AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Signal transducer and activator of transcription 2

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.

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.

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

P52630

UPID:

STAT2_HUMAN

Alternative names:

p113

Alternative UPACC:

P52630; B4DLC7; G3V2M6; Q16430; Q16431; Q9UDL4

Background:

Signal transducer and activator of transcription 2 (STAT2), also known as p113, plays a pivotal role in immune response. It mediates signaling by type I interferons, activating antiviral states in cells. STAT2 functions by forming the ISGF3 complex, entering the nucleus to stimulate gene transcription. It also regulates mitochondrial fission, influencing cellular energy dynamics.

Therapeutic significance:

STAT2's involvement in Immunodeficiency 44 and Pseudo-TORCH syndrome 3, diseases characterized by heightened viral susceptibility and severe developmental issues, underscores its therapeutic potential. Targeting STAT2 pathways could lead to innovative treatments for these genetic disorders, offering hope for affected individuals.

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