Focused On-demand Library for Adhesion G protein-coupled receptor L1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher activity, selectivity, and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

The library includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Calcium-independent alpha-latrotoxin receptor 1; Latrophilin-1; Lectomedin-2

Alternative UPACC:

O94910; Q96IE7; Q9BU07; Q9HAR3


Adhesion G protein-coupled receptor L1, also known as Calcium-independent alpha-latrotoxin receptor 1, Latrophilin-1, and Lectomedin-2, plays a pivotal role in neurobiology. It serves as a high-affinity receptor for alpha-latrotoxin, a potent neurotoxin from black widow spider venom, triggering extensive exocytosis in neurons and neuroendocrine cells. Additionally, it acts as a receptor for TENM2, facilitating synaptic cell-cell contact and postsynaptic specialization, crucial for the regulation of exocytosis.

Therapeutic significance:

The protein's involvement in developmental delay, behavioral abnormalities, and neuropsychiatric disorders highlights its potential as a therapeutic target. Understanding the role of Adhesion G protein-coupled receptor L1 could open doors to novel strategies for treating these complex conditions.

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