AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Transforming growth factor beta-2 proprotein

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.

We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by our associate Reaxense.

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

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology leverages molecular simulations to examine a vast array of proteins, capturing their dynamics in both isolated forms and in complexes with other proteins. Through ensemble virtual screening, we thoroughly account for the protein's conformational mobility, identifying critical binding sites within functional regions and distant allosteric locations. This detailed exploration ensures that we comprehensively assess every possible mechanism of action, with the objective of identifying novel therapeutic targets and lead compounds that span a wide spectrum of 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

P61812

UPID:

TGFB2_HUMAN

Alternative names:

Cetermin; Glioblastoma-derived T-cell suppressor factor

Alternative UPACC:

P61812; B4DKC5; P08112; Q15579; Q15581; Q4VAV9

Background:

Transforming growth factor beta-2 proprotein, also known as Cetermin and Glioblastoma-derived T-cell suppressor factor, plays a pivotal role in various biological processes including angiogenesis and heart development. It is a precursor of the Latency-associated peptide (LAP) and Transforming growth factor beta-2 (TGF-beta-2) chains, essential for maintaining TGF-beta-2 in a latent state within the extracellular matrix.

Therapeutic significance:

Linked to Loeys-Dietz syndrome 4, characterized by arterial tortuosity and aortic dissection among other symptoms, this protein's gene variants highlight its critical role in disease manifestation. Understanding the role of Transforming growth factor beta-2 proprotein could open doors to potential therapeutic strategies for this syndrome.

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