Focused On-demand Library for Spondin-1

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed 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 leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of biological functions.

Our library distinguishes itself through several key aspects:

The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

Q9HCB6

UPID:

SPON1_HUMAN

Alternative names:

F-spondin; Vascular smooth muscle cell growth-promoting factor

Alternative UPACC:

Q9HCB6; A8K6W5; O94862; Q8NCD7; Q8WUR5

Background:

Spondin-1, also known as F-spondin and Vascular smooth muscle cell growth-promoting factor, is a pivotal cell adhesion protein. It plays a crucial role in promoting the attachment of spinal cord and sensory neuron cells, as well as the outgrowth of neurites in vitro. By similarity, Spondin-1 is believed to contribute significantly to the growth and guidance of axons in both the spinal cord and the peripheral nervous system (PNS). Its function as a major factor for vascular smooth muscle cell growth underscores its importance in cellular development and regeneration.

Therapeutic significance:

Understanding the role of Spondin-1 could open doors to potential therapeutic strategies. Its involvement in neuron cell attachment, neurite outgrowth, and axon guidance positions it as a key target for developing treatments aimed at neurological disorders and vascular diseases.