AI-ACCELERATED DRUG DISCOVERY

Histone acetyltransferase KAT8

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Histone acetyltransferase KAT8 - 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 Histone acetyltransferase KAT8 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 Histone acetyltransferase KAT8 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 Histone acetyltransferase KAT8, 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 Histone acetyltransferase KAT8. 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 Histone acetyltransferase KAT8. 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 Histone acetyltransferase KAT8 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.

Histone acetyltransferase KAT8

partner:

Reaxense

upacc:

Q9H7Z6

UPID:

KAT8_HUMAN

Alternative names:

Lysine acetyltransferase 8; MOZ, YBF2/SAS3, SAS2 and TIP60 protein 1

Alternative UPACC:

Q9H7Z6; A8K4Z1; G5E9P2; Q659G0; Q7LC17; Q8IY59; Q8WYB4; Q8WZ14; Q9HAC5; Q9NR35

Background:

Histone acetyltransferase KAT8, also known as Lysine acetyltransferase 8, plays a pivotal role in transcriptional activation by acetylating nucleosomal histone H4. This modification, particularly at H4K16, is crucial for chromatin structure and function, influencing gene expression. KAT8's activity extends to non-histone targets, such as TP53, highlighting its versatile role in cellular processes.

Therapeutic significance:

KAT8's mutation is linked to Li-Ghorbani-Weisz-Hubshman syndrome, characterized by developmental delays, intellectual disability, and brain abnormalities. Understanding KAT8's function and its dysregulation offers a pathway to targeted therapies for this syndrome, emphasizing the protein's therapeutic potential.

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