AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Sulfotransferase 6B1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior 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.

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 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.

Our library is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

Q6IMI4

UPID:

ST6B1_HUMAN

Alternative names:

Thyroxine sulfotransferase

Alternative UPACC:

Q6IMI4; B2RTS7

Background:

Sulfotransferase 6B1, also known as Thyroxine sulfotransferase, plays a pivotal role in the metabolism of thyroxine. It functions by utilizing 3'-phospho-5'-adenylyl sulfate (PAPS) as a sulfonate donor to catalyze the sulfate conjugation of thyroxine. This process is crucial for regulating the bioavailability and activity of thyroxine, a hormone essential for normal metabolism, growth, and development.

Therapeutic significance:

Understanding the role of Sulfotransferase 6B1 could open doors to potential therapeutic strategies. Its involvement in thyroxine metabolism suggests that modulation of its activity could offer new avenues for managing conditions related to thyroid hormone imbalance.

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