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The construction of complex systems by simple chemicals that can display emergent network dynamics might contribute to our understanding of complex behavior from simple organic reactions. Here we design single amino acid/dipeptide-based systems that exhibit multiple periodic changes of (dis)assembly under non-equilibrium conditions in closed system, importantly in the absence of evolved biocatalysts. The two-component based building block exploits pH driven non-covalent assembly and time-delayed accelerated catalysis from self-assembled state to install orthogonal feedback loops with a single batch of reactants. Mathematical modelling of the reaction network establishes that the oscillations are transient for this network structure and helps to predict the relative contribution of the feedback loop to the ability of the system to exhibit such transient oscillation. Such autonomous systems with purely synthetic molecules are the starting point that can enable the design of active materials with emergent properties.
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http://dx.doi.org/10.1038/s41467-024-54197-y | DOI Listing |
J Chem Phys
September 2025
Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
We study how protein condensates respond to a site of active RNA transcription (i.e., a gene promoter) due to electrostatic protein-RNA interactions.
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National Heart Center Singapore, Singapore, Singapore.
Cardiovascular diseases are increasingly recognized as chronic disorders driven by a complex interplay between inflammation and fibrosis. In this review, we elucidate emerging mechanisms that govern the transition from acute inflammation to pathological fibrosis, with particular focus on cellular crosstalk between neutrophils, macrophages, fibroblasts, and myofibroblasts. We explore how dysregulated immune responses and extracellular matrix (ECM) remodeling sustain a pathogenic feedback loop, promoting myocardial stiffening and adverse cardiac remodeling.
View Article and Find Full Text PDFJB JS Open Access
September 2025
Department of Orthopedics and Rehabilitation, University of Iowa, Iowa City, Iowa.
Introduction: Modern orthopaedic residency training increasingly integrates knowledge, skills, and behavior (KSB), in line with updated American Board of Orthopaedic Surgery (ABOS) and Accreditation Council for Graduate Medical Education (ACGME) guidelines. Developments in simulation technology-including high-fidelity simulators, virtual reality, and data-driven assessment tools-enable programs to target both technical and non-technical competencies. This paper examines how innovations in simulation, curriculum design, and performance assessment are shaping the future of orthopaedic education.
View Article and Find Full Text PDFJ Obes Metab Syndr
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Department of Medicine, College of Medicine, Kyung Hee University, Seoul, Korea.
Although the prevalence of obesity is increasing worldwide, related treatment remains a complex challenge that requires multidimensional approaches. Recent advancements in artificial intelligence (AI) have led to the development of multimodal methods capable of integrating diverse types of data. These AI approaches utilize both multimodal data integration and multidimensional feature representations, enabling personalized, data-driven strategies for obesity management.
View Article and Find Full Text PDFIntegr Comp Biol
September 2025
Department of Natural Sciences, Metropolitan State University, St Paul, MN 55105.
The pandemic-driven shift to online learning necessitated a re-evaluation of traditional exams, revealing their limitations in fostering essential scientific skills and potentially disadvantaging some students. This paper presents sketchnoting, a visual note-taking method, as an authentic alternative assessment. By integrating scientific concepts, peer review, and graphical literacy, this approach aimed to cultivate skills like critical thinking and communication while assessing content.
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