AI-ACCELERATED DRUG DISCOVERY

EGF domain-specific O-linked N-acetylglucosamine transferase

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

EGF domain-specific O-linked N-acetylglucosamine transferase - 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 EGF domain-specific O-linked N-acetylglucosamine transferase 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 EGF domain-specific O-linked N-acetylglucosamine transferase 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 EGF domain-specific O-linked N-acetylglucosamine transferase, 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 EGF domain-specific O-linked N-acetylglucosamine transferase. 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 EGF domain-specific O-linked N-acetylglucosamine transferase. 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 EGF domain-specific O-linked N-acetylglucosamine transferase 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.

EGF domain-specific O-linked N-acetylglucosamine transferase

partner:

Reaxense

upacc:

Q5NDL2

UPID:

EOGT_HUMAN

Alternative names:

Extracellular O-linked N-acetylglucosamine transferase

Alternative UPACC:

Q5NDL2; A8K2U1; B4DFH5; L7X1M5; Q6MZY0; Q6P985; Q6ZTV0

Background:

The EGF domain-specific O-linked N-acetylglucosamine transferase, also known as Extracellular O-linked N-acetylglucosamine transferase, plays a pivotal role in protein modification. It catalyzes the transfer of N-acetylglucosamine to serine or threonine residues in extracellular proteins, enhancing their function through O-GlcNAc linkage. This modification occurs specifically between the fifth and sixth conserved cysteines of folded EGF-like domains.

Therapeutic significance:

Linked to Adams-Oliver syndrome 4, a condition marked by congenital skin absence and limb defects, this protein's gene variants highlight its critical role in human health. Understanding the role of EGF domain-specific O-linked N-acetylglucosamine transferase could open doors to potential therapeutic strategies for managing and treating this syndrome.

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