AI-ACCELERATED DRUG DISCOVERY

E3 ubiquitin-protein ligase TRIM37

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

E3 ubiquitin-protein ligase TRIM37 - 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 E3 ubiquitin-protein ligase TRIM37 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 E3 ubiquitin-protein ligase TRIM37 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 E3 ubiquitin-protein ligase TRIM37, 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 E3 ubiquitin-protein ligase TRIM37. 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 E3 ubiquitin-protein ligase TRIM37. 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 E3 ubiquitin-protein ligase TRIM37 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.

E3 ubiquitin-protein ligase TRIM37

partner:

Reaxense

upacc:

O94972

UPID:

TRI37_HUMAN

Alternative names:

Mulibrey nanism protein; RING-type E3 ubiquitin transferase TRIM37; Tripartite motif-containing protein 37

Alternative UPACC:

O94972; A8K0V9; A8K8U4; A8MZ79; B4DGZ3; F8WEE6; Q7Z3E6; Q8IYF7; Q8WYF7

Background:

E3 ubiquitin-protein ligase TRIM37, also known as Mulibrey nanism protein, plays a crucial role in cellular processes including preventing centriole reduplication, mediating transcriptional repression through histone H2A monoubiquitination, and enhancing peroxisome import by stabilizing PEX5. Its anti-HIV activity further underscores its biological significance.

Therapeutic significance:

Linked to Mulibrey nanism, a growth disorder with severe clinical manifestations, TRIM37's genetic variants underscore its therapeutic potential. Understanding TRIM37's role could open doors to innovative treatments for Mulibrey nanism and related conditions.

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