AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Fibroblast growth factor 8

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.

Our selection of compounds is from a large virtual library of over 60 billion molecules. The production and distribution of these compounds are managed by our partner 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.

 Fig. 1. The sreening workflow of Receptor.AI

Our methodology employs molecular simulations to explore a wide array of proteins, capturing their dynamic states both individually and within complexes. Through ensemble virtual screening, we address conformational mobility, uncovering binding sites within functional regions and remote allosteric locations. This thorough exploration ensures no potential mechanism of action is overlooked, aiming to discover novel therapeutic targets and lead compounds across an extensive spectrum of biological functions.

Our library distinguishes itself through several key aspects:

  • The Receptor.AI platform integrates all available data about the target protein, including past experiments, literature data, known ligands, structural information and more. This consolidated approach maximises the probability of prioritising highly relevant compounds.
  • The platform uses sophisticated molecular simulations to identify possible binding sites so that the compounds in the focused library are suitable for discovering allosteric inhibitors and the binders for cryptic pockets.
  • The platform integrates over 50 highly customisable AI models, which are thoroughly tested and validated on a multitude of commercial drug discovery programs and research projects. It is designed to be efficient, reliable and accurate. All this power is utilised when producing the focused libraries.
  • In addition to producing the focused libraries, Receptor.AI provides services and end-to-end solutions at every stage of preclinical drug discovery. The pricing model is success-based, which reduces your risks and leverages the mutual benefits of the project's success.

partner

Reaxense

upacc

P55075

UPID:

FGF8_HUMAN

Alternative names:

Androgen-induced growth factor; Heparin-binding growth factor 8

Alternative UPACC:

P55075; A1A514; Q14915; Q15766

Background:

Fibroblast growth factor 8 (FGF8), also known as Androgen-induced growth factor and Heparin-binding growth factor 8, is pivotal in embryonic development, cell proliferation, differentiation, and migration. It is essential for the normal development of the brain, eyes, ears, limbs, and the gonadotropin-releasing hormone (GnRH) neuronal system.

Therapeutic significance:

FGF8's involvement in Hypogonadotropic hypogonadism 6 with or without anosmia and Hypoplastic femurs and pelvis highlights its potential as a therapeutic target. Understanding FGF8's role could lead to novel treatments for these conditions, emphasizing the importance of research in this area.

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