AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Dynein axonemal assembly factor 10

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 use our state-of-the-art dedicated workflow for designing 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

Q96MX6

UPID:

DAA10_HUMAN

Alternative names:

WD repeat-containing protein 92; WD repeat-containing protein Monad

Alternative UPACC:

Q96MX6; Q96CR6

Background:

Dynein axonemal assembly factor 10, also known as WD repeat-containing protein 92 or WD repeat-containing protein Monad, plays a crucial role in cellular structure and function. It is a key assembly factor specifically required for the stability of axonemal dynein heavy chains in the cytoplasm, which are essential components of the cytoskeletal motor proteins that drive the beating of cilia and flagella.

Therapeutic significance:

Understanding the role of Dynein axonemal assembly factor 10 could open doors to potential therapeutic strategies. Its critical function in the stability of axonemal dynein heavy chains highlights its importance in cellular motility and structure, suggesting that targeting this protein could lead to novel treatments for diseases related to ciliary dysfunction.

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