AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Proto-oncogene Wnt-1

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 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 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.

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

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

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

P04628

UPID:

WNT1_HUMAN

Alternative names:

Proto-oncogene Int-1 homolog

Alternative UPACC:

P04628; Q5U0N2

Background:

The Proto-oncogene Wnt-1, also known as Int-1 homolog, plays a pivotal role in the canonical Wnt signaling pathway, promoting beta-catenin-dependent transcriptional activation. This protein is crucial in embryonic brain development and central nervous system (CNS) formation, as well as in osteoblast function, bone development, and homeostasis.

Therapeutic significance:

Wnt-1's involvement in diseases such as Osteoporosis and Osteogenesis imperfecta 15 highlights its potential as a target for therapeutic strategies. Its role in bone mass regulation and skeletal disorders opens avenues for developing treatments aimed at bone health and strength.

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