Focused On-demand Library for tRNA methyltransferase 10 homolog A

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

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.

Our top-notch dedicated system is used to design specialised 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.

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.







Alternative names:

RNA (guanine-9-)-methyltransferase domain-containing protein 2; tRNA (guanine(9)-N(1))-methyltransferase TRMT10A

Alternative UPACC:

Q8TBZ6; B2R8X7; Q9Y2T9


tRNA methyltransferase 10 homolog A (TRMT10A) is a pivotal enzyme in cellular function, catalyzing the methylation of guanine at position 9 in tRNAs. This modification is crucial for the stability and function of tRNA molecules, impacting protein synthesis. TRMT10A is known by alternative names such as RNA (guanine-9-)-methyltransferase domain-containing protein 2.

Therapeutic significance:

TRMT10A's mutation is linked to Microcephaly, short stature, and impaired glucose metabolism 1, a disease marked by severe developmental issues and metabolic dysfunction. Understanding TRMT10A's role could lead to novel therapeutic strategies for managing this condition.

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