AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Dynein light chain Tctex-type 1

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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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.

We utilise our cutting-edge, exclusive workflow to develop focused 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 distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P63172

UPID:

DYLT1_HUMAN

Alternative names:

Protein CW-1; T-complex testis-specific protein 1 homolog

Alternative UPACC:

P63172; Q15763; Q5VTU4

Background:

Dynein light chain Tctex-type 1, also known as Protein CW-1 or T-complex testis-specific protein 1 homolog, plays a crucial role in cellular dynamics. It is a non-catalytic accessory component of the cytoplasmic dynein 1 complex, facilitating the retrograde motility of vesicles and organelles along microtubules. This protein is pivotal in apical cargo transport, neuronal morphogenesis, and mitotic spindle orientation. Its function extends to enhancing Rac1 activity, influencing neurogenesis, and potentially interacting with G-protein signaling pathways.

Therapeutic significance:

Understanding the role of Dynein light chain Tctex-type 1 could open doors to potential therapeutic strategies.

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