AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for RNA-binding motif protein, X chromosome

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.

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.

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.

We employ our advanced, specialised process to create targeted 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.

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

P38159

UPID:

RBMX_HUMAN

Alternative names:

Glycoprotein p43; Heterogeneous nuclear ribonucleoprotein G

Alternative UPACC:

P38159; B4E3U4; D3DWH0; E9PG86; Q5JQ67; Q8N8Y7; Q969R3

Background:

RNA-binding motif protein, X chromosome, known as Glycoprotein p43 or Heterogeneous nuclear ribonucleoprotein G, plays a pivotal role in pre- and post-transcriptional processes. It regulates gene transcription, alternative splicing, and is part of the supraspliceosome complex influencing mRNA splice site selection. This protein is also involved in tumor suppression and cytoplasmic TNFR1 trafficking pathways.

Therapeutic significance:

Linked to Intellectual developmental disorder, X-linked, syndromic 11, characterized by moderate intellectual disability and craniofacial dysmorphism, understanding the role of RNA-binding motif protein, X chromosome could open doors to potential therapeutic strategies.

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