AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Mediator of RNA polymerase II transcription subunit 13

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.

Our top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q9UHV7

UPID:

MED13_HUMAN

Alternative names:

Activator-recruited cofactor 250 kDa component; Mediator complex subunit 13; Thyroid hormone receptor-associated protein 1; Thyroid hormone receptor-associated protein complex 240 kDa component; Vitamin D3 receptor-interacting protein complex component DRIP250

Alternative UPACC:

Q9UHV7; B2RU05; O60334

Background:

Mediator of RNA polymerase II transcription subunit 13, also known as Mediator complex subunit 13, 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:

The protein is implicated in Intellectual developmental disorder, autosomal dominant 61, characterized by developmental delays, behavioral abnormalities, and variable dysmorphic features. Understanding the role of Mediator of RNA polymerase II transcription subunit 13 could open doors to potential therapeutic strategies for this disorder.

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