AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Mediator of RNA polymerase II transcription subunit 21

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.

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.

The library features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast 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

Q13503

UPID:

MED21_HUMAN

Alternative names:

Mediator complex subunit 21; RNA polymerase II holoenzyme component SRB7

Alternative UPACC:

Q13503; B2R4I3; Q6IB05; Q92811

Background:

Mediator of RNA polymerase II transcription subunit 21, also known as Mediator complex subunit 21 and RNA polymerase II holoenzyme component SRB7, plays a pivotal role in the transcription of RNA polymerase II-dependent genes. It acts as a coactivator, facilitating the transfer of information from gene-specific regulatory proteins to the basal RNA polymerase II transcription machinery. By serving as a scaffold, it enables the assembly of a functional preinitiation complex.

Therapeutic significance:

Understanding the role of Mediator of RNA polymerase II transcription subunit 21 could open doors to potential therapeutic strategies.

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