AI-ACCELERATED DRUG DISCOVERY

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

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.

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 our partner 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 utilise our cutting-edge, exclusive workflow to develop focused 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.

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

Reaxense

upacc

Q6NXT6

UPID:

TAPT1_HUMAN

Alternative names:

Cytomegalovirus partial fusion receptor

Alternative UPACC:

Q6NXT6; Q8N2S3; Q9NZK9

Background:

Transmembrane anterior posterior transformation protein 1 homolog, also known as a partial fusion receptor for cytomegalovirus, plays a crucial role in primary cilia formation and skeletal patterning. Its involvement in cartilage and bone development, alongside differentiation of cranial neural crest cells, underscores its significance in embryonic development.

Therapeutic significance:

The protein's mutation is linked to Osteochondrodysplasia, complex lethal, Symoens-Barnes-Gistelinck type, a severe syndrome affecting the skeleton and other organs. Understanding the role of Transmembrane anterior posterior transformation protein 1 homolog could open doors to potential therapeutic strategies.

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