AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for FERM and PDZ domain-containing protein 4

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.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive 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.

partner

Reaxense

upacc

Q14CM0

UPID:

FRPD4_HUMAN

Alternative names:

PDZ domain-containing protein 10; PSD-95-interacting regulator of spine morphogenesis

Alternative UPACC:

Q14CM0; A8K0X9; O15032

Background:

FERM and PDZ domain-containing protein 4, also known as PDZ domain-containing protein 10 or PSD-95-interacting regulator of spine morphogenesis, plays a crucial role in the nervous system. It acts as a positive regulator of dendritic spine morphogenesis and density, essential for maintaining excitatory synaptic transmission. This protein's interaction with phosphatidylinositol 4,5-bisphosphate highlights its significance in cellular signaling pathways.

Therapeutic significance:

Linked to Intellectual developmental disorder, X-linked 104, FERM and PDZ domain-containing protein 4's study offers insights into intellectual disability's genetic basis. Understanding its role could pave the way for innovative therapeutic strategies targeting synaptic malfunctions in intellectual disabilities.

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