AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for ATP synthase F(0) complex subunit C3, mitochondrial

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 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 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

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.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

P48201

UPID:

AT5G3_HUMAN

Alternative names:

ATP synthase lipid-binding protein; ATP synthase membrane subunit c locus 3; ATP synthase proteolipid P3; ATP synthase proton-transporting mitochondrial F(0) complex subunit C3; ATPase protein 9; ATPase subunit c

Alternative UPACC:

P48201; B2R4Z0; D3DPF0; Q4ZFX7

Background:

ATP synthase F(0) complex subunit C3, mitochondrial, plays a pivotal role in cellular energy production. It is a part of the mitochondrial membrane ATP synthase, also known as Complex V, which synthesizes ATP from ADP, utilizing a proton gradient created by the respiratory chain. This process involves a sophisticated mechanism where ATP synthesis is coupled with proton translocation through a rotary action of the central and peripheral stalks of the enzyme complex.

Therapeutic significance:

The protein is implicated in early-onset dystonia and/or spastic paraplegia, diseases characterized by movement disorders without cognitive impairment. Understanding the role of ATP synthase F(0) complex subunit C3, mitochondrial, could open doors to potential therapeutic strategies for these conditions.

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