AI-ACCELERATED DRUG DISCOVERY

Nitric oxide synthase, inducible

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Nitric oxide synthase, inducible - 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 Nitric oxide synthase, inducible 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 Nitric oxide synthase, inducible 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 Nitric oxide synthase, inducible, 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 Nitric oxide synthase, inducible. 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 Nitric oxide synthase, inducible. 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 Nitric oxide synthase, inducible 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.

Nitric oxide synthase, inducible

partner:

Reaxense

upacc:

P35228

UPID:

NOS2_HUMAN

Alternative names:

Hepatocyte NOS; Inducible NO synthase; NOS type II; Peptidyl-cysteine S-nitrosylase NOS2

Alternative UPACC:

P35228; A1L3U5; B7ZLY2; O60757; O94994; Q16263; Q16692; Q4TTS5; Q9UD42

Background:

Nitric oxide synthase, inducible (NOS2), plays a pivotal role in producing nitric oxide (NO), a critical messenger molecule with diverse functions in the body. NOS2 is known for its tumoricidal and bactericidal actions in macrophages, nitrosylase activity, and involvement in cysteine S-nitrosylation of target proteins. It forms part of the iNOS-S100A8/9 complex, facilitating selective inflammatory stimulus-dependent S-nitrosylation of various proteins, thereby regulating their activity. NOS2's role in inflammation is underscored by its ability to enhance the synthesis of pro-inflammatory mediators such as IL6 and IL8.

Therapeutic significance:

Understanding the role of Nitric oxide synthase, inducible could open doors to potential therapeutic strategies, particularly in managing inflammatory conditions and targeting tumoricidal and bactericidal pathways.

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