AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Double homeobox protein 4

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 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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q9UBX2

UPID:

DUX4_HUMAN

Alternative names:

Double homeobox protein 10

Alternative UPACC:

Q9UBX2; E2JJS1

Background:

Double homeobox protein 4 (DUX4) functions as a transcription factor, crucial during early embryogenesis. It binds to specific DNA elements, regulating gene expression by promoting or inhibiting histone acetylation. DUX4's role extends to activating essential proteins like ZSCAN4 and KDM4E, and it may also influence microRNA expression. Its involvement in transcriptional regulation underscores its significance in cellular processes.

Therapeutic significance:

DUX4's aberrant expression is linked to Facioscapulohumeral muscular dystrophy 1 (FSHD1), a degenerative muscle disease. The disease mechanism involves the reduction of D4Z4 macrosatellite repeats on chromosome 4q35, leading to DUX4 misexpression. Understanding DUX4's role could pave the way for innovative therapeutic strategies targeting its pathway to mitigate FSHD1 progression.

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