AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Fibroblast growth factor 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense 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.

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.

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

 Fig. 1. The sreening workflow of Receptor.AI

This approach involves comprehensive molecular simulations of the catalytic and allosteric binding pockets and ensemble virtual screening that accounts for their conformational flexibility. In the case of designing modulators, the structural adjustments caused by reaction intermediates are considered to improve activity and selectivity.

Several key aspects differentiate our library:

  • Receptor.AI compiles an all-encompassing dataset on the target protein, including historical experiments, literature data, known ligands, and structural insights, maximising the chances of prioritising the most pertinent compounds.
  • The platform employs state-of-the-art molecular simulations to identify potential binding sites, ensuring the focused library is primed for discovering allosteric inhibitors and binders of concealed pockets.
  • Over 50 customisable AI models, thoroughly evaluated in various drug discovery endeavours and research projects, make Receptor.AI both efficient and accurate. This technology is integral to the development of our focused libraries.
  • In addition to generating focused libraries, Receptor.AI offers a full range of services and solutions for every step of preclinical drug discovery, with a pricing model based on success, thereby reducing risk and promoting joint project success.

partner

Reaxense

upacc

P05230

UPID:

FGF1_HUMAN

Alternative names:

Acidic fibroblast growth factor; Endothelial cell growth factor; Heparin-binding growth factor 1

Alternative UPACC:

P05230; B2R5T0; D3DQF2; P07502; Q16588

Background:

Fibroblast growth factor 1 (FGF1), also known as acidic fibroblast growth factor, plays a pivotal role in cell survival, division, angiogenesis, differentiation, and migration. It acts as a potent mitogen and ligand for FGFR1 and integrins, initiating signaling cascades essential for cellular processes. Its interaction with FGFR1 and integrins is crucial for its biological functions, including angiogenesis.

Therapeutic significance:

Understanding the role of Fibroblast growth factor 1 could open doors to potential therapeutic strategies. Its involvement in critical cellular processes and angiogenesis highlights its potential as a target for therapeutic intervention in diseases where these processes are dysregulated.

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