Focused On-demand Library for Bifunctional glutamate/proline--tRNA ligase

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.

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 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.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.







Alternative names:

Bifunctional aminoacyl-tRNA synthetase; Cell proliferation-inducing gene 32 protein; Glutamatyl-prolyl-tRNA synthetase

Alternative UPACC:

P07814; A0AVA9; B9EGH3; Q05BP6; Q05DF8; Q5DSM1; Q5H9S5; Q6PD57; Q86X73


The Bifunctional glutamate/proline--tRNA ligase, also known as Bifunctional aminoacyl-tRNA synthetase, Cell proliferation-inducing gene 32 protein, and Glutamatyl-prolyl-tRNA synthetase, plays a crucial role in protein synthesis. It is part of the aminoacyl-tRNA synthetase multienzyme complex, facilitating the attachment of amino acids to their corresponding tRNA. Additionally, it acts as an effector in the mTORC1 signaling pathway, enhancing the uptake of long-chain fatty acids by adipocytes.

Therapeutic significance:

Linked to Leukodystrophy, hypomyelinating, 15, a disorder marked by motor and cognitive impairment, this protein's understanding could pave the way for innovative treatments targeting the underlying genetic causes.

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