AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for ATP-binding cassette sub-family F member 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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 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.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q8NE71

UPID:

ABCF1_HUMAN

Alternative names:

ATP-binding cassette 50; TNF-alpha-stimulated ABC protein

Alternative UPACC:

Q8NE71; A2BF75; O14897; Q69YP6

Background:

ATP-binding cassette sub-family F member 1, also known as ATP-binding cassette 50 and TNF-alpha-stimulated ABC protein, plays a crucial role in mRNA translation initiation. Specifically, Isoform 2 of this protein is essential for efficient Cap- and IRES-mediated mRNA translation initiation, although it does not participate in ribosome biogenesis.

Therapeutic significance:

Understanding the role of ATP-binding cassette sub-family F member 1 could open doors to potential therapeutic strategies. Its involvement in mRNA translation initiation suggests its potential impact on protein synthesis, offering a promising avenue for research into diseases where protein synthesis regulation is disrupted.

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