AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Homeobox protein SIX1

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.

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 includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

Q15475

UPID:

SIX1_HUMAN

Alternative names:

Sine oculis homeobox homolog 1

Alternative UPACC:

Q15475; Q53Y16; Q96H64

Background:

Homeobox protein SIX1, also known as Sine oculis homeobox homolog 1, plays a pivotal role in cell proliferation, apoptosis, and embryonic development. It is crucial for the development of the kidney, muscle, and inner ear, functioning as a transcriptional repressor or activator depending on the context. SIX1 requires interaction with EYA family members for transcription activation and is involved in the regulation of genes such as MYC, CCND1, and EZR.

Therapeutic significance:

SIX1's involvement in diseases like Deafness, autosomal dominant, 23, and Branchiootic syndrome 3, highlights its potential as a target for therapeutic intervention. Understanding the role of Homeobox protein SIX1 could open doors to potential therapeutic strategies.

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