AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for NAD-dependent protein deacetylase sirtuin-3, mitochondrial

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved activity, selectivity, and safety.

We carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

The method includes detailed molecular simulations of the catalytic and allosteric binding pockets, along with ensemble virtual screening that considers their conformational flexibility. In the design of modulators, structural changes induced by reaction intermediates are taken into account to enhance activity and selectivity.

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

Q9NTG7

UPID:

SIR3_HUMAN

Alternative names:

Regulatory protein SIR2 homolog 3; SIR2-like protein 3

Alternative UPACC:

Q9NTG7; B7Z5U6; Q9Y6E8

Background:

NAD-dependent protein deacetylase sirtuin-3, mitochondrial, also known as Regulatory protein SIR2 homolog 3 or SIR2-like protein 3, plays a pivotal role in mitochondrial function and energy metabolism. It activates or deactivates mitochondrial target proteins by deacetylating key lysine residues, impacting cellular energy metabolism and regulating tissue-specific ATP levels. Its targets include ACSS1, IDH, GDH, SOD2, PDHA1, LCAD, SDHA, and ATP5PO, crucial for mitochondrial integrity and function.

Therapeutic significance:

Understanding the role of NAD-dependent protein deacetylase sirtuin-3, mitochondrial could open doors to potential therapeutic strategies. Its involvement in energy metabolism and mitochondrial function suggests its potential in addressing metabolic disorders and enhancing mitochondrial health.

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