Focused On-demand Library for Kinase D-interacting substrate of 220 kDa

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 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.

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.

Our top-notch dedicated system is used to design specialised 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 is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.







Alternative names:

Ankyrin repeat-rich membrane-spanning protein

Alternative UPACC:

Q9ULH0; A1L4N4; Q4VC08; Q6MZU2; Q9H889; Q9H9E4; Q9NT37; Q9UF42


The Kinase D-interacting substrate of 220 kDa, also known as an Ankyrin repeat-rich membrane-spanning protein, plays a pivotal role in neurotrophin signaling pathways. It promotes sustained MAP-kinase signaling, facilitates Rap1-dependent ERK activation, and is involved in neuronal outgrowth and regeneration. Its interaction with SNTA1 enhances JAK/STAT activation in response to EPHA4, underscoring its significance in postsynaptic signal transduction.

Therapeutic significance:

Given its involvement in diseases such as Spastic paraplegia, intellectual disability, nystagmus, and obesity, and Ventriculomegaly and arthrogryposis, understanding the role of the Kinase D-interacting substrate of 220 kDa could open doors to potential therapeutic strategies. Its regulatory role in apoptosis and neurotrophin-mediated neuronal pathways highlights its potential as a target in neurodegenerative diseases and developmental disorders.

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