AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Neurexin-1

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 includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

Our high-tech, dedicated method is applied to construct targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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

Q9ULB1

UPID:

NRX1A_HUMAN

Alternative names:

Neurexin I-alpha; Neurexin-1-alpha

Alternative UPACC:

Q9ULB1; A7KRL9; O60323; Q53TJ9; Q53TQ1; Q5HYI0; Q9C079; Q9C080; Q9C081; Q9H3M2; Q9UDM6

Background:

Neurexin-1, also known as Neurexin I-alpha, plays a pivotal role in synaptic signal transmission, cell-cell interactions, and the regulation of calcium channel activity. Its involvement in the exocytosis of secretory granules and modulation of neurotransmitter release underscores its importance in neural communication and endocrine functions.

Therapeutic significance:

Given its association with Pitt-Hopkins-like syndrome 2 and Schizophrenia 17, Neurexin-1's study is crucial for understanding these neurological disorders. Targeting Neurexin-1 could lead to innovative treatments for these conditions, highlighting the protein's therapeutic potential.

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