Focused On-demand Libraries - Receptor.AI 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.


We pick out particular compounds from an extensive virtual database of more than 60 billion molecules. The preparation and shipment of these compounds are facilitated by Reaxense.


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.


Our top-notch dedicated system is used to design specialised libraries for enzymes.


 

Fig. 1. The screening 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 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.


PARTNER
Receptor.AI
 
UPACC
Q8N442

UPID:
GUF1_HUMAN

ALTERNATIVE NAMES:
Elongation factor 4 homolog; GTPase GUF1; Ribosomal back-translocase

ALTERNATIVE UPACC:
Q8N442; Q5XKM8; Q9H710; Q9H8U4

BACKGROUND:
The Translation factor GUF1, mitochondrial, known for its roles as Elongation factor 4 homolog, GTPase GUF1, and Ribosomal back-translocase, is crucial for mitochondrial protein synthesis. It acts as a fidelity factor in the translation reaction, catalyzing a backward translocation of tRNAs on ribosomes that have misaligned, in a GTP-dependent interaction with mitochondrial ribosomes.

THERAPEUTIC SIGNIFICANCE:
Given its association with Developmental and epileptic encephalopathy 40, a condition characterized by refractory seizures and cognitive delays, the exploration of Translation factor GUF1, mitochondrial, is vital. Understanding the role of this protein could open doors to potential therapeutic strategies, offering hope for advancements in treatment and care for patients with DEE40.

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