AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for AP-1 complex subunit sigma-1A

Available from Reaxense
Predicted by Alphafold

Focused On-demand Libraries - Reaxense Collaboration

Explore the Potential with AI-Driven Innovation

The specialised, focused library is developed on demand with the most recent virtual screening and parameter assessment technology, guided by the Receptor.AI drug discovery platform. This approach exceeds the capabilities of traditional methods and offers compounds with higher 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.

We employ our advanced, specialised process to create 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.

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

P61966

UPID:

AP1S1_HUMAN

Alternative names:

Adaptor protein complex AP-1 subunit sigma-1A; Adaptor-related protein complex 1 subunit sigma-1A; Clathrin assembly protein complex 1 sigma-1A small chain; Clathrin coat assembly protein AP19; Golgi adaptor HA1/AP1 adaptin sigma-1A subunit; HA1 19 kDa subunit; Sigma 1a subunit of AP-1 clathrin; Sigma-adaptin 1A; Sigma1A-adaptin

Alternative UPACC:

P61966; B2R5D8; P82267; Q00382; Q53YA7; Q9BTN4; Q9UDW9

Background:

The AP-1 complex subunit sigma-1A, known by various names such as Adaptor protein complex AP-1 subunit sigma-1A and Clathrin assembly protein complex 1 sigma-1A small chain, plays a crucial role in protein sorting within the late-Golgi/trans-Golgi network (TGN) and/or endosomes. This protein is integral to the recruitment of clathrin to membranes and the recognition of sorting signals within the cytosolic tails of transmembrane cargo molecules.

Therapeutic significance:

AP-1 complex subunit sigma-1A is implicated in MEDNIK syndrome, a disorder marked by a spectrum of symptoms including erythematous skin lesions, hyperkeratosis, and severe psychomotor retardation, among others. Understanding the role of AP-1 complex subunit sigma-1A could open doors to potential therapeutic strategies for this syndrome.

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