AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Solute carrier family 25 member 36

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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 features a range of promising modulators, each detailed with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Plus, each compound is presented with its ideal docking poses, affinity scores, and activity scores, ensuring a thorough insight.

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

Q96CQ1

UPID:

S2536_HUMAN

Alternative names:

-

Alternative UPACC:

Q96CQ1; A8MYF7; Q05CY1; Q9H0G8; Q9NVN5

Background:

Solute carrier family 25 member 36 plays a pivotal role in mitochondrial function by importing and exporting pyrimidine nucleotides, crucial for mitochondrial DNA and RNA synthesis. It selectively transports cytosine, guanosine, inosine, and uridine nucleosides, facilitating mitochondrial genome maintenance and respiration.

Therapeutic significance:

Linked to Hyperinsulinemic hypoglycemia, familial, 8, this protein's dysfunction results in symptomatic hypoglycemia and hyperammonemia. Understanding its role could lead to targeted therapies for this genetic disorder, emphasizing the importance of its study in metabolic diseases.

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