AI-ACCELERATED DRUG DISCOVERY

DNA repair protein complementing XP-C cells

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

DNA repair protein complementing XP-C cells - 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 DNA repair protein complementing XP-C cells 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 DNA repair protein complementing XP-C cells 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 DNA repair protein complementing XP-C cells, 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 DNA repair protein complementing XP-C cells. 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 DNA repair protein complementing XP-C cells. 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 DNA repair protein complementing XP-C cells 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.

DNA repair protein complementing XP-C cells

partner:

Reaxense

upacc:

Q01831

UPID:

XPC_HUMAN

Alternative names:

Xeroderma pigmentosum group C-complementing protein; p125

Alternative UPACC:

Q01831; B4DIP3; E9PB96; E9PH69; Q53GT7; Q96AX0

Background:

The DNA repair protein complementing XP-C cells, also known as Xeroderma pigmentosum group C-complementing protein or p125, plays a pivotal role in global genome nucleotide excision repair (GG-NER). It acts as a damage sensing and DNA-binding factor within the XPC complex, crucial for detecting DNA helix distortions such as single-stranded loops and mismatched bubbles. Its ability to rapidly screen duplex DNA for non-hydrogen-bonded bases positions it as a dynamic sensor in the DNA damage response pathway.

Therapeutic significance:

Given its central role in DNA repair, the protein is directly implicated in Xeroderma pigmentosum complementation group C, a disorder marked by heightened skin cancer risk and solar hypersensitivity. Understanding the role of DNA repair protein complementing XP-C cells could open doors to potential therapeutic strategies, particularly in enhancing DNA repair mechanisms or developing targeted treatments for related skin conditions.

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