AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Transcription factor SOX-5

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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.

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 use our state-of-the-art dedicated workflow for designing focused 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 distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P35711

UPID:

SOX5_HUMAN

Alternative names:

-

Alternative UPACC:

P35711; B7Z8V0; F5H5B0; Q86UK8; Q8J017; Q8J018; Q8J019; Q8J020; Q8N1D9; Q8N7E0; Q8TEA4

Background:

Transcription factor SOX-5 plays a pivotal role in chondrocytes differentiation and cartilage formation. It binds specific DNA motifs to promote expression of genes crucial for chondrogenesis, such as COL2A1 and AGC1. SOX-5, along with SOX6, enhances SOX9's transcriptional activity on cartilage-specific genes, facilitating the transition from prechondrocytes to early stage chondrocytes. It is essential for maintaining a proliferative chondroblast pool and regulating chondrocyte maturation.

Therapeutic significance:

SOX-5's involvement in Lamb-Shaffer syndrome, a neurodevelopmental disorder with skeletal abnormalities, underscores its therapeutic potential. Understanding SOX-5's role could lead to targeted therapies for this syndrome and other cartilage-related conditions.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.