Focused On-demand Library for Lysine-specific histone demethylase 1A

Focused On-demand Libraries - Receptor.AI 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.


The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by 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.


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


 

Fig. 1. The screening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize 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
Receptor.AI
 
UPACC
O60341

UPID:
KDM1A_HUMAN

ALTERNATIVE NAMES:
BRAF35-HDAC complex protein BHC110; Flavin-containing amine oxidase domain-containing protein 2; [histone H3]-dimethyl-L-lysine(4) FAD-dependent demethylase 1A

ALTERNATIVE UPACC:
O60341; A8MWP9; Q5TH94; Q5TH95; Q86VT7; Q8IXK4; Q8NDP6; Q8TAZ3; Q96AW4

BACKGROUND:
The enzyme KDM1A, also known as Lysine-specific histone demethylase 1A, is integral to epigenetic mechanisms, modulating transcription through histone H3 lysine demethylation. It functions as both a coactivator and corepressor, depending on the cellular context, and is involved in critical developmental pathways and gene expression regulation.

THERAPEUTIC SIGNIFICANCE:
Given its involvement in a specific syndrome with cleft palate and psychomotor retardation, targeting KDM1A offers a promising avenue for therapeutic intervention. The enzyme's role in disease underscores the importance of further research into its functions and regulatory mechanisms.

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