Focused On-demand Library for SRSF protein kinase 2

Focused On-demand Libraries - Reaxense 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.

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 features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

Fig. 1. The sreening workflow of Receptor.AI

It includes in-depth molecular simulations of both the catalytic and allosteric binding pockets, with ensemble virtual screening focusing on their conformational flexibility. For modulators, the process includes considering the structural shifts due to reaction intermediates to boost activity and selectivity.

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

P78362

UPID:

SRPK2_HUMAN

Alternative names:

SFRS protein kinase 2; Serine/arginine-rich protein-specific kinase 2

Alternative UPACC:

P78362; A8MVX2; O75220; O75221; Q6NUL0; Q6V1X2; Q8IYQ3

Background:

SRSF protein kinase 2, also known as Serine/arginine-rich protein-specific kinase 2, plays a pivotal role in post-transcriptional modifications through the phosphorylation of serine residues in RS domains. It is crucial for the regulation of splicing by phosphorylating SR splicing factors. Additionally, it influences neuronal apoptosis by modulating cyclin-D1 expression through the phosphorylation of SRSF2, which affects p53/TP53 activity. This kinase also impacts spliceosomal B complex formation and corrects transcription-related R-loops by phosphorylating DDX23.

Therapeutic significance:

Understanding the role of SRSF protein kinase 2 could open doors to potential therapeutic strategies.