AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Tetratricopeptide repeat protein 5

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better activity, selectivity, and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best 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

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

Q8N0Z6

UPID:

TTC5_HUMAN

Alternative names:

Stress-responsive activator of p300

Alternative UPACC:

Q8N0Z6; A8MQ18; Q96HF9

Background:

Tetratricopeptide repeat protein 5 (TTC5), also known as Stress-responsive activator of p300, plays a pivotal role in cellular mechanisms including actin regulation, autophagy, chromatin regulation, and DNA repair. It interacts with various cofactors and proteins to modulate cellular responses to stress, nutrient availability, and DNA damage, thereby influencing cell survival, apoptosis, and mitochondrial function.

Therapeutic significance:

Given its involvement in neurodevelopmental disorder with cerebral atrophy and variable facial dysmorphism, understanding the role of TTC5 could open doors to potential therapeutic strategies for treating this genetic condition.

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