AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for IQ motif and SEC7 domain-containing protein 1

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

Our detailed focused library is generated on demand with advanced virtual screening and parameter assessment technology powered by the Receptor.AI drug discovery platform. This method surpasses traditional approaches, delivering compounds of better quality with enhanced 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.

The library includes a list of the most effective modulators, each annotated with 38 ADME-Tox and 32 physicochemical and drug-likeness parameters. Furthermore, each compound is shown with its optimal docking poses, affinity scores, and activity scores, offering a detailed summary.

Our high-tech, dedicated method is applied to construct targeted libraries.

 Fig. 1. The sreening workflow of Receptor.AI

By deploying molecular simulations, our approach comprehensively covers a broad array of proteins, tracking their flexibility and dynamics individually and within complexes. Ensemble virtual screening is utilised to take into account conformational dynamics, identifying pivotal binding sites located within functional regions and at allosteric locations. This thorough exploration ensures that every conceivable mechanism of action is considered, aiming to identify new therapeutic targets and advance lead compounds throughout a vast spectrum of biological functions.

Key features that set our library apart include:

  • The Receptor.AI platform integrates extensive information about the target protein, such as historical experiments, academic research, known ligands, and structural insights, thereby increasing the likelihood of identifying highly relevant compounds.
  • The platform’s sophisticated molecular simulations are designed to discover potential binding sites, ensuring that our focused library is optimal for the discovery of allosteric inhibitors and binders for cryptic pockets.
  • With over 50 customisable AI models, verified through extensive testing in commercial drug discovery and research, Receptor.AI is efficient, reliable, and precise. These models are essential in the production of our focused libraries.
  • Receptor.AI not only produces focused libraries but also provides full services and solutions at every stage of preclinical drug discovery, with a success-based pricing structure that aligns our interests with the success of your project.

partner

Reaxense

upacc

Q6DN90

UPID:

IQEC1_HUMAN

Alternative names:

ADP-ribosylation factors guanine nucleotide-exchange protein 100; ADP-ribosylation factors guanine nucleotide-exchange protein 2; Brefeldin-resistant Arf-GEF 2 protein

Alternative UPACC:

Q6DN90; A0A087WWK8; O94863; Q96D85

Background:

IQ motif and SEC7 domain-containing protein 1, also known as ADP-ribosylation factors guanine nucleotide-exchange protein 100, plays a pivotal role in neuronal development and vesicle formation. It acts as a guanine nucleotide exchange factor for ARF1 and ARF6, enhancing their GTP binding and is crucial for the internalization of beta-1 integrin and synaptic AMPAR receptors.

Therapeutic significance:

This protein's involvement in intellectual developmental disorder with short stature and behavioral abnormalities highlights its potential as a target for therapeutic intervention. Understanding the role of IQ motif and SEC7 domain-containing protein 1 could open doors to potential therapeutic strategies.

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