Zobrazeno 1 - 10
of 496
pro vyhledávání: '"Yuhai, Tu"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract The Escherichia coli chemoreceptors form an extensive array that achieves cooperative and adaptive sensing of extracellular signals. The receptors control the activity of histidine kinase CheA, which drives a nonequilibrium phosphorylation-d
Externí odkaz:
https://doaj.org/article/22e808d246774e0892eb0968f29fbe0b
Autor:
Xu Han, Dongliang Zhang, Lu Hong, Daqi Yu, Zhaolong Wu, Tian Yang, Michael Rust, Yuhai Tu, Qi Ouyang
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-11 (2023)
Abstract Biological processes are typically actuated by dynamic multi-subunit molecular complexes. However, interactions between subunits, which govern the functions of these complexes, are hard to measure directly. Here, we develop a general approac
Externí odkaz:
https://doaj.org/article/cd37a6687ca9499b982a7ec98d097bb6
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-9 (2022)
Combining experiments with modeling, Wadhwa et al. propose a model for mechano-adaptation in the bacterial flagellar motor, finding that load-dependent transitions between multiple internal states govern the binding and unbinding of subunits.
Externí odkaz:
https://doaj.org/article/bde5ef9921724f5494055edae6262cfd
Publikováno v:
Physical Review X, Vol 13, Iss 4, p 041004 (2023)
Generative adversarial networks (GANs) are a class of machine-learning models that use adversarial training to generate new samples with the same (potentially very complex) statistics as the training samples. One major form of training failure, known
Externí odkaz:
https://doaj.org/article/e7b014f0ee48490dbc72717d07b041be
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 5/21/2024, Vol. 121 Issue 21, p1-9, 23p
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
Networks are useful ways to describe interactions between molecules in a cell, but predicting the real topology of large networks can be challenging. Here, the authors use deep learning to predict the topology of networks that perform biologically-pl
Externí odkaz:
https://doaj.org/article/8d4a9caf655a48a7a4ae61cbbeee9d44
Autor:
Levine, Herbert, Yuhai Tu
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America; 7/2/2024, Vol. 121 Issue 27, p1-9, 9p
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
In this article, we develop a mathematical model for the rotary bacterial flagellar motor (BFM) based on the recently discovered structure of the stator complex (MotA5MotB2). The structure suggested that the stator also rotates. The BFM is modeled as
Externí odkaz:
https://doaj.org/article/3fabf174979d43c58309b090b6516a74
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-10 (2020)
Bacterial chemoreceptors have multiple methylation sites, but whether the order of methylation matters is unclear. Here, the authors show that sequentially ordered methylation is critical for perfect adaptation and for attenuating the trade-off betwe
Externí odkaz:
https://doaj.org/article/b2276006704844bcbbc28291af6c48e2
Publikováno v:
Frontiers in Computational Neuroscience, Vol 15 (2021)
In Drosophila, olfactory information received by olfactory receptor neurons (ORNs) is first processed by an incoherent feed forward neural circuit in the antennal lobe (AL) that consists of ORNs (input), inhibitory local neurons (LNs), and projection
Externí odkaz:
https://doaj.org/article/d5bb910f6d8c45058a22217b962646d1