AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Coiled-coil-helix-coiled-coil-helix domain-containing protein 2

Available from Reaxense
Predicted by Alphafold

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.

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.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of 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

Q9Y6H1

UPID:

CHCH2_HUMAN

Alternative names:

Aging-associated gene 10 protein; HCV NS2 trans-regulated protein

Alternative UPACC:

Q9Y6H1; Q498C3; Q6NZ50

Background:

The Coiled-coil-helix-coiled-coil-helix domain-containing protein 2, also known as Aging-associated gene 10 protein and HCV NS2 trans-regulated protein, plays a pivotal role as a transcription factor. It uniquely activates the transcription of COX4I2 under both hypoxia (4% oxygen) and normoxia (20% oxygen) conditions, showcasing its versatility in cellular oxygen response.

Therapeutic significance:

Given its involvement in Parkinson disease 22, a neurodegenerative disorder marked by the loss of dopaminergic neurons and presence of Lewy bodies, understanding the role of this protein could pave the way for novel therapeutic strategies targeting the underlying mechanisms of Parkinson's and potentially other neurodegenerative diseases.

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