AI-ACCELERATED DRUG DISCOVERY

Acidic leucine-rich nuclear phosphoprotein 32 family member A

Explore its Potential with AI-Driven Innovation
Predicted by Alphafold

Acidic leucine-rich nuclear phosphoprotein 32 family member A - 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 Acidic leucine-rich nuclear phosphoprotein 32 family member A 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 Acidic leucine-rich nuclear phosphoprotein 32 family member A 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 Acidic leucine-rich nuclear phosphoprotein 32 family member A, 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 Acidic leucine-rich nuclear phosphoprotein 32 family member A. 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 Acidic leucine-rich nuclear phosphoprotein 32 family member A. 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 Acidic leucine-rich nuclear phosphoprotein 32 family member A 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.

Acidic leucine-rich nuclear phosphoprotein 32 family member A

partner:

Reaxense

upacc:

P39687

UPID:

AN32A_HUMAN

Alternative names:

Acidic nuclear phosphoprotein pp32; Leucine-rich acidic nuclear protein; Mapmodulin; Potent heat-stable protein phosphatase 2A inhibitor I1PP2A; Putative HLA-DR-associated protein I

Alternative UPACC:

P39687; B2R6T4; Q53FK4; Q5J8L8; Q7M4N6

Background:

Acidic leucine-rich nuclear phosphoprotein 32 family member A (ALNP32A) is a multifunctional protein involved in tumor suppression, apoptosis, cell cycle progression, and transcription. It promotes apoptosis through caspase-9 activation and apoptosome formation. ALNP32A also modulates histone acetylation and transcription, inhibiting the histone-acetyltransferase activity of EP300/CREBBP. It binds to unmodified histone H3, inhibiting its acetylation and phosphorylation, leading to cell growth inhibition. Additionally, it regulates mRNA nuclear-to-cytoplasmic translocation and stability, and plays a role in viral genome replication.

Therapeutic significance:

Understanding the role of Acidic leucine-rich nuclear phosphoprotein 32 family member A could open doors to potential therapeutic strategies.

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