AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Nuclear cap-binding protein subunit 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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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 use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse 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

Q09161

UPID:

NCBP1_HUMAN

Alternative names:

80 kDa nuclear cap-binding protein

Alternative UPACC:

Q09161; B2R718; Q59G76; Q5T1V0; Q5T7X2

Background:

Nuclear cap-binding protein subunit 1, also known as the 80 kDa nuclear cap-binding protein, plays a pivotal role in RNA metabolism. It is a key component of the cap-binding complex (CBC), essential for processes such as pre-mRNA splicing, translation regulation, and mRNA export. The CBC's interaction with various proteins facilitates mRNA export from the nucleus and is crucial for a pioneer round of mRNA translation, which is vital for nonsense-mediated mRNA decay (NMD).

Therapeutic significance:

Understanding the role of Nuclear cap-binding protein subunit 1 could open doors to potential therapeutic strategies.

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