AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for High affinity immunoglobulin epsilon receptor subunit alpha

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.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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 high-tech, dedicated method is applied to construct 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.

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

P12319

UPID:

FCERA_HUMAN

Alternative names:

Fc-epsilon RI-alpha; IgE Fc receptor subunit alpha

Alternative UPACC:

P12319

Background:

The High affinity immunoglobulin epsilon receptor subunit alpha, also known as Fc-epsilon RI-alpha or IgE Fc receptor subunit alpha, plays a pivotal role in immune response. It acts as a high-affinity receptor for IgE, mediating effector functions in myeloid cells. This receptor's activation on mast cells, basophils, and eosinophils leads to the release of inflammatory mediators, contributing to tissue remodeling, cytotoxicity against microbes, and immediate hypersensitivity to allergens.

Therapeutic significance:

Understanding the role of High affinity immunoglobulin epsilon receptor subunit alpha could open doors to potential therapeutic strategies. Its central role in allergic reactions and immune defense mechanisms against pathogens highlights its potential as a target for treating allergic conditions and enhancing immune responses.

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