AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Interleukin-7

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher activity, selectivity, and safety.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse 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

P13232

UPID:

IL7_HUMAN

Alternative names:

-

Alternative UPACC:

P13232; A0N0L3; Q5FBY5; Q5FBY9

Background:

Interleukin-7, identified by the accession number P13232, is a pivotal hematopoietic cytokine. It orchestrates the development, expansion, and survival of naive and memory T-cells and B-cells, ensuring a balanced lymphocyte population and maintaining lymphoid homeostasis. Its action is mediated through the IL7RA subunit and CSF2RG, activating kinases like JAK1 or JAK3 and signaling pathways such as PI3K/Akt/mTOR and JAK-STAT5.

Therapeutic significance:

Interleukin-7's role in Epidermodysplasia verruciformis 5, a condition marked by a heightened risk of skin carcinoma due to abnormal susceptibility to specific human papillomaviruses, underscores its therapeutic potential. Targeting the pathways influenced by Interleukin-7 could lead to innovative treatments for this and related immune disorders.

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.