AI-ACCELERATED DRUG DISCOVERY

N-acetylneuraminate lyase

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

N-acetylneuraminate lyase - 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 N-acetylneuraminate lyase 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 N-acetylneuraminate lyase 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 N-acetylneuraminate lyase, 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 N-acetylneuraminate lyase. 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 N-acetylneuraminate lyase. 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 N-acetylneuraminate lyase 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.

N-acetylneuraminate lyase

partner:

Reaxense

upacc:

Q9BXD5

UPID:

NPL_HUMAN

Alternative names:

N-acetylneuraminate pyruvate-lyase; N-acetylneuraminic acid aldolase; Sialate lyase; Sialate-pyruvate lyase; Sialic acid aldolase; Sialic acid lyase

Alternative UPACC:

Q9BXD5; B2R839; Q4G0Q8; Q4G0Z2; Q64L88; Q6PEL0

Background:

N-acetylneuraminate lyase, known by alternative names such as N-acetylneuraminic acid aldolase and Sialic acid lyase, plays a crucial role in the metabolism of sialic acids. It catalyzes the cleavage of N-acetylneuraminic acid to form pyruvate and N-acetylmannosamine, a key step in preventing the recycling of sialic acids back to the cell surface. This enzyme is also involved in the degradation pathway of N-glycolylneuraminic acid (Neu5Gc), a sialic acid derivative not synthesized in humans but present in dietary sources.

Therapeutic significance:

Understanding the role of N-acetylneuraminate lyase could open doors to potential therapeutic strategies, especially considering its involvement in the metabolism of dietary Neu5Gc, which is foreign to the human body.

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