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Metabolic Comparison and Molecular Networking of Antimicrobials in Streptomyces Species. [PDF]
Thapa BB +9 more
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Innovative molecular networking analysis of steroids and characterisation of the urinary steroidome. [PDF]
Chen T +5 more
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Integrative metabolomics and molecular networking reveal metabolic rewiring in Tartary buckwheat sprouts under moderate hydrostatic pressure. [PDF]
Zhang L +6 more
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Reaping the Chemical Diversity of Morinagamyces vermicularis Using Feature-Based Molecular Networking. [PDF]
Harms K +4 more
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Identifying sesterterpenoids via feature-based molecular networking and small-scale fermentation. [PDF]
Lv K +13 more
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Nature Biotechnology, 2015
Network biology is beginning to tackle the complexities of multicellular systems and disease associations.
Andrew M, Gross, Trey, Ideker
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Network biology is beginning to tackle the complexities of multicellular systems and disease associations.
Andrew M, Gross, Trey, Ideker
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Self-organizing molecular networks
Biophysical Chemistry, 1998Strong diffusional mixing and short delivery times typical for micrometer and sub-micrometer reaction volumes lead to a special situation where the turnover times of individual enzyme molecules become the largest characteristic time scale of the chemical kinetics. Under these conditions, populations of cross-regulating allosteric enzymes form molecular
Stange, P. +3 more
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Molecular Characterization of Polymer Networks
Chemical Reviews, 2021Polymer networks are complex systems consisting of molecular components. Whereas the properties of the individual components are typically well understood by most chemists, translating that chemical insight into polymer networks themselves is limited by the statistical and poorly defined nature of network structures.
Scott P. O. Danielsen +16 more
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[1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2005
It is well-known that the computing power of natural and artificial neural networks arises from massive parallelism of simple "computing elements" [l]. Both natural neural networks and future molecular devices are "analog" computers subject to inaccuracies and some randomness, in contrast to present digital simulations.
H.M. Hastings, T.W. Siegel
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It is well-known that the computing power of natural and artificial neural networks arises from massive parallelism of simple "computing elements" [l]. Both natural neural networks and future molecular devices are "analog" computers subject to inaccuracies and some randomness, in contrast to present digital simulations.
H.M. Hastings, T.W. Siegel
openaire +1 more source

