AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Cleavage stimulation factor subunit 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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.

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 utilise our cutting-edge, exclusive workflow to develop 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 stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q05048

UPID:

CSTF1_HUMAN

Alternative names:

CF-1 50 kDa subunit; Cleavage stimulation factor 50 kDa subunit

Alternative UPACC:

Q05048; Q5QPD8

Background:

Cleavage stimulation factor subunit 1, also known as CF-1 50 kDa subunit or Cleavage stimulation factor 50 kDa subunit, plays a pivotal role in the polyadenylation and 3'-end cleavage of mammalian pre-mRNAs. This protein is essential for the formation of a stable complex on the pre-mRNA, facilitating the interaction of CSTF with other crucial factors in the mRNA processing pathway.

Therapeutic significance:

Understanding the role of Cleavage stimulation factor subunit 1 could open doors to potential therapeutic strategies. Its critical function in mRNA processing highlights its potential as a target for interventions in diseases where mRNA processing is disrupted.

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