AI-ACCELERATED DRUG DISCOVERY

Cytochrome P450 4A11

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Cytochrome P450 4A11 - 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 Cytochrome P450 4A11 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 Cytochrome P450 4A11 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 Cytochrome P450 4A11, 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 Cytochrome P450 4A11. 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 Cytochrome P450 4A11. 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 Cytochrome P450 4A11 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.

Cytochrome P450 4A11

partner:

Reaxense

upacc:

Q02928

UPID:

CP4AB_HUMAN

Alternative names:

20-hydroxyeicosatetraenoic acid synthase; CYP4AII; CYPIVA11; Cytochrome P-450HK-omega; Cytochrome P450HL-omega; Fatty acid omega-hydroxylase; Lauric acid omega-hydroxylase; Long-chain fatty acid omega-monooxygenase

Alternative UPACC:

Q02928; Q06766; Q16865; Q16866; Q5VSP8; Q86SU6; Q8IWY5

Background:

Cytochrome P450 4A11, known for its roles as 20-hydroxyeicosatetraenoic acid synthase, fatty acid omega-hydroxylase, and lauric acid omega-hydroxylase, is a pivotal enzyme in fatty acid metabolism. It catalyzes the omega-oxidation of saturated and unsaturated fatty acids, playing a crucial role in the metabolism of oxylipins. This enzyme's activity is essential for the conversion of fatty acids into signaling molecules, impacting various physiological processes.

Therapeutic significance:

Understanding the role of Cytochrome P450 4A11 could open doors to potential therapeutic strategies. Its involvement in the metabolism of fatty acids and the production of signaling molecules like 20-HETE, which influences arterial blood pressure, highlights its potential as a target for developing treatments for cardiovascular diseases.

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