AI-ACCELERATED DRUG DISCOVERY

Alkylated DNA repair protein alkB homolog 8

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Alkylated DNA repair protein alkB homolog 8 - 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 Alkylated DNA repair protein alkB homolog 8 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 Alkylated DNA repair protein alkB homolog 8 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 Alkylated DNA repair protein alkB homolog 8, 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 Alkylated DNA repair protein alkB homolog 8. 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 Alkylated DNA repair protein alkB homolog 8. 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 Alkylated DNA repair protein alkB homolog 8 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.

Alkylated DNA repair protein alkB homolog 8

partner:

Reaxense

upacc:

Q96BT7

UPID:

ALKB8_HUMAN

Alternative names:

Probable alpha-ketoglutarate-dependent dioxygenase ABH8; S-adenosyl-L-methionine-dependent tRNA methyltransferase ABH8; tRNA (carboxymethyluridine(34)-5-O)-methyltransferase ABH8

Alternative UPACC:

Q96BT7; B1Q2M0; B4DEF6; Q8N989

Background:

Alkylated DNA repair protein alkB homolog 8, also known as ABH8, plays a crucial role in the post-transcriptional modification of tRNA. It catalyzes the methylation and hydroxylation of 5-carboxymethyl uridine at the wobble position of the anticodon loop in tRNA, impacting protein synthesis and cellular response to DNA damage. ABH8 shows a preference for tRNA(Arg) and tRNA(Glu), and is essential for normal cell survival post-DNA damage.

Therapeutic significance:

ABH8's involvement in Intellectual developmental disorder, autosomal recessive 71, underscores its potential as a therapeutic target. Understanding ABH8's role could open doors to novel strategies for treating intellectual disabilities and enhancing DNA damage response.

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