AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Zinc finger MYM-type 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.

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 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.

We utilise our cutting-edge, exclusive workflow to develop focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Our strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

Q9UBW7

UPID:

ZMYM2_HUMAN

Alternative names:

Fused in myeloproliferative disorders protein; Rearranged in atypical myeloproliferative disorder protein; Zinc finger protein 198

Alternative UPACC:

Q9UBW7; A6NDG0; A6NI02; O43212; O43434; O60898; Q5W0Q4; Q5W0T3; Q63HP0; Q8NE39; Q9H0V5; Q9H538; Q9UEU2

Background:

Zinc finger MYM-type protein 2, also known as Fused in myeloproliferative disorders protein, plays a crucial role in the negative regulation of transcription. Its alternative names include Rearranged in atypical myeloproliferative disorder protein and Zinc finger protein 198, highlighting its significance in gene expression modulation.

Therapeutic significance:

This protein is linked to Neurodevelopmental-craniofacial syndrome with variable renal and cardiac abnormalities, a disorder marked by craniofacial anomalies, developmental delays, and potential renal and cardiac defects. Understanding the role of Zinc finger MYM-type protein 2 could open doors to potential therapeutic strategies for this syndrome.

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