98%
921
2 minutes
20
The circadian system-an organism's built-in biological clock-is responsible for orchestrating biological processes to adapt to diurnal and seasonal variations. Perturbations to the circadian system (e.g., pathogen attack, sudden environmental change) often result in pathophysiological responses (e.g., jetlag in humans, stunted growth in plants, etc.) In view of this, synthetic biologists are progressively adapting the idea of employing synthetic feedback control circuits to alleviate the effects of perturbations on circadian systems. To facilitate the design of such controllers, suitable models are required. Here, we extend our recently developed model for the plant circadian clock-termed the extended S-System model-to model circadian systems across different kingdoms of life. We then use this modeling strategy to develop a design framework, based on an antithetic integral feedback (AIF) controller, to restore a gene's circadian profile when it is subject to loss-of-function due to external perturbations. The use of the AIF controller is motivated by its recent successful experimental implementation. Our findings provide circadian biologists with a systematic and general modeling and design approach for implementing synthetic feedback control of circadian systems.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8847486 | PMC |
http://dx.doi.org/10.1038/s41540-022-00216-x | DOI Listing |
Disabil Rehabil Assist Technol
September 2025
School of Foreign Languages, Ningbo University of Technology, Ningbo, China.
The speech and language rehabilitation are essential to people who have disorders of communication that may occur due to the condition of neurological disorder, developmental delays, or bodily disabilities. With the advent of deep learning, we introduce an improved multimodal rehabilitation pipeline that incorporates audio, video, and text information in order to provide patient-tailored therapy that adapts to the patient. The technique uses a cross-attention fusion multimodal hierarchical transformer architectural model that allows it to jointly design speech acoustics as well as the facial dynamics, lip articulation, and linguistic context.
View Article and Find Full Text PDFNucleic Acids Res
August 2025
Sorbonne Université, CNRS, Department of Computational, Quantitative and Synthetic Biology-CQSB, 75005 Paris, France.
Generative probabilistic models have shown promise in designing artificial RNA and protein sequences but often suffer from high rates of false positives, where sequences predicted as functional fail experimental validation. To address this critical limitation, we explore the impact of reintegrating experimental feedback into the model design process. We propose a likelihood-based reintegration scheme, which we test through extensive computational experiments on both RNA and protein datasets, as well as through wet-lab experiments on the self-splicing ribozyme from the Group I intron RNA family where our approach demonstrates particular efficacy.
View Article and Find Full Text PDFChem Bio Eng
August 2025
Center for Cell and Gene Circuit Design, CAS Key Laboratory of Quantitative Synthetic Biology, Shenzhen Institute of Synthetic Biology, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Influenza remains a highly contagious respiratory disease with profound global health and economic implications. Although traditional vaccines, including inactivated influenza vaccines (IIVs), live attenuated influenza vaccines (LAIVs), and recombinant subunit influenza vaccines (RIVs), are widely available, their efficacy against emerging viral strains is often limited. This limitation underscores the urgent need for novel vaccine strategies.
View Article and Find Full Text PDFComput Struct Biotechnol J
August 2025
Department of Obstetrics, Gynecology and Reproductive Medicine, Foch Hospital, Suresnes, France.
Background: The dynamic interplay of ovarian hormones is central to reproductive physiology, yet the complexity of their cyclic variations poses challenges for analysis, simulation, and teaching. This study presents a framework for generating physiologically constrained, multi-hormone synthetic time series that capture intra- and inter-individual variability across phenotypes.
Methods: We developed a semi-mechanistic mathematical framework to generate synthetic multi-hormone profiles (estradiol, FSH, LH, AMH, testosterone, GnRH) using parametric equations embedding known physiological feedbacks (e.
Chem
August 2025
Advanced Research Centre, University of Glasgow, 11 Chapel Lane, Glasgow G11 6EW, UK.
The assembly of molecular nanomachines using atomically precise manipulations promises to enable nanotechnology with unprecedented architectural features and exquisite functional properties. However, this future is critically limited by the ability to autonomously manufacture nanomachines, with current efforts being heavily labor intensive. A system is needed to program and assemble matter under digital control, unifying molecular nanotechnology and macroscale chemical processes.
View Article and Find Full Text PDF