Focused On-demand Library for Lymphoid-specific helicase

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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 features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

Our high-tech, dedicated method is applied to construct targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage 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:

Proliferation-associated SNF2-like protein; SWI/SNF2-related matrix-associated actin-dependent regulator of chromatin subfamily A member 6

Alternative UPACC:

Q9NRZ9; B2RB41; Q3LID1; Q6I7N7; Q76H76; Q76H77; Q76H78; Q76H79; Q76H80; Q76H81; Q7Z397; Q7Z5X2; Q8N6P4; Q9H4P5


The Lymphoid-specific helicase, also known as Proliferation-associated SNF2-like protein or SWI/SNF2-related matrix-associated actin-dependent regulator of chromatin subfamily A member 6, plays a pivotal role in development and survival. It is crucial for DNA methylation, a process essential for the regulation of gene expression and maintenance of genomic integrity. This protein is also involved in lymphoid cell expansion and may influence heterochromatin formation, impacting transcription and mitosis.

Therapeutic significance:

Given its essential role in DNA methylation and lymphoid cell regulation, the Lymphoid-specific helicase is linked to Immunodeficiency-centromeric instability-facial anomalies syndrome 4, a rare disorder with immunodeficiency and genomic instability. Understanding the role of this protein could open doors to potential therapeutic strategies for this syndrome and related conditions.

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