AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Dual specificity protein phosphatase 4

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

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

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

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

Q13115

UPID:

DUS4_HUMAN

Alternative names:

Dual specificity protein phosphatase hVH2; Mitogen-activated protein kinase phosphatase 2

Alternative UPACC:

Q13115; B2RBU5; D3DSU4; G5E930; Q13524

Background:

Dual specificity protein phosphatase 4, also known as Dual specificity protein phosphatase hVH2 and Mitogen-activated protein kinase phosphatase 2, plays a pivotal role in cellular signaling by dephosphorylating Thr and Tyr residues on MAP kinases ERK1 and ERK2. This regulatory mechanism is crucial for mitogenic signal transduction, influencing cell growth and differentiation.

Therapeutic significance:

Understanding the role of Dual specificity protein phosphatase 4 could open doors to potential therapeutic strategies. Its critical function in regulating key signaling pathways offers a promising target for modulating cellular processes involved in various diseases.

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