AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Dynamin-1

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 carefully select specific compounds from a vast collection of over 60 billion molecules in virtual chemical space. Our partner Reaxense helps in synthesizing and delivering these compounds.

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 utilise our cutting-edge, exclusive workflow to develop focused libraries for enzymes.

 Fig. 1. The sreening workflow of Receptor.AI

The procedure entails thorough molecular simulations of the catalytic and allosteric binding pockets, accompanied by ensemble virtual screening that factors in their conformational flexibility. When developing modulators, the structural modifications brought about by reaction intermediates are factored in to optimize activity and selectivity.

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

Q05193

UPID:

DYN1_HUMAN

Alternative names:

-

Alternative UPACC:

Q05193; A6NLM6; Q5SYX0; Q5SYX2; Q6P3T6; Q86VD2

Background:

Dynamin-1, encoded by the gene with accession number Q05193, is a microtubule-associated force-producing protein. It plays a crucial role in producing microtubule bundles and is involved in vesicular trafficking processes, including receptor-mediated endocytosis. This protein is essential for cellular functions, such as signal transduction and intracellular transport.

Therapeutic significance:

Dynamin-1 is implicated in severe early-onset epilepsies, specifically Developmental and Epileptic Encephalopathy 31A and 31B. These conditions are characterized by refractory seizures and neurodevelopmental impairment, highlighting the protein's potential as a target for therapeutic intervention.

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