Focused On-demand Library for Histone-lysine N-methyltransferase KMT5C

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.

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 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 utilise our cutting-edge, exclusive workflow to develop focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

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:

Lysine N-methyltransferase 5C; Lysine-specific methyltransferase 5C; Suppressor of variegation 4-20 homolog 2; [histone H4]-N-methyl-L-lysine20 N-methyltransferase KMT5B; [histone H4]-lysine20 N-methyltransferase KMT5B

Alternative UPACC:

Q86Y97; Q8WZ10; Q9BRZ6


Histone-lysine N-methyltransferase KMT5C, also known as Lysine N-methyltransferase 5C, plays a pivotal role in histone modification, specifically targeting the 'Lys-20' site on histone H4. This enzyme is crucial for the methylation process, converting monomethylated and dimethylated 'Lys-20' to dimethylated and trimethylated forms, respectively. Such modifications are essential for transcription regulation and maintaining genome integrity. KMT5C's activity is not limited to histones but extends to nucleosomes, indicating its broad role in epigenetic transcriptional repression and DNA repair mechanisms.

Therapeutic significance:

Understanding the role of Histone-lysine N-methyltransferase KMT5C could open doors to potential therapeutic strategies.

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