AI-ACCELERATED DRUG DISCOVERY

Proprotein convertase subtilisin/kexin type 7

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Proprotein convertase subtilisin/kexin type 7 - Focused Library Design

Available from Reaxense

This protein is integrated into the Receptor.AI ecosystem as a prospective target with high therapeutic potential. We performed a comprehensive characterization of Proprotein convertase subtilisin/kexin type 7 including:

1. LLM-powered literature research

Our custom-tailored LLM extracted and formalized all relevant information about the protein from a large set of structured and unstructured data sources and stored it in the form of a Knowledge Graph. This comprehensive analysis allowed us to gain insight into Proprotein convertase subtilisin/kexin type 7 therapeutic significance, existing small molecule ligands, relevant off-targets, and protein-protein interactions.

 Fig. 1. Preliminary target research workflow

2. AI-Driven Conformational Ensemble Generation

Starting from the initial protein structure, we employed advanced AI algorithms to predict alternative functional states of Proprotein convertase subtilisin/kexin type 7, including large-scale conformational changes along "soft" collective coordinates. Through molecular simulations with AI-enhanced sampling and trajectory clustering, we explored the broad conformational space of the protein and identified its representative structures. Utilizing diffusion-based AI models and active learning AutoML, we generated a statistically robust ensemble of equilibrium protein conformations that capture the receptor's full dynamic behavior, providing a robust foundation for accurate structure-based drug design.

 Fig. 2. AI-powered molecular dynamics simulations workflow

3. Binding pockets identification and characterization

We employed the AI-based pocket prediction module to discover orthosteric, allosteric, hidden, and cryptic binding pockets on the protein’s surface. Our technique integrates the LLM-driven literature search and structure-aware ensemble-based pocket detection algorithm that utilizes previously established protein dynamics. Tentative pockets are then subject to AI scoring and ranking with simultaneous detection of false positives. In the final step, the AI model assesses the druggability of each pocket enabling a comprehensive selection of the most promising pockets for further targeting.

 Fig. 3. AI-based binding pocket detection workflow

4. AI-Powered Virtual Screening

Our ecosystem is equipped to perform AI-driven virtual screening on Proprotein convertase subtilisin/kexin type 7. With access to a vast chemical space and cutting-edge AI docking algorithms, we can rapidly and reliably predict the most promising, novel, diverse, potent, and safe small molecule ligands of Proprotein convertase subtilisin/kexin type 7. This approach allows us to achieve an excellent hit rate and to identify compounds ready for advanced lead discovery and optimization.

 Fig. 4. The screening workflow of Receptor.AI

Receptor.AI, in partnership with Reaxense, developed a next-generation technology for on-demand focused library design to enable extensive target exploration.

The focused library for Proprotein convertase subtilisin/kexin type 7 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.

Proprotein convertase subtilisin/kexin type 7

partner:

Reaxense

upacc:

Q16549

UPID:

PCSK7_HUMAN

Alternative names:

Lymphoma proprotein convertase; Prohormone convertase 7; Proprotein convertase 7; Proprotein convertase 8; Subtilisin/kexin-like protease PC7

Alternative UPACC:

Q16549; B0YJ60; Q3C1X1; Q53GM4; Q96FK8; Q9UL57

Background:

Proprotein convertase subtilisin/kexin type 7 (PCSK7), also known as Prohormone convertase 7, Proprotein convertase 7, and Subtilisin/kexin-like protease PC7, is a serine endoprotease. It plays a crucial role in the processing of various proproteins by cleavage at paired basic amino acids, specifically recognizing the RXXX[KR]R consensus motif. PCSK7 is likely involved in the constitutive secretory pathway, indicating its pivotal role in protein maturation and regulation.

Therapeutic significance:

Understanding the role of Proprotein convertase subtilisin/kexin type 7 could open doors to potential therapeutic strategies. Its involvement in the processing of proproteins suggests a fundamental role in cellular mechanisms, which, if modulated, could offer new avenues for treating diseases.

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