AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for GTP cyclohydrolase 1 feedback regulatory protein

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The focused library is created on demand with the latest virtual screening and parameter assessment technology, supported by the Receptor.AI drug discovery platform. This method is more effective than traditional methods and results in higher-quality compounds with better 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 our associate 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 high-tech, dedicated method is applied to construct targeted libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

It includes comprehensive molecular simulations of the catalytic and allosteric binding pockets and the ensemble virtual screening accounting for their conformational mobility. In the case of designing modulators, the structural changes induced by reaction intermediates are taken into account to leverage 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

Reaxense

upacc

P30047

UPID:

GFRP_HUMAN

Alternative names:

GTP cyclohydrolase I feedback regulatory protein; p35

Alternative UPACC:

P30047; B2R4L6; B7ZLM8; Q2M1Q2; Q99749

Background:

The GTP cyclohydrolase 1 feedback regulatory protein, also known as p35, plays a crucial role in the regulation of tetrahydrobiopterin (BH4) synthesis by mediating the inhibition of GTP cyclohydrolase 1. This process is essential for the biosynthesis of neurotransmitters and nitric oxide. The protein's ability to regulate this pathway through feedback inhibition highlights its importance in maintaining cellular homeostasis.

Therapeutic significance:

Understanding the role of GTP cyclohydrolase 1 feedback regulatory protein could open doors to potential therapeutic strategies. Its pivotal role in neurotransmitter synthesis and nitric oxide production makes it a compelling target for research aimed at treating neurological disorders and cardiovascular diseases.

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.