AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Coagulation factor XII

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

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

P00748

UPID:

FA12_HUMAN

Alternative names:

Hageman factor

Alternative UPACC:

P00748; P78339

Background:

Coagulation factor XII, also known as Hageman factor, is a crucial serum glycoprotein in blood coagulation, fibrinolysis, and the generation of bradykinin and angiotensin. It initiates the coagulation cascade by cleaving prekallikrein to kallikrein, which further processes factor XII into its active forms, alpha-factor XIIa and beta-factor XIIa, thereby activating factor XI.

Therapeutic significance:

Factor XII deficiency, an asymptomatic anomaly affecting blood coagulation, and Hereditary angioedema type 3, a condition exacerbated by estrogen, are directly linked to mutations in the factor XII gene. Understanding the role of Coagulation factor XII could open doors to potential therapeutic strategies for these conditions.

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