AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Transport and Golgi organization protein 1 homolog

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast 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

Q5JRA6

UPID:

TGO1_HUMAN

Alternative names:

C219-reactive peptide; D320; Melanoma inhibitory activity protein 3

Alternative UPACC:

Q5JRA6; A8K2S0; A8MT05; A8MT13; B7Z430; Q14083; Q3S4X3; Q5JRA5; Q5JRB0; Q5JRB1; Q5JRB2; Q6UVY8; Q86Y60; Q8N8M5; Q92580

Background:

Transport and Golgi organization protein 1 homolog, also known as C219-reactive peptide, D320, and Melanoma inhibitory activity protein 3, is pivotal in the transport of large cargos from the endoplasmic reticulum. It specifically facilitates the secretion of collagen VII and lipoproteins by incorporating them into membrane-bound carriers. This protein also plays a crucial role in the assembly of COPII coat components at endoplasmic reticulum exit sites, essential for protein secretion.

Therapeutic significance:

Linked to Odontochondrodysplasia 2 with hearing loss and diabetes, understanding the role of Transport and Golgi organization protein 1 homolog could open doors to potential therapeutic strategies. Its specific function in collagen VII secretion and lipoprotein export from the endoplasmic reticulum highlights its potential as a target in treating related disorders.

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