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Ziqi Wang

3 papers in the library · publishing 2022-2026

Papers

Calcium activation mechanism of a noncanonical aromatic L-amino acid decarboxylase from psilocybin mushroom Psilocybe cubensis

Communications Biology February 26, 2026 Tianjie Li, Erin. E. Reynolds, Ziqi Wang et al.

A fungal enzyme called PcncAAAD, which decarboxylates aromatic amino acids, is activated by calcium through two metal-binding sites. The primary activation site (site A) lies between the N-terminal domain and a unique C-terminal appendage; binding calcium there stabilizes a 'lid-rim' structure that preserves the substrate-binding pocket. A secondary site (site B) within the C-terminal domain helps stabilize the enzyme's overall structure. Computer simulations and lab tests show that disrupting site A or the lid-rim severely distorts the active site and reduces or eliminates activity. Sodium does not activate the enzyme. The work clarifies how calcium activates this enzyme and may guide engineering of similar enzymes for making aromatic amino acid derivatives.

Calcium Activation Mechanism of a Noncanonical Aromatic L-Amino Acid Decarboxylase from Psilocybin Mushroom

Research Square April 28, 2025 Yi Wang, Tianjie Li, Erin S. Reynolds et al.

An enzyme called PcncAAAD, a noncanonical aromatic L-amino acid decarboxylase, is activated by calcium through a specific mechanism. Using computer simulations and lab experiments, researchers identified two calcium-binding sites: site A, at the junction of two enzyme domains, primarily drives activation, while site B within a unique tail domain stabilizes the enzyme's structure. Calcium binding at site A stabilizes a 'lid-rim' structure that maintains the substrate-binding pocket. Mutations disrupting site A or this lid-rim severely distort the active site and reduce or eliminate enzyme activity. These findings clarify how calcium activates this enzyme and may aid in designing enzymes to produce aromatic amino acid derivatives.

Forgetting the Bicentennial Man: Discussing Why Anthropocentric Frameworks of Consciousness Should be Avoided for Artificial Entities

Journal of Artificial Intelligence and Consciousness December 1, 2022 Izak Tait, Ziqi Wang, Tahua O’Leary et al.

Existing theories of consciousness applied to artificial intelligence are anthropocentric, even those designed for AI, because they rely on human and animal models. This paper argues that such frameworks are built on insecure foundations by comparing human and AI cognitive architectures, examining the consequences of their behaviors, and exploring human neurological conditions that may hint at what a conscious AI could be. It concludes by proposing a non-anthropocentric foundation for cognition that could lead to a truly AI-focused framework of consciousness.