Focused On-demand Library for Cytospin-A

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 includes a list of the most promising modulators annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Also, each compound is presented with its optimal docking poses, affinity scores, and activity scores, providing a comprehensive overview.

Our top-notch dedicated system is used to design specialised 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.

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

Q69YQ0

UPID:

CYTSA_HUMAN

Alternative names:

Renal carcinoma antigen NY-REN-22; Sperm antigen with calponin homology and coiled-coil domains 1-like

Alternative UPACC:

Q69YQ0; B7Z758; F5H1H6; O15081

Background:

Cytospin-A, also known as Renal carcinoma antigen NY-REN-22 and Sperm antigen with calponin homology and coiled-coil domains 1-like, plays a crucial role in cytokinesis and spindle organization. Its involvement in actin cytoskeleton organization and microtubule stabilization is essential for proper cell adhesion and migration.

Therapeutic significance:

Cytospin-A's association with diseases such as Facial clefting, oblique, 1, and Teebi hypertelorism syndrome 1, underscores its potential as a target for therapeutic intervention. Understanding the role of Cytospin-A could open doors to potential therapeutic strategies.