AI-ACCELERATED DRUG DISCOVERY

Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3 - 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 Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3 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 Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3 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 Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3, 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 Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3. 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 Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3. 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 Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3 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.

Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3

partner:

Reaxense

upacc:

O60568

UPID:

PLOD3_HUMAN

Alternative names:

-

Alternative UPACC:

O60568; B2R6W6; Q540C3

Background:

The Multifunctional procollagen lysine hydroxylase and glycosyltransferase LH3, encoded by the gene with accession number O60568, is a pivotal enzyme in collagen biosynthesis. It catalyzes essential post-translational modifications on lysine residues within procollagen, including hydroxylation and glycosylation, crucial for the structural integrity and function of collagens. Its activities facilitate the formation of hydroxylysine, galactosyl 5-hydroxylysine, and glucosylgalactosyl 5-hydroxylysine residues, integral to collagen maturation and secretion.

Therapeutic significance:

The enzyme's deficiency is linked to Bone fragility with contractures, arterial rupture, and deafness, a severe connective tissue disorder. This association underscores the enzyme's critical role in tissue integrity and highlights its potential as a target for therapeutic intervention in related diseases.

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