AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for tRNA pseudouridine(38/39) synthase

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.

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 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 employ our advanced, specialised process to create targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q9BZE2

UPID:

PUS3_HUMAN

Alternative names:

tRNA pseudouridine synthase 3; tRNA pseudouridylate synthase 3; tRNA-uridine isomerase 3

Alternative UPACC:

Q9BZE2; B2RAM0; Q96D17; Q96J23; Q96NB4

Background:

The tRNA pseudouridine(38/39) synthase, also known as tRNA pseudouridine synthase 3, plays a crucial role in the modification of RNA by forming pseudouridine at position 39 in the anticodon stem and loop of transfer RNAs. This enzymatic activity is fundamental for the stability and function of tRNA molecules, impacting protein synthesis and cellular function.

Therapeutic significance:

The protein is linked to the Neurodevelopmental disorder with microcephaly and gray sclerae, a condition characterized by developmental delays, seizures, and visual impairments. Understanding the role of tRNA pseudouridine(38/39) synthase could open doors to potential therapeutic strategies for this genetic disorder.

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