Focused On-demand Library for Forkhead box protein G1

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.


From a virtual chemical space containing more than 60 billion molecules, we precisely choose certain compounds. 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 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.


Key features that set our library apart include:


  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.

  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.

  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.

  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.


PARTNER
Receptor.AI
 
UPACC
P55316

UPID:
FOXG1_HUMAN

ALTERNATIVE NAMES:
Brain factor 1; Brain factor 2; Forkhead box protein G1A; Forkhead box protein G1B; Forkhead box protein G1C; Forkhead-related protein FKHL1; Forkhead-related protein FKHL2; Forkhead-related protein FKHL3

ALTERNATIVE UPACC:
P55316; A6NFY2; P55315; Q14488; Q86XT7

BACKGROUND:
The Forkhead box protein G1, with aliases like Brain factor 2 and Forkhead box protein G1B, is integral to brain subdivision and telencephalon development. Acting as a transcription repression factor, it is essential for proper neurological development.

THERAPEUTIC SIGNIFICANCE:
The association of Forkhead box protein G1 with the congenital variant of Rett syndrome underscores its therapeutic potential. Exploring its role could lead to groundbreaking treatments for this and similar neurodevelopmental disorders.

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