AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Protein NDNF

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

This comprehensive focused library is produced on demand with state-of-the-art virtual screening and parameter assessment technology driven by Receptor.AI drug discovery platform. This approach outperforms traditional methods and provides higher-quality compounds with superior activity, selectivity and safety.

The compounds are cherry-picked from the vast virtual chemical space of over 60B molecules. The synthesis and delivery of compounds is facilitated by our partner Reaxense.

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.

We use our state-of-the-art dedicated workflow for designing focused libraries.

 Fig. 1. The sreening workflow of Receptor.AI

Utilising molecular simulations, our approach thoroughly examines a wide array of proteins, tracking their conformational changes individually and within complexes. Ensemble virtual screening enables us to address conformational flexibility, revealing essential binding sites at functional regions and allosteric locations. Our rigorous analysis guarantees that no potential mechanism of action is overlooked, aiming to uncover new therapeutic targets and lead compounds across diverse biological functions.

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

Q8TB73

UPID:

NDNF_HUMAN

Alternative names:

Neuron-derived neurotrophic factor

Alternative UPACC:

Q8TB73; A8K0Q0; Q6UWE5; Q9H5P7

Background:

Protein NDNF, also known as Neuron-derived neurotrophic factor, is a secretory protein implicated in a myriad of cellular processes. It acts as a chemorepellent for gonadotropin-releasing hormone neurons, guiding their migration to the hypothalamus, and is crucial in the development of the olfactory system. NDNF also plays roles in neuron migration, survival, neurite outgrowth, extracellular matrix assembly, and endothelial cell survival.

Therapeutic significance:

Given its involvement in Hypogonadotropic hypogonadism 25 with anosmia, understanding the role of Protein NDNF could open doors to potential therapeutic strategies for this condition, which is characterized by absent sexual maturation and low levels of gonadotropins and testosterone, often accompanied by anosmia.

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