AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Sorting nexin-18

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q96RF0

UPID:

SNX18_HUMAN

Alternative names:

SH3 and PX domain-containing protein 3B

Alternative UPACC:

Q96RF0; B4E2B3; H7BXX3; Q05BB3; Q0VG02

Background:

Sorting nexin-18, known as SH3 and PX domain-containing protein 3B, plays a crucial role in cellular processes such as endocytosis, vesicle trafficking, and mitosis. It is essential for efficient mitotic progression, cytokinesis, and the formation of the cleavage furrow. This protein also facilitates clathrin-dependent and independent endocytosis, macropinocytosis, and membrane tubulation. It enhances DNM2's GTPase activity and plasma membrane localization, contributing to autophagosome assembly.

Therapeutic significance:

Understanding the role of Sorting nexin-18 could open doors to potential therapeutic strategies.

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