Focused On-demand Libraries - Receptor.AI Collaboration


Explore the Potential with AI-Driven Innovation

This extensive focused library is tailor-made using the latest virtual screening and parameter assessment technology, operated by the Receptor.AI drug discovery platform. This technique is more effective than traditional methods, offering compounds with improved 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.


In the library, a selection of top modulators is provided, each marked with 38 ADME-Tox and 32 parameters related to physicochemical properties and drug-likeness. Also, every compound comes with its best docking poses, affinity scores, and activity scores, providing a comprehensive overview.


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


 

Fig. 1. The screening 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 is unique due to several crucial aspects:


  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.

  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.

  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.

  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.


PARTNER
Receptor.AI
 
UPACC
Q04637

UPID:
IF4G1_HUMAN

ALTERNATIVE NAMES:
p220

ALTERNATIVE UPACC:
Q04637; D3DNT2; D3DNT4; D3DNT5; E9PFM1; G5E9S1; O43177; O95066; Q5HYG0; Q6ZN21; Q8N102

BACKGROUND:
The protein EIF4G1, known alternatively as p220, is integral to the eIF4F complex, facilitating mRNA cap recognition, unwinding, and ribosome recruitment. It exists in two key complexes, impacting mRNA scanning and start codon identification, and is vital for the translation of ATF4 mRNA during endoplasmic reticulum stress.

THERAPEUTIC SIGNIFICANCE:
Linked to Parkinson disease 18, EIF4G1's involvement in this autosomal dominant, neurodegenerative disorder highlights its potential as a target for therapeutic intervention. Exploring EIF4G1's function could lead to breakthroughs in treating Parkinson's disease and similar conditions.

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