Results 161 to 170 of about 186,627 (254)

Transcription Factor Promiscuity Drives Regulatory Rewiring and Evolvability in Gene Networks in Bacteria

open access: yesAdvanced Science, EarlyView.
When a master transcription factor (TF) is lost, bacteria can rapidly rewire gene regulatory networks by co‐opting related regulators. Using experimental evolution in Pseudomonas fluorescens, we show that TF promiscuity (low‐level, non‐cognate binding) provides the raw material for rewiring. Successful co‐option follows a predictable hierarchy governed
Tiffany B. Taylor, Alan M. Rice
wiley   +1 more source

Smart Grids and Virtual Power Plants [PDF]

open access: yes, 2012
Sănduleac, Mihai
core  

Deformation Driven Suction Cups: A Mechanics‐Based Approach to Wearable Electronics

open access: yesAdvanced Science, EarlyView.
Deformation‐driven suction cups enable robust, reversible adhesion of wearable electronics to human skin spanning wide mechanical compliance, without adhesives or tight straps. By integrating mechanics modeling, experiments, and contact mechanics theory, this work reveals how cup geometry, substrate compliance, and interfacial adhesion govern suction ...
Seola Lee   +10 more
wiley   +1 more source

Development and Structural Characterization of UTE‐156, a Covalent Inhibitor of the VCP/p97 AAA+ ATPase

open access: yesAdvanced Science, EarlyView.
The AAA+ ATPase Valosin‐containing protein (VCP/p97) regulates protein homeostasis by unfolding ubiquitinated substrates. Here, we describe UTE‐156, a novel irreversible covalent inhibitor that modifies Cys522 in the D2 ATPase motor domain. Although its pharmacochemical limitations preclude immediate therapeutic use, UTE‐156 serves as a valuable ...
Daniela Tamayo‐Jaramillo   +8 more
wiley   +1 more source

Spintronic Bayesian Hardware Driven by Stochastic Magnetic Domain Wall Dynamics

open access: yesAdvanced Science, EarlyView.
Magnetic Probabilistic Computing (MPC) utilizes intrinsic stochastic dynamics in domain walls to establish a hardware foundation for uncertainty‐aware artificial intelligence. Thermally driven domain‐wall fluctuations, voltage‐controlled magnetic anisotropy, and TMR readout enable fully electrical, tunable probabilistic inference.
Tianyi Wang   +11 more
wiley   +1 more source

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