AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Filamin-A

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.

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.

Contained in the library are leading modulators, each labelled with 38 ADME-Tox and 32 physicochemical and drug-likeness qualities. In addition, each compound is illustrated with its optimal docking poses, affinity scores, and activity scores, giving a complete picture.

We utilise our cutting-edge, exclusive workflow to develop 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 is unique due to several crucial aspects:

  • Receptor.AI compiles all relevant data on the target protein, such as past experimental results, literature findings, known ligands, and structural data, thereby enhancing the likelihood of focusing on the most significant compounds.
  • By utilizing advanced molecular simulations, the platform is adept at locating potential binding sites, rendering the compounds in the focused library well-suited for unearthing allosteric inhibitors and binders for hidden pockets.
  • The platform is supported by more than 50 highly specialized AI models, all of which have been rigorously tested and validated in diverse drug discovery and research programs. Its design emphasizes efficiency, reliability, and accuracy, crucial for producing focused libraries.
  • Receptor.AI extends beyond just creating focused libraries; it offers a complete spectrum of services and solutions during the preclinical drug discovery phase, with a success-dependent pricing strategy that reduces risk and fosters shared success in the project.

partner

Reaxense

upacc

P21333

UPID:

FLNA_HUMAN

Alternative names:

Actin-binding protein 280; Alpha-filamin; Endothelial actin-binding protein; Filamin-1; Non-muscle filamin

Alternative UPACC:

P21333; E9KL45; Q5HY53; Q5HY55; Q8NF52

Background:

Filamin-A, also known as Actin-binding protein 280, plays a pivotal role in cell structure and movement by promoting orthogonal branching of actin filaments and anchoring membrane glycoproteins to the actin cytoskeleton. It is essential for cell-cell contacts, blood vessel and heart development, and neuron migration.

Therapeutic significance:

Filamin-A is implicated in a range of diseases, including developmental disorders and skeletal dysplasias like Periventricular nodular heterotopia and Otopalatodigital syndromes. Understanding Filamin-A's functions could lead to novel therapeutic strategies for these conditions.

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