AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for tRNA pseudouridine synthase-like 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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.

Our high-tech, dedicated method is applied to construct targeted 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

Q8N0Z8

UPID:

PUSL1_HUMAN

Alternative names:

tRNA pseudouridylate synthase-like 1; tRNA-uridine isomerase-like 1

Alternative UPACC:

Q8N0Z8; B4DP76; Q5TA41

Background:

tRNA pseudouridine synthase-like 1, also known as tRNA pseudouridylate synthase-like 1 or tRNA-uridine isomerase-like 1, plays a crucial role in the modification of RNA. This enzyme is involved in the synthesis of pseudouridine from uridine, a modification that contributes to the stability and function of tRNA molecules.

Therapeutic significance:

Understanding the role of tRNA pseudouridine synthase-like 1 could open doors to potential therapeutic strategies. Its involvement in RNA modification processes makes it a key player in cellular function and offers a unique target for drug discovery efforts aimed at treating diseases linked to RNA stability and function.

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