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.


We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Reaxense helps in synthesizing and delivering these compounds.


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.


Our top-notch dedicated system is used to design specialised libraries for enzymes.


 

Fig. 1. The screening 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.


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
P49189

UPID:
AL9A1_HUMAN

ALTERNATIVE NAMES:
Aldehyde dehydrogenase E3 isozyme; Aldehyde dehydrogenase family 9 member A1; Gamma-aminobutyraldehyde dehydrogenase; R-aminobutyraldehyde dehydrogenase

ALTERNATIVE UPACC:
P49189; B2R6X1; B4DXY7; B9EKV4; Q5VV90; Q6LCL1; Q9NZT7

BACKGROUND:
The enzyme 4-trimethylaminobutyraldehyde dehydrogenase, known by various names including Aldehyde dehydrogenase E3 isozyme and Gamma-aminobutyraldehyde dehydrogenase, efficiently converts gamma-trimethylaminobutyraldehyde to gamma-butyrobetaine. Its ability to oxidize aldehydes to acids, albeit with low efficiency, highlights its versatility in biochemical reactions.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of 4-trimethylaminobutyraldehyde dehydrogenase offers a promising avenue for developing novel therapeutic approaches.

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