Focused On-demand Library for Deoxynucleoside triphosphate triphosphohydrolase SAMHD1

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.

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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:

Dendritic cell-derived IFNG-induced protein; Monocyte protein 5; SAM domain and HD domain-containing protein 1

Alternative UPACC:

Q9Y3Z3; B4E2A5; E1P5V2; Q5JXG8; Q8N491; Q9H004; Q9H005; Q9H3U9


Deoxynucleoside triphosphate triphosphohydrolase SAMHD1, also known as Dendritic cell-derived IFNG-induced protein, plays a crucial role in cellular defense against viral infections and in DNA repair mechanisms. It exhibits dNTPase activity, crucial for limiting viral replication by reducing cellular dNTP levels, and aids in the regulation of DNA precursor pools.

Therapeutic significance:

SAMHD1's involvement in Aicardi-Goutieres syndrome 5 and Chilblain lupus 2, through gene variants, highlights its potential as a target for therapeutic intervention. Understanding SAMHD1's functions could pave the way for novel treatments for these conditions.

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