AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Tenascin-R

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.

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.

Our top-notch dedicated system is used to design specialised libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse 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

Q92752

UPID:

TENR_HUMAN

Alternative names:

Janusin; Restrictin

Alternative UPACC:

Q92752; C9J563; Q15568; Q5R3G0

Background:

Tenascin-R, known alternatively as Janusin and Restrictin, is a neural extracellular matrix protein pivotal in cell-matrix interactions. It influences cellular behavior through adhesion, differentiation, repulsion, and inhibition of neurite growth. Its interactions with cell surface gangliosides and sulfatides play critical roles in cellular adhesion, detachment, and oligodendrocyte differentiation. Moreover, Tenascin-R's interaction with CNTN1 and SCN2B is essential for neuron repulsion and sodium channel regulation at nodes of Ranvier.

Therapeutic significance:

The involvement of Tenascin-R in neurodevelopmental disorder, non-progressive, with spasticity and transient opisthotonus, underscores its therapeutic potential. Understanding Tenascin-R's role could pave the way for innovative treatments targeting neural matrix interactions and cellular behavior modulation in neurodevelopmental disorders.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.
No Spam. Cancel Anytime.