Skip to content

Author

Yajie Wang

We have 4 of 13 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access Aug 2026

Evolutionary Adaptation and Targeted Metabolic Engineering Synergistically Improve Methanol‐Derived Single‐Cell Protein Production in Pichia pastoris

Methanol is a promising renewable C1 feedstock for sustainable single‐cell protein (SCP) production. However, its inherent cytotoxicity and metabolic trade‐offs between cell growth and protein synthesis remain significant bottlenecks. Here, we established an “evolutionary‐rational” dual‐driven paradigm to construct a h...

Chong Xie, Cheng-Chao Zhu, Jun-Ze Liu et al. · 0 citations
#protein folding Open access Sep 2026

Programmable design of functional proteins from natural language

Pinal, a 16-billion-parameter foundation model that produces protein candidates from natural-language functional descriptions, supports natural language as a high-level interface for candidate generation in protein design, enabling programmable exploration with reduced reliance on manually specified structural or seque...

Fengyuan Dai, Shiyang You, Yudian Zhu et al. · 31 citations · ⚡3
Aug 2026

Valorizing Non-Food Carbon Sources: Discovery and Characterization of a Cyberlindnera jadinii for Single-Cell Protein Synthesis

This GRAS-certified platform establishes a highly efficient and economically viable route for the sustainable production of high-value SCP from non-food substrates, and validate a circular bioeconomy model by converting electrochemically synthesized 13C-labeled acetate into SCP.

Wei Zhong, Chong Xie, Kuan Chen et al. · 0 citations
#protein folding Open access Aug 2026

Deep Learning‐Driven Discovery and Engineering of an Efficient PETase for Depolymerization and Detoxification of PET Microplastics Under Physiological Conditions

ABSTRACT Microplastics (MPs) accumulation in ecosystem and human organs poses urgent environmental and health risks, yet few enzymes efficiently degrade polyethylene terephthalate (PET) under physiological conditions. We leveraged deep learning to mine unexplored sequence space across 246 million proteins, discovering...

Yuxuan Wang, Shijie He, Yuheng Chang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.