Focused On-demand Library for Cilia- and flagella-associated protein 70

Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced activity, selectivity, and safety.


From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. 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.


Our top-notch dedicated system is used to design specialised 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 stands out due to several important features:


  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.

  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.

  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.

  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.


PARTNER
Receptor.AI
 
UPACC
Q5T0N1

UPID:
CFA70_HUMAN

ALTERNATIVE NAMES:
Tetratricopeptide repeat protein 18

ALTERNATIVE UPACC:
Q5T0N1; C9JIZ9; Q5T0M4; Q5T0M9; Q5T0N0; Q69YH9; Q8IYZ8; Q8N7D5; Q8NI30; Q8NI31

BACKGROUND:
The protein Cilia- and flagella-associated protein 70, alternatively named Tetratricopeptide repeat protein 18, is integral to the regulation of ciliary motility and cilium length. Its interaction with the axoneme suggests a pivotal role in cellular and physiological processes.

THERAPEUTIC SIGNIFICANCE:
Its association with Spermatogenic failure 41, marked by oligozoospermia and flagellar abnormalities, highlights its potential impact on reproductive health. Exploring the functions of Cilia- and flagella-associated protein 70 offers promising avenues for developing treatments for infertility.

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