AI-ACCELERATED DRUG DISCOVERY

Focused On-demand Library for Signal recognition particle subunit SRP72

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.

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.

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.

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

O76094

UPID:

SRP72_HUMAN

Alternative names:

Signal recognition particle 72 kDa protein

Alternative UPACC:

O76094; G5E9Z8; Q7Z3C0

Background:

The Signal Recognition Particle Subunit SRP72, a 72 kDa protein, plays a pivotal role in the signal recognition particle (SRP) complex. This complex is essential for the cotranslational targeting of secretory and membrane proteins to the endoplasmic reticulum (ER), ensuring proper protein folding and functionality. SRP72 binds the signal recognition particle RNA (7SL RNA) in the presence of SRP68, showcasing its critical role in protein translocation and cellular homeostasis.

Therapeutic significance:

Given its fundamental role in protein targeting and translocation, SRP72's dysfunction is linked to Bone Marrow Failure Syndrome 1, characterized by aplastic anemia and myelodysplasia. Understanding the role of Signal Recognition Particle Subunit SRP72 could open doors to potential therapeutic strategies for treating this autosomal dominant disease.

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