AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Tripartite motif-containing protein 49

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

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 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

P0CI25

UPID:

TRI49_HUMAN

Alternative names:

RING finger protein 18; Testis-specific RING-finger protein

Alternative UPACC:

P0CI25; A0AVR7; A0AVR9; Q6DJV1; Q9NS80

Background:

Tripartite motif-containing protein 49, also known as RING finger protein 18 or Testis-specific RING-finger protein, is a protein encoded by the gene symbolized as P0CI25. Its alternative names highlight its structural diversity and potential specificity in function, particularly in the testis. The protein belongs to a family known for their roles in various cellular processes, including cell cycle regulation, apoptosis, and transcriptional control.

Therapeutic significance:

Understanding the role of Tripartite motif-containing protein 49 could open doors to potential therapeutic strategies. Its involvement in critical cellular processes suggests that it could be a key target for drug discovery, especially in diseases where these processes are dysregulated.

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