AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Lymphocyte antigen 86

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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 our partner Reaxense.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of biological functions.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

O95711

UPID:

LY86_HUMAN

Alternative names:

Protein MD-1

Alternative UPACC:

O95711; Q9UQC4

Background:

Lymphocyte antigen 86, also known as Protein MD-1, plays a crucial role in the innate immune response. It is believed to work in conjunction with CD180 and TLR4 to mediate the body's defense against bacterial lipopolysaccharide (LPS), a key component of the outer membrane of Gram-negative bacteria. This protein is also vital for the proper cell surface expression of CD180, enhancing the immune system's ability to respond to pathogens.

Therapeutic significance:

Understanding the role of Lymphocyte antigen 86 could open doors to potential therapeutic strategies. Its involvement in the innate immune response and cytokine production positions it as a key player in controlling inflammation and bacterial infections. Targeting this protein could lead to innovative treatments for diseases where the immune response is compromised or overly active.

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