Focused On-demand Libraries - Receptor.AI 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.


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


 

Fig. 1. The screening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve 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
Receptor.AI
 
UPACC
P07333

UPID:
CSF1R_HUMAN

ALTERNATIVE NAMES:
CSF-1 receptor; Proto-oncogene c-Fms

ALTERNATIVE UPACC:
P07333; B5A955; D3DQG2; Q6LDW5; Q6LDY4; Q86VW7

BACKGROUND:
The CSF-1 receptor, a tyrosine-protein kinase, is essential for monocyte and macrophage functions, bone resorption, and mammary gland development during pregnancy. It activates signaling pathways including ERK1/2, JNK, and PI3K-AKT, influencing cell migration, invasion, and inflammation.

THERAPEUTIC SIGNIFICANCE:
Understanding the role of Macrophage colony-stimulating factor 1 receptor could open doors to potential therapeutic strategies for combating neurodegenerative diseases and enhancing bone health, given its critical functions in cell regulation and immune response.

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