exchange factor 2 (RapGEF2) is a pivotal mediator in cellular signaling, known for its role as a guanine nucleotide exchange factor. It activates Rap and Ras GTPases, linking cell surface receptors to intracellular signaling cascades. RapGEF2 is involved in various cellular processes, including neuron migration, blood vessel formation, and melanogenesis, through its interaction with cAMP and direct association with Rap1-GTP.

Therapeutic significance:

RapGEF2's involvement in familial adult myoclonic epilepsy 7 (FAME7) highlights its potential as a therapeutic target. Understanding the role of RapGEF2 could open doors to potential therapeutic strategies for treating neurological disorders and improving cognitive functions.

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