Focused On-demand Library for Intelectin-1

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.

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 employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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:

Endothelial lectin HL-1; Galactofuranose-binding lectin; Intestinal lactoferrin receptor; Omentin

Alternative UPACC:

Q8WWA0; Q5IWS4; Q5VYI4; Q6YDJ3; Q9NP67


Intelectin-1, known for its alternative names such as Endothelial lectin HL-1 and Omentin, is a lectin that specifically recognizes microbial carbohydrate chains in a calcium-dependent manner. It binds to microbial glycans from both Gram-positive and Gram-negative bacteria, playing a crucial role in the body's defense system against microorganisms. Additionally, it functions as an adipokine enhancing insulin-stimulated glucose uptake in adipocytes and may facilitate iron absorption by interacting with lactoferrin.

Therapeutic significance:

Understanding the role of Intelectin-1 could open doors to potential therapeutic strategies, particularly in enhancing the body's antimicrobial defense mechanisms and improving metabolic health.

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