AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Translation factor GUF1, 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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We employ our advanced, specialised process to create targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

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.

partner

Reaxense

upacc

Q8N442

UPID:

GUF1_HUMAN

Alternative names:

Elongation factor 4 homolog; GTPase GUF1; Ribosomal back-translocase

Alternative UPACC:

Q8N442; Q5XKM8; Q9H710; Q9H8U4

Background:

Translation factor GUF1, mitochondrial, also known as Elongation factor 4 homolog, GTPase GUF1, and Ribosomal back-translocase, plays a pivotal role in mitochondrial protein synthesis. It ensures the accuracy of protein translation by facilitating a one-codon backward translocation of tRNAs on ribosomes that have translocated improperly, binding to mitochondrial ribosomes in a GTP-dependent manner.

Therapeutic significance:

Linked to Developmental and epileptic encephalopathy 40 (DEE40), a severe early-onset epilepsy with neurodevelopmental impairment, the study of Translation factor GUF1, mitochondrial, offers a promising avenue for therapeutic intervention. Understanding its function could lead to novel strategies for managing DEE40, improving prognosis and quality of life for affected individuals.

Looking for more information on this library or underlying technology? Fill out the form below and we'll be in touch with all the details you need.
Thank you! Your submission has been received!
Oops! Something went wrong while submitting the form.