AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Serine/threonine-protein kinase SIK1

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 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 promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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

P57059

UPID:

SIK1_HUMAN

Alternative names:

Salt-inducible kinase 1; Serine/threonine-protein kinase SNF1-like kinase 1

Alternative UPACC:

P57059; A6NC84; Q5R2V5; Q6ZNL8; Q86YJ2

Background:

Serine/threonine-protein kinase SIK1, also known as Salt-inducible kinase 1, plays a pivotal role in cell cycle regulation, gluconeogenesis, lipogenesis, muscle growth, and tumor suppression. It phosphorylates a range of substrates including HDAC4, HDAC5, and SREBF1, influencing CREB activity and sodium-sensing signaling pathways. Its involvement in cardiomyogenesis and hepatic metabolism underscores its regulatory significance in cellular processes.

Therapeutic significance:

SIK1's link to Developmental and epileptic encephalopathy 30, a severe early-onset epilepsy, highlights its potential as a therapeutic target. Understanding SIK1's role could pave the way for innovative treatments for this and possibly other neurodevelopmental disorders.

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