AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Ribosomal oxygenase 2

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 pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate 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 employ our advanced, specialised process to create targeted 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

Q8IUF8

UPID:

RIOX2_HUMAN

Alternative names:

60S ribosomal protein L27a histidine hydroxylase; Bifunctional lysine-specific demethylase and histidyl-hydroxylase MINA; Histone lysine demethylase MINA; MYC-induced nuclear antigen; Mineral dust-induced gene protein; Nucleolar protein 52; Ribosomal oxygenase MINA

Alternative UPACC:

Q8IUF8; D3DN35; Q6AHW4; Q6SKS0; Q8IU69; Q8IUF6; Q8IUF7; Q96C17; Q96KB0

Background:

Ribosomal oxygenase 2, known as Ribosomal oxygenase MINA, plays a dual role in cellular mechanisms, acting as a histone lysine demethylase and a ribosomal histidine hydroxylase. It is pivotal in the demethylation of 'Lys-9' on histone H3, enhancing ribosomal RNA expression, and in the hydroxylation of 60S ribosomal protein L27a. This protein is crucial for cell growth and survival, contributing to ribosome biogenesis during pre-ribosomal particle assembly.

Therapeutic significance:

Understanding the role of Ribosomal oxygenase 2 could open doors to potential therapeutic strategies, offering insights into novel approaches for targeting diseases through modulation of gene expression and protein synthesis.

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