AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Keratin, type II cytoskeletal 2 epidermal

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

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.

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.

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

P35908

UPID:

K22E_HUMAN

Alternative names:

Cytokeratin-2e; Epithelial keratin-2e; Keratin-2 epidermis; Keratin-2e; Type-II keratin Kb2

Alternative UPACC:

P35908; Q4VAQ2

Background:

Keratin, type II cytoskeletal 2 epidermal, known by alternative names such as Cytokeratin-2e and Keratin-2e, plays a crucial role in skin health. It is pivotal in terminal cornification, keratinocyte activation, proliferation, and keratinization. This protein is essential for maintaining corneocytes and keratin filaments in suprabasal keratinocytes, contributing significantly to the epidermal barrier's integrity, especially on plantar skin.

Therapeutic significance:

The protein's mutation is linked to Ichthyosis bullosa of Siemens, a rare skin disorder characterized by erythema, blistering, and hyperkeratosis. Understanding the role of Keratin, type II cytoskeletal 2 epidermal, could open doors to potential therapeutic strategies for this condition, highlighting its importance in dermatological research and treatment development.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.