Focused On-demand Library for SNW domain-containing protein 1

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.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

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 utilise our cutting-edge, exclusive workflow to develop focused 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 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

Q13573

UPID:

SNW1_HUMAN

Alternative names:

Nuclear protein SkiP; Nuclear receptor coactivator NCoA-62; Ski-interacting protein

Alternative UPACC:

Q13573; A8K8A9; Q13483; Q32N03; Q5D0D6

Background:

SNW domain-containing protein 1, known as Nuclear protein SkiP, Nuclear receptor coactivator NCoA-62, and Ski-interacting protein, plays a pivotal role in pre-mRNA splicing as part of the spliceosome. It is essential for the splicing of U12-type introns and the specific splicing of CDKN1A pre-mRNA. Additionally, it contributes to transcriptional regulation, interacting with various proteins such as SMAD, MYOD1, RB1, and participates in NOTCH1-mediated transcriptional activation.

Therapeutic significance:

Understanding the role of SNW domain-containing protein 1 could open doors to potential therapeutic strategies.