AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Melanophilin

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 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 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.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q9BV36

UPID:

MELPH_HUMAN

Alternative names:

Exophilin-3; Slp homolog lacking C2 domains a; Synaptotagmin-like protein 2a

Alternative UPACC:

Q9BV36; B3KSS2; B4DKW7; G5E9G5; Q9HA71

Background:

Melanophilin, also known as Exophilin-3, Slp homolog lacking C2 domains a, and Synaptotagmin-like protein 2a, plays a pivotal role in melanosome transport. It acts as a crucial link between melanosome-bound RAB27A and the motor protein MYO5A, facilitating the movement of melanosomes within cells.

Therapeutic significance:

Melanophilin's dysfunction is directly linked to Griscelli syndrome 3, a rare autosomal recessive disorder characterized by pigmentary dilution of the skin and hair. Understanding the role of Melanophilin could open doors to potential therapeutic strategies for this condition.

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