Focused On-demand Library for Transmembrane anterior posterior transformation protein 1 homolog

Focused On-demand Libraries - Receptor.AI 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.


Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by Reaxense.


The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.


We use our state-of-the-art dedicated workflow for designing focused 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.


Key features that set our library apart include:


  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.

  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.

  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.

  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.


PARTNER
Receptor.AI
 
UPACC
Q6NXT6

UPID:
TAPT1_HUMAN

ALTERNATIVE NAMES:
Cytomegalovirus partial fusion receptor

ALTERNATIVE UPACC:
Q6NXT6; Q8N2S3; Q9NZK9

BACKGROUND:
The Transmembrane anterior posterior transformation protein 1 homolog is pivotal in axial skeletal patterning, acting as a downstream effector of HOXC8. It also plays roles in cartilage, bone development, and cranial neural crest cell differentiation, highlighting its multifaceted biological functions.

THERAPEUTIC SIGNIFICANCE:
Linked to a lethal syndrome characterized by hypomineralization and osteopenia, the protein's genetic variants cause significant developmental anomalies. Exploring the functions of Transmembrane anterior posterior transformation protein 1 homolog offers a pathway to novel therapeutic interventions.

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