AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Interleukin-34

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 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.

 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

Q6ZMJ4

UPID:

IL34_HUMAN

Alternative names:

-

Alternative UPACC:

Q6ZMJ4; B2RC28; B2Z4A8; B2ZC70; Q8N6L2

Background:

Interleukin-34 (IL-34) is a pivotal cytokine that orchestrates the proliferation, survival, and differentiation of monocytes and macrophages. It is instrumental in the release of pro-inflammatory chemokines, playing a crucial role in innate immunity and inflammatory processes. Furthermore, IL-34 is vital in regulating osteoclast proliferation and differentiation, as well as bone resorption, through signaling via CSF1R and subsequent phosphorylation of MAPK1/ERK2 and MAPK3/ERK1.

Therapeutic significance:

Understanding the role of Interleukin-34 could open doors to potential therapeutic strategies, especially in the context of inflammatory diseases and disorders related to bone resorption.

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