AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for mRNA export factor RAE1

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.

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 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 employ our advanced, specialised process to create targeted 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.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

P78406

UPID:

RAE1L_HUMAN

Alternative names:

Rae1 protein homolog; mRNA-associated protein mrnp 41

Alternative UPACC:

P78406; A8K882; O15306; Q3SYL7; Q5TCH8; Q6V708; Q9H100; Q9NQM6

Background:

The mRNA export factor RAE1, also known as Rae1 protein homolog and mRNA-associated protein mrnp 41, is pivotal in nucleocytoplasmic transport, as evidenced by its role in mRNA export (PubMed:33849972, PubMed:20498086). Additionally, RAE1 contributes to mitotic bipolar spindle formation and may facilitate the attachment of cytoplasmic mRNPs to the cytoskeleton (PubMed:17172455).

Therapeutic significance:

Understanding the role of mRNA export factor RAE1 could open doors to potential therapeutic strategies.

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