AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Mediator of RNA polymerase II transcription subunit 4

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.

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 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.

Our top-notch dedicated system is used to design specialised 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

Q9NPJ6

UPID:

MED4_HUMAN

Alternative names:

Activator-recruited cofactor 36 kDa component; Mediator complex subunit 4; TRAP/SMCC/PC2 subunit p36 subunit; Vitamin D3 receptor-interacting protein complex 36 kDa component

Alternative UPACC:

Q9NPJ6; B4DX67; Q53GB4; Q53H68; Q5T912; Q6FHC4; Q6IA79; Q9BS95; Q9NYR5

Background:

Mediator of RNA polymerase II transcription subunit 4, also known as Mediator complex subunit 4, plays a pivotal role in the regulated transcription of nearly all RNA polymerase II-dependent genes. It acts as a bridge, conveying information from gene-specific regulatory proteins to the basal RNA polymerase II transcription machinery, facilitating the assembly of a functional preinitiation complex.

Therapeutic significance:

Understanding the role of Mediator of RNA polymerase II transcription subunit 4 could open doors to potential therapeutic strategies.

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