AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Zinc finger protein 474

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 carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q6S9Z5

UPID:

ZN474_HUMAN

Alternative names:

Testis-specific zinc finger protein

Alternative UPACC:

Q6S9Z5; A8K4M0; Q96M07

Background:

Zinc finger protein 474, also known as Testis-specific zinc finger protein, is encoded by the gene symbol Q6S9Z5. This protein belongs to a large family of zinc finger proteins, which are involved in binding to DNA and influencing gene expression. The specific role of Zinc finger protein 474 in cellular processes and its mechanism of action remain to be fully elucidated.

Therapeutic significance:

Understanding the role of Zinc finger protein 474 could open doors to potential therapeutic strategies. Its involvement in gene regulation suggests it may play a crucial role in cellular function and development, making it a target of interest for drug discovery efforts aimed at treating diseases with genetic underpinnings.

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