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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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 stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

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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