AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Low-density lipoprotein receptor-related protein 8

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 our partner Reaxense.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse 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

Q14114

UPID:

LRP8_HUMAN

Alternative names:

Apolipoprotein E receptor 2

Alternative UPACC:

Q14114; B1AMT6; B1AMT7; B1AMT8; O14968; Q86V27; Q99876; Q9BR78

Background:

Low-density lipoprotein receptor-related protein 8 (LRP8), also known as Apolipoprotein E receptor 2, plays a pivotal role in neuronal layering of the forebrain during embryonic brain development. It acts as a cell surface receptor for Reelin and apolipoprotein E-containing ligands, facilitating the Reelin pathway's influence on DAB1 tyrosine phosphorylation and microtubule function in neurons. Additionally, LRP8 is involved in the suppression of platelet aggregation and sperm maturation.

Therapeutic significance:

LRP8's involvement in myocardial infarction 1, due to gene variants affecting its function, highlights its potential as a target for therapeutic intervention. Understanding the role of LRP8 could open doors to potential therapeutic strategies.

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