Focused On-demand Library for Leucine-rich repeat-containing protein 4

Focused On-demand Libraries - Reaxense 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 pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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 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 is unique due to several crucial aspects:

Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q9HBW1

UPID:

LRRC4_HUMAN

Alternative names:

Brain tumor-associated protein BAG; Nasopharyngeal carcinoma-associated gene 14 protein; Netrin-G2 ligand

Alternative UPACC:

Q9HBW1; A4D0Y9; Q14DU9; Q6ZMI8; Q96A85

Background:

Leucine-rich repeat-containing protein 4, also known as Brain tumor-associated protein BAG, Nasopharyngeal carcinoma-associated gene 14 protein, and Netrin-G2 ligand, plays a pivotal role in synaptic adhesion and the formation of excitatory synapses. It is instrumental in organizing dendrite differentiation and is crucial for auditory synaptic responses. Its involvement in glioma suppression highlights its significance in neural function and disease.

Therapeutic significance:

Understanding the role of Leucine-rich repeat-containing protein 4 could open doors to potential therapeutic strategies.