Focused On-demand Library for RNA-binding protein 8A

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 carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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 high-tech, dedicated method is applied to construct targeted 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 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.







Alternative names:

Binder of OVCA1-1; RNA-binding motif protein 8A; RNA-binding protein Y14; Ribonucleoprotein RBM8A

Alternative UPACC:

Q9Y5S9; B3KQI9; Q6FHD1; Q6IQ40; Q9GZX8; Q9NZI4


RNA-binding protein 8A, also known as RNA-binding motif protein 8A, RNA-binding protein Y14, and Ribonucleoprotein RBM8A, plays a crucial role in pre-mRNA splicing as part of the spliceosome. It is a core component of the exon junction complex (EJC), marking the position of exon-exon junctions in mature mRNA, thereby influencing mRNA metabolism, including export, localization, translation efficiency, and decay.

Therapeutic significance:

The involvement of RNA-binding protein 8A in Thrombocytopenia-absent radius syndrome, a disorder characterized by skeletal anomalies and thrombocytopenia, underscores its potential as a target for therapeutic intervention. Understanding the role of RNA-binding protein 8A could open doors to potential therapeutic strategies.

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