Overall, this work demonstrates that rational mutagenesis can alter polyesterase activity against structurally distinct biodegradable polyesters, providing potential mechanistic insights to guide the development of specialized biocatalysts for targeted polyester degradation.
Konstantinos Makryniotis, Panagiota Karampa, M. Dimarogona et al.· Enzyme and Microbial Technol...· 0 citations
This study provides a resource for redefining precision-breeding paradigms by harnessing cryptic 3D chromatin targets by decoupling sequence-level from chromatin-level selection and shifting the subgenome expression balance of 39 homoeologs in cultivated cotton.
Xian-Hui Huang, Ya-Bing Peng, Xiu-Bao Hu et al.· Cell· 0 citations
Smart, programmable membrane-engineered nanosponges (ACNPs) displaying high-density ACE2 and encapsulating the viral entry inhibitor camostat enforces sequential recognition and endocytosis blockade, offering a deployable, non-invasive, universal strategy for early intervention against pan ACE2-dependent coronaviruses...
Ze Chen, Zhuo-Jun He, Hui-Min Guo et al.· Advancement of science· 0 citations
A mechanistic framework for the active regulation of SARS-CoV-2 RNA architecture is established and a multilayered host-virus regulatory axis that modulates viral genome heterogeneity is revealed.
Ya-Ting Zheng, Li-Yan Zhai, Jie Jin et al.· Advancement of science· 0 citations
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In Chinese patients with cirrhosis, lack of early clinical response to empiric antibiotics independently predicts short-term mortality and is associated with a higher risk of clinically distinct secondary infection.
This work identifies key sequence-level features predictive of intron retention in Tetrahymena and could provide a generalizable, explainable ML framework for investigating splicing regulation in other eukaryotes.
A. Mancini, E. Merelli, Marco Piangerelli et al.· Frontiers in Bioinformatics· 0 citations
Industrial biocatalytic applications are frequently constrained by poor recombinant enzyme solubility and limited functional recovery in conventional microbial expression systems. To address this challenge, we developed a baculovirus–insect cell whole-cell biocatalysis platform and evaluated its feasibility using N-ace...
Cheng‐Hsun Li, Hsiao-Ping Lee, Chia‐Yang Lin et al.· Journal of Biological Engine...· 0 citations
In recent years, the number of known protein structures has increased significantly. Predictive algorithms and experimental methods provide the global topology and fold of proteins with high accuracy. However, the local quality of the protein structures, including bond lengths, angles, and positions of individual atoms...
Ondřej Schindler, Tomáš Svoboda, Gabriela Bučeková et al.· Journal of Cheminformatics· 0 citations
Abstract The folding and assembly of nucleic acids are traditionally described in terms of intrinsic base pairing, stacking interactions, and topological constraints. However, in cellular environments, these energy landscapes are continuously reshaped by multivalent protein binding. In this chapter, we present a unifie...
Min‐Yeh Tsai· Energy Landscapes of Nucleic...· 0 citations
Abstract Copper is widely used as a fast-acting antimicrobial, yet the strategies that allow bacteria to survive copper stress remain incompletely understood. Here, we characterize the transcriptional responses of Escherichia coli MG1655 to excess ionic copper using RNA sequencing and a genome-wide GFP-based promoter l...
Hanna Ainelo, Karola Joearu, Andres Ainelo et al.· FEMS Microbes· 0 citations
Soybeans are essential for global agriculture as a major source of protein and oil, supporting food security, livestock feed, and renewable energy industries worldwide. Manipulating the light spectrum using LEDs presents a unique opportunity to optimize soybean growth in a controlled environment. In this study, we...
C. J. da-Silva, C. Collado, Jan van Butsele et al.· Annals of Applied Biology· 0 citations
The human c-Myc proto-oncogene is a transcription factor that regulates protein expression and is controlled by GC-rich regulatory sequences capable of adopting non-canonical DNA secondary structures. Here, we use the α-hemolysin (α-HL) protein nanopore to probe pH- and voltage-dependent effects on the stability of t...
Adina Cimpanu, Jonggwan Park, Yoonkyung Park et al.· Analytical Chemistry· 0 citations
A new machine-learning framework aims to improve the success rate of computational protein design while moving away from results that reproduce sequences found in nature.
