AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Keratin, type I cytoskeletal 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.

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 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 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

P13645

UPID:

K1C10_HUMAN

Alternative names:

Cytokeratin-10; Keratin-10

Alternative UPACC:

P13645; Q14664; Q8N175

Background:

Keratin, type I cytoskeletal 10, also known as Cytokeratin-10 or Keratin-10, plays a crucial role in the establishment and maintenance of the epidermal barrier, particularly in plantar skin. It is involved in cell layer development and the formation of keratin filament bundles in epithelial cells, ensuring the integrity of the skin's protective layer.

Therapeutic significance:

Keratin-10's involvement in various skin disorders, including Epidermolytic hyperkeratosis, Ichthyosis with confetti, and Ichthyosis histrix, Lambert type, underscores its potential as a target for therapeutic intervention. Understanding the role of Keratin-10 could open doors to potential therapeutic strategies for these debilitating conditions.

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