AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Vesicle-associated membrane protein 2

Available from Reaxense
Predicted by Alphafold

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.

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 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.

Our top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide 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

P63027

UPID:

VAMP2_HUMAN

Alternative names:

Synaptobrevin-2

Alternative UPACC:

P63027; P19065; Q9BUC2

Background:

Vesicle-associated membrane protein 2 (VAMP2), also known as Synaptobrevin-2, plays a pivotal role in the nervous system. It is crucial for the targeting and fusion of transport vesicles to their target membrane, facilitating the release of neurotransmitters through synaptic vesicles. This process is essential for rapid neurotransmitter release and synaptic vesicle reuse, underscored by its modulation of the KCNB1 potassium channel.

Therapeutic significance:

VAMP2 is linked to a neurodevelopmental disorder characterized by hypotonia, developmental delay, intellectual disability, seizures, and autistic features, sometimes accompanied by hyperkinetic movements. Understanding the role of VAMP2 could open doors to potential therapeutic strategies for this disorder.

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