AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Serine/Arginine-related protein 53

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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 effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q96IZ7

UPID:

RSRC1_HUMAN

Alternative names:

Arginine/serine-rich coiled-coil protein 1

Alternative UPACC:

Q96IZ7; A8K2R9; Q96QK2; Q9NZE5

Background:

Serine/Arginine-related protein 53, also known as Arginine/serine-rich coiled-coil protein 1, plays a crucial role in alternative splicing and transcription regulation. It is involved in both constitutive and alternative pre-mRNA splicing and may assist in recognizing the 3' splice site during the second step of splicing.

Therapeutic significance:

This protein is linked to Intellectual developmental disorder, autosomal recessive 70, characterized by impaired intellectual development and behavioral abnormalities. Understanding the role of Serine/Arginine-related protein 53 could open doors to potential therapeutic strategies for this disorder.

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