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

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.

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.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive 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.







Alternative names:

Guanine nucleotide exchange factor H1; Microtubule-regulated Rho-GEF; Proliferating cell nucleolar antigen p40

Alternative UPACC:

Q92974; D3DVA6; O75142; Q15079; Q5VY92; Q8TDA3; Q8WUG4; Q9H023


Rho guanine nucleotide exchange factor 2 (RhoGEF2) is a pivotal protein involved in various cellular processes, including cell motility, polarization, and immune response. It activates Rho-GTPases, influencing cell cycle regulation and cancer progression. Notably, RhoGEF2 has a unique role in neuronal progenitor cell division and differentiation, highlighting its importance in neurodevelopment.

Therapeutic significance:

The association of RhoGEF2 with neurodevelopmental disorder with midbrain and hindbrain malformations underscores its therapeutic potential. Understanding the role of RhoGEF2 could open doors to potential therapeutic strategies for treating this genetic disorder, offering hope for advancements in neurodevelopmental disease management.

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