Focused On-demand Library for Leucine-rich PPR motif-containing protein, 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.

From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. Our collaborator, Reaxense, aids in their synthesis and provision.

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 strategy employs molecular simulations to explore an extensive range of proteins, capturing their dynamics both individually and within complexes with other proteins. Through ensemble virtual screening, we address proteins' conformational mobility, uncovering key binding sites at both functional regions and remote allosteric locations. This comprehensive investigation ensures a thorough assessment of all potential mechanisms of action, with the goal of discovering innovative therapeutic targets and lead molecules across across diverse biological functions.

Our library stands out due to several important features:

  • The Receptor.AI platform compiles comprehensive data on the target protein, encompassing previous experiments, literature, known ligands, structural details, and more, leading to a higher chance of selecting the most relevant compounds.
  • Advanced molecular simulations on the platform help pinpoint potential binding sites, making the compounds in our focused library ideal for finding allosteric inhibitors and targeting cryptic pockets.
  • Receptor.AI boasts over 50 tailor-made AI models, rigorously tested and proven in various drug discovery projects and research initiatives. They are crafted for efficacy, dependability, and precision, all of which are key in creating our focused libraries.
  • Beyond creating focused libraries, Receptor.AI offers comprehensive services and complete solutions throughout the preclinical drug discovery phase. Our success-based pricing model minimises risk and maximises the mutual benefits of the project's success.







Alternative names:

130 kDa leucine-rich protein; GP130

Alternative UPACC:

P42704; A0PJE3; A8K1V1; Q53PC0; Q53QN7; Q6ZUD8; Q7Z7A6; Q96D84


The Leucine-rich PPR motif-containing protein, mitochondrial, also known as GP130 or 130 kDa leucine-rich protein, plays a pivotal role in RNA metabolism within both nuclear and mitochondrial matrices. It is involved in late stages of mRNA maturation, possibly associated with nuclear mRNA export, and in the stability or translation of mitochondrially encoded cytochrome c oxidase subunits. Additionally, it contributes to transcription regulation, including the regulation of multidrug-related genes MDR1 and MVP.

Therapeutic significance:

Given its involvement in Mitochondrial complex IV deficiency, nuclear type 5, a severe mitochondrial disease with multisystemic manifestations, understanding the role of Leucine-rich PPR motif-containing protein could open doors to potential therapeutic strategies.

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