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DIGITAL.CSIC
Dataset . 2022 . Peer-reviewed
Data sources: DIGITAL.CSIC
DIGITAL.CSIC
Dataset . 2022
License: CC BY NC ND
Data sources: Datacite
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Amplitude_results_figs_4_5 [Dataset] of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures

Authors: Ginsbach, Laura F.; González Grau, Juan Miguel;

Amplitude_results_figs_4_5 [Dataset] of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures

Abstract

Figure 4. Amplitude and average of the molecular tunnel dimensions, length (A, D, G), surface (B, E, H) and volume (C, F, I) (in Å), predicted for the methyl-CoM reductase (Mmr) gene subunits, alpha (A, B, C), beta (D, E, F) and gamma (G, H, I) from methanogenic Archaea classified in three classes of optimum growth temperature (80ºC). Grey bars correspond to the amplitude of data observed for estimates of the molecular tunnel dimensions. Red squares represent the average dimensions for each Figure 5. Amplitude and average of the molecular tunnel dimensions, length (A, D, G), surface (B, E, H) and volume (C, F, I) (in Å), predicted for the heterodisulfide reductas (Hdr) gene subunits, A (A, B, C), B (D, E, F) and C (G, H, I) from methanogenic Archaea classified in three classes of optimum growth temperature (80ºC). Grey bars correspond to the amplitude of data observed for estimates of the molecular tunnel dimensions. Red squares represent the average dimensions for each growth temperature class. Error bars for the average values represent a standard deviation.

Los datos pertenecen al trabajo Ginsbach, Laura F.; González Grau, Juan Miguel: of Understanding life at high temperatures. Relationships of molecular channels in enzymes of methanogenic Archaea and their growth temperatures

This is funding from the Ministry of Science and Innovation, project EQC2019-005634-P (cofunded by FEDER) and PID2020-119373GB-I00.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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