AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Cohesin subunit SA-1

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.

partner

Reaxense

upacc

Q8WVM7

UPID:

STAG1_HUMAN

Alternative names:

SCC3 homolog 1; Stromal antigen 1

Alternative UPACC:

Q8WVM7; O00539; Q6P275

Background:

Cohesin subunit SA-1, also known as SCC3 homolog 1 and Stromal antigen 1, plays a pivotal role in chromosome cohesion. This protein is a crucial component of the cohesin complex, essential for sister chromatid cohesion post-DNA replication, ensuring accurate chromosome segregation during cell division. Its involvement in spindle pole assembly highlights its significance in mitosis.

Therapeutic significance:

The protein's mutation is linked to Intellectual developmental disorder, autosomal dominant 47, characterized by developmental delays and intellectual disability. Understanding the role of Cohesin subunit SA-1 could open doors to potential therapeutic strategies for this disorder.

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