AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Guanine nucleotide exchange factor MSS4

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.

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.

We employ our advanced, specialised process to create targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse 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

P47224

UPID:

MSS4_HUMAN

Alternative names:

Rab-interacting factor

Alternative UPACC:

P47224; B2R4P4; Q92992

Background:

The Guanine nucleotide exchange factor MSS4, also known as Rab-interacting factor, is a pivotal protein in cellular processes, facilitating guanine-nucleotide release on members of the SEC4/YPT1/RAB subfamily. Its primary function involves stimulating GDP release from YPT1, RAB3A, and RAB10, with a notable preference for the SEC4 protein. This activity underscores its potential general role in vesicular transport, a critical pathway in cellular communication and material exchange.

Therapeutic significance:

Understanding the role of Guanine nucleotide exchange factor MSS4 could open doors to potential therapeutic strategies. Its involvement in the fundamental process of vesicular transport highlights its potential as a target for modulating cellular processes, offering a promising avenue for therapeutic intervention in diseases where vesicular transport is disrupted.

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