Results 221 to 230 of about 2,760,256 (386)

A bacteriophage T7 RNA polymerase/promoter system for controlled exclusive expression of specific genes.

open access: yesProceedings of the National Academy of Sciences of the United States of America, 1985
S. Tabor, C. Richardson
semanticscholar   +1 more source

A Smart Bio‐Battery Facilitates Diabetic Bone Defect Repair Via Inducing Macrophage Reprogramming and Synergistically Modulating Bone Remodeling Coupling

open access: yesAdvanced Functional Materials, EarlyView.
This research presents a novel implantable bio‐battery, GF‐OsG, tailored for diabetic bone repair. GF‐OsG generates microcurrents in high‐glucose conditions to enhance vascularization, shift macrophages to the M2 phenotype, and regulate immune responses.
Nanning Lv   +10 more
wiley   +1 more source

Deciphering the Impact of Temperature on Pleiotropic Consequences of RNA Polymerase Mutations. [PDF]

open access: yesMol Biol Evol
Ozbilek D   +5 more
europepmc   +1 more source

RNA polymerase I transcription is modulated by spatial learning in different brain regions [PDF]

open access: bronze, 2015
Fabrizio Capitano   +6 more
openalex   +1 more source

Integrative Approaches for DNA Sequence‐Controlled Functional Materials

open access: yesAdvanced Functional Materials, EarlyView.
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo   +4 more
wiley   +1 more source

Born to run: control of transcription elongation by RNA polymerase II

open access: yesNature reviews. Molecular cell biology, 2018
F. X. Chen   +2 more
semanticscholar   +1 more source

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

open access: yesAdvanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee   +17 more
wiley   +1 more source

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