Focused On-demand Library for SRSF protein kinase 1

Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.


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


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 for enzymes.


 

Fig. 1. The screening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage activity and selectivity.


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
Receptor.AI
 
UPACC
Q96SB4

UPID:
SRPK1_HUMAN

ALTERNATIVE NAMES:
SFRS protein kinase 1; Serine/arginine-rich protein-specific kinase 1

ALTERNATIVE UPACC:
Q96SB4; B4DS61; Q12890; Q5R364; Q5R365; Q8IY12

BACKGROUND:
SRSF protein kinase 1, identified by its alternative names SFRS protein kinase 1 and Serine/arginine-rich protein-specific kinase 1, is integral to the phosphorylation of SR splicing factors, thereby regulating mRNA splicing. It orchestrates the intranuclear dynamics of splicing factors and mitotic nuclear speckle reorganization. Beyond splicing, it affects chromatin structure in somatic and sperm cells, cell cycle progression, and has a role in hepatitis B virus replication dynamics.

THERAPEUTIC SIGNIFICANCE:
Understanding the role of SRSF protein kinase 1 could open doors to potential therapeutic strategies.

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