AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for SRSF protein kinase 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner Reaxense.

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.

We utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

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, also known as Serine/arginine-rich protein-specific kinase 1, plays a pivotal role in post-transcriptional gene regulation by phosphorylating splicing factors. This kinase is crucial for the regulation of splicing, influencing the distribution of splicing factors in cells and the reorganization of nuclear speckles. Its activity extends beyond splicing, impacting chromatin organization, cell cycle progression, and even viral replication processes.

Therapeutic significance:

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

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