Focused On-demand Library for Synphilin-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.


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 employ our advanced, specialised process to create targeted libraries for protein-protein interfaces.


 

Fig. 1. The screening workflow of Receptor.AI

The method includes extensive molecular simulations of the target protein alone and in complex with its most relevant partner proteins, followed by ensemble virtual screening that considers conformational mobility in both free and complex states. Potential binding pockets are examined on the protein-protein interaction interface and in distant allosteric sites to cover all possible mechanisms of action.


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
Q9Y6H5

UPID:
SNCAP_HUMAN

ALTERNATIVE NAMES:
Alpha-synuclein-interacting protein

ALTERNATIVE UPACC:
Q9Y6H5; D3DSZ1; Q05BS1; Q1PSC2; Q49AC6; Q504U9; Q6L984; Q6L985; Q6L986; Q9HC59

BACKGROUND:
The protein Synphilin-1, alternatively named Alpha-synuclein-interacting protein, is implicated in the modulation of proteasomal degradation pathways. By inhibiting SIAH1's ubiquitin ligase activity, it plays a pivotal role in cellular protein regulation, affecting the stability and function of various proteins.

THERAPEUTIC SIGNIFICANCE:
Synphilin-1's association with Parkinson disease, a condition marked by neurodegeneration and abnormal protein accumulations, underscores its potential as a therapeutic target. Exploring its functions and interactions could unveil new avenues for treatment, offering hope for advancements in neurodegenerative disease management.

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