Focused On-demand Libraries - Receptor.AI 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 Reaxense.


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 high-tech, dedicated method is applied to construct targeted libraries.


 

Fig. 1. The screening 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 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
Receptor.AI
 
UPACC
O43237

UPID:
DC1L2_HUMAN

ALTERNATIVE NAMES:
Dynein light intermediate chain 2, cytosolic; LIC53/55

ALTERNATIVE UPACC:
O43237; A8K6V1; B4DZP4; Q8TAT3

BACKGROUND:
The protein known as Cytoplasmic dynein 1 light intermediate chain 2, with alternative names Dynein light intermediate chain 2, cytosolic or LIC53/55, is a key component of the cytoplasmic dynein 1 complex. It is thought to be involved in the regulation of dynein function and the intracellular transport of vesicles and organelles along microtubules. This protein's role in connecting dynein to its cargos and to adapter proteins is critical for the proper functioning of cellular transport systems.

THERAPEUTIC SIGNIFICANCE:
Exploring the functions of Cytoplasmic dynein 1 light intermediate chain 2 holds promise for identifying novel therapeutic approaches. As a central player in the dynein-mediated transport system, targeting this protein could lead to breakthroughs in treating diseases linked to cellular transport dysfunctions.

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