Focused On-demand Library for Protein scribble homolog

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.

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.

Our high-tech, dedicated method is applied to construct targeted libraries.

Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

Several key aspects differentiate our library:

Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

Q14160

UPID:

SCRIB_HUMAN

Alternative names:

Protein LAP4

Alternative UPACC:

Q14160; Q6P496; Q7Z5D1; Q8WWV8; Q96C69; Q96GG1

Background:

Protein scribble homolog, also known as Protein LAP4, plays a pivotal role in cell differentiation, polarization, and morphogenesis across various biological systems. It is instrumental in regulating epithelial and neuronal morphogenesis, T-cell polarization, and apico-basal cell polarity. Its functions extend to cell proliferation, apoptosis regulation, migration, adhesion, and even synaptic vesicle targeting, showcasing its broad impact on cellular processes.

Therapeutic significance:

Given its involvement in neural tube defects, a condition stemming from defective neural tube closure, understanding the role of Protein scribble homolog could open doors to potential therapeutic strategies. Its multifaceted role in cell differentiation and polarization underscores its potential as a target in congenital malformation therapies.