Focused On-demand Library for RNA polymerase II subunit A C-terminal domain phosphatase

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.

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 employ our advanced, specialised process to create targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost 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.







Alternative names:

TFIIF-associating CTD phosphatase

Alternative UPACC:

Q9Y5B0; A8MY97; Q7Z644; Q96BZ1; Q9Y6F5


The RNA polymerase II subunit A C-terminal domain phosphatase, also known as TFIIF-associating CTD phosphatase, plays a pivotal role in gene expression. It processively dephosphorylates 'Ser-2' and 'Ser-5' in the C-terminal domain of RNA polymerase II, enhancing its activity. This protein is also crucial for the exit from mitosis, targeting key mitotic substrates for dephosphorylation.

Therapeutic significance:

Given its involvement in Congenital cataracts, facial dysmorphism, and neuropathy, understanding the role of RNA polymerase II subunit A C-terminal domain phosphatase could open doors to potential therapeutic strategies. Its function in gene expression and cell cycle regulation makes it a promising target for addressing the complex clinical phenotype of this disorder.

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