AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Regulator of nonsense transcripts 1

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q92900

UPID:

RENT1_HUMAN

Alternative names:

ATP-dependent helicase RENT1; Nonsense mRNA reducing factor 1; Up-frameshift suppressor 1 homolog

Alternative UPACC:

Q92900; O00239; O43343; Q86Z25; Q92842

Background:

Regulator of nonsense transcripts 1 (UPF1) is a pivotal RNA-dependent helicase involved in the nonsense-mediated decay (NMD) pathway, crucial for identifying and degrading mRNAs with premature stop codons. Known also as ATP-dependent helicase RENT1, UPF1 modulates the expression levels of normal mRNAs, ensuring cellular homeostasis. Its activity is regulated through cycles of phosphorylation and dephosphorylation, playing a key role in the surveillance mechanism that distinguishes aberrant mRNAs.

Therapeutic significance:

Understanding the role of Regulator of nonsense transcripts 1 could open doors to potential therapeutic strategies.

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