AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Protein crumbs homolog 2

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.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.

We use our state-of-the-art dedicated workflow for designing focused 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

Q5IJ48

UPID:

CRUM2_HUMAN

Alternative names:

Crumbs-like protein 2

Alternative UPACC:

Q5IJ48; A2A3N4; Q0QD46; Q5JS41; Q5JS43; Q6ZTA9; Q6ZWI6

Background:

Protein crumbs homolog 2, also known as Crumbs-like protein 2, plays a pivotal role in epithelial-to-mesenchymal transition during gastrulation, influencing cell movement and tissue layer formation. It is crucial for retinal neuroepithelium organization, photoreceptor polarity, and cortical development, while also inhibiting amyloid-beta peptide secretion.

Therapeutic significance:

Linked to diseases such as Focal segmental glomerulosclerosis 9, Retinitis pigmentosa, and Ventriculomegaly with cystic kidney disease, understanding the role of Protein crumbs homolog 2 could open doors to potential therapeutic strategies.

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