AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Oligoribonuclease, mitochondrial

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.

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 effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

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

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

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

Q9Y3B8

UPID:

ORN_HUMAN

Alternative names:

RNA exonuclease 2 homolog; Small fragment nuclease

Alternative UPACC:

Q9Y3B8; B2R532; Q32Q18; Q53FT1; Q6FIC6; Q9UFY7

Background:

Oligoribonuclease, mitochondrial, also known as RNA exonuclease 2 homolog and Small fragment nuclease, plays a pivotal role in mitochondrial health. It specializes in degrading short DNA and RNA oligonucleotides, particularly those composed of just two nucleotides. This enzyme is crucial for maintaining mitochondrial function by scavenging nanoRNAs and facilitating correct initiation of mitochondrial transcription. Its activity prevents RNA-primed transcription at non-canonical sites, safeguarding the mitochondrial genome's integrity.

Therapeutic significance:

Understanding the role of Oligoribonuclease, mitochondrial could open doors to potential therapeutic strategies. Its essential function in mitochondrial maintenance and embryonic development highlights its potential as a target for interventions in diseases linked to mitochondrial dysfunction.

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