planar graphs
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2022 ◽  
Vol 345 (4) ◽  
pp. 112748
Author(s):  
Raiji Mukae ◽  
Kenta Ozeki ◽  
Terukazu Sano ◽  
Ryuji Tazume
Keyword(s):  

2022 ◽  
Vol 345 (4) ◽  
pp. 112790
Author(s):  
Xiangwen Li ◽  
Jian-Bo Lv ◽  
Mao Zhang
Keyword(s):  

2022 ◽  
Vol 418 ◽  
pp. 126843
Author(s):  
Yifan Pei ◽  
Yongxin Lan ◽  
Hua He
Keyword(s):  

2022 ◽  
Vol 345 (4) ◽  
pp. 112766
Author(s):  
Ming Chen ◽  
Lianying Miao ◽  
Shan Zhou
Keyword(s):  

2022 ◽  
Vol 345 (4) ◽  
pp. 112758
Author(s):  
Yingli Kang ◽  
Ligang Jin ◽  
Peipei Liu ◽  
Yingqian Wang
Keyword(s):  

Cells ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 272
Author(s):  
Éva S. Vanamee ◽  
Gábor Lippner ◽  
Denise L. Faustman

Here, we hypothesize that, in biological systems such as cell surface receptors that relay external signals, clustering leads to substantial improvements in signaling efficiency. Representing cooperative signaling networks as planar graphs and applying Euler’s polyhedron formula, we can show that clustering may result in an up to a 200% boost in signaling amplitude dictated solely by the size and geometry of the network. This is a fundamental relationship that applies to all clustered systems regardless of its components. Nature has figured out a way to maximize the signaling amplitude in receptors that relay weak external signals. In addition, in cell-to-cell interactions, clustering both receptors and ligands may result in maximum efficiency and synchronization. The importance of clustering geometry in signaling efficiency goes beyond biological systems and can inform the design of amplifiers in nonbiological systems.


2022 ◽  
Vol 26 (1) ◽  
pp. 59-73
Author(s):  
Therese Biedl
Keyword(s):  

2022 ◽  
pp. 2085-2127
Author(s):  
Dániel Marx ◽  
Pranabendu Misra ◽  
Daniel Neuen ◽  
Prafullkumar Tale

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