AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Chromosome transmission fidelity protein 18 homolog

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner 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.

We utilise our cutting-edge, exclusive workflow to develop 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

Q8WVB6

UPID:

CTF18_HUMAN

Alternative names:

CHL12

Alternative UPACC:

Q8WVB6; B7ZBA2; D3DU68; Q7Z6Y4; Q7Z6Y6; Q9BR83; Q9BRG5; Q9H7K3

Background:

Chromosome transmission fidelity protein 18 homolog (CHL12) plays a pivotal role in maintaining chromosome cohesion, ensuring accurate sister chromatid cohesion and chromosome transmission. As a component of the CTF18-RFC complex, it is crucial for the ATP-dependent loading of PCNA onto DNA, facilitating DNA replication and repair. This protein's interaction with DNA polymerase POLH and POLE underscores its significance in DNA repair synthesis.

Therapeutic significance:

Understanding the role of Chromosome transmission fidelity protein 18 homolog could open doors to potential therapeutic strategies.

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