Focused On-demand Library for NMDA receptor synaptonuclear signaling and neuronal migration factor

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

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.

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.







Alternative names:

Nasal embryonic luteinizing hormone-releasing hormone factor

Alternative UPACC:

Q6X4W1; Q2TB96; Q6X4V7; Q6X4V8; Q6X4V9; Q8N2M2; Q96SY1; Q9NPM4; Q9NPP3; Q9NPS3


The NMDA receptor synaptonuclear signaling and neuronal migration factor, also known as Nasal embryonic luteinizing hormone-releasing hormone factor, plays a pivotal role in neural development. It is essential for the signaling of NMDA-sensitive glutamate receptors to the nucleus, influencing the long-lasting changes in dendrites and spine synapse processes. This protein is crucial for the outgrowth of olfactory axons and the migration of gonadotropin-releasing hormone (GnRH) and luteinizing-hormone-releasing hormone (LHRH) neuronal cells.

Therapeutic significance:

Given its involvement in Hypogonadotropic hypogonadism 9 with or without anosmia, a disorder linked to absent or incomplete sexual maturation and low levels of circulating gonadotropins and testosterone, understanding the role of this protein could lead to novel therapeutic strategies for treating this condition and potentially related reproductive and sensory disorders.

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