AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Aquaporin-7

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

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of biological functions.

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

O14520

UPID:

AQP7_HUMAN

Alternative names:

Aquaglyceroporin-7; Aquaporin adipose; Aquaporin-7-like

Alternative UPACC:

O14520; Q08E94; Q5T5L9; Q8NHM3

Background:

Aquaporin-7, also known as Aquaglyceroporin-7, Aquaporin adipose, and Aquaporin-7-like, is a pivotal protein that forms channels across cell membranes, facilitating the transport of water, glycerol, and urea at neutral pH. This protein is integral to the body's energy homeostasis, especially during lipid catabolism, by mediating glycerol export from adipocytes and supporting gluconeogenesis in the liver to maintain blood glucose levels.

Therapeutic significance:

Understanding the role of Aquaporin-7 could open doors to potential therapeutic strategies, particularly in managing conditions related to energy metabolism and glycerol transport.

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