Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Augusto Cesar Poot‐Hernández"'
Autor:
Pedro Escobar-Turriza, Rafael Hernandez-Guerrero, Augusto Cesar Poot-Hernández, Katya Rodríguez-Vázquez, Jorge Ramírez-Prado, Ernesto Pérez-Rueda
Publikováno v:
PLoS ONE, Vol 14, Iss 5, p e0217083 (2019)
In order to identify common and specific enzymatic activities associated with the metabolism of the three cellular domains of life, the conservation and variations between the enzyme contents of Bacteria, Archaea, and Eukarya organisms were evaluated
Externí odkaz:
https://doaj.org/article/eea20835b92e4ebf91f3beb293b92e41
Autor:
Valerie De Anda, Icoquih Zapata-Peñasco, Jazmín Blaz, Augusto Cesar Poot-Hernández, Bruno Contreras-Moreira, Marcos González-Laffitte, Niza Gámez-Tamariz, Maribel Hernández-Rosales, Luis E. Eguiarte, Valeria Souza
Publikováno v:
Frontiers in Microbiology, Vol 9 (2018)
To date, it remains unclear how anthropogenic perturbations influence the dynamics of microbial communities, what general patterns arise in response to disturbance, and whether it is possible to predict them. Here, we suggest the use of microbial mat
Externí odkaz:
https://doaj.org/article/6e16ac922b8d4cd4ac43f4a5b4e877e2
Autor:
Lizbeth Ramírez‐Vidal, Tonatiuh Molina‐Villa, Valentín Mendoza, Carlos Alberto Peralta‐Álvarez, Augusto Cesar Poot‐Hernández, Dobromir Dotov, Fernando López‐Casillas
Publikováno v:
Developmental Dynamics.
Publikováno v:
MethodsX, Vol 10, Iss , Pp 102118- (2023)
An easy and fast strategy to compare functionally the metabolic maps is described. The KEGG metabolic maps are transformed into linear Enzymatic Step Sequences (ESS) using the Breadth First Search (BFS) algorithm. To do this, the KGML files are retri
Externí odkaz:
https://doaj.org/article/f039a192681c48beb03c802594e40a82
Autor:
Mario Alberto Martínez-Núñez, Augusto Cesar Poot-Hernandez, Katya Rodríguez-Vázquez, Ernesto Perez-Rueda
Publikováno v:
PLoS ONE, Vol 8, Iss 7, p e69707 (2013)
In this work, the content of enzymes and DNA-binding transcription factors (TFs) in 794 non-redundant prokaryotic genomes was evaluated. The identification of enzymes was based on annotations deposited in the KEGG database as well as in databases of
Externí odkaz:
https://doaj.org/article/f702fa660b2047ebbef67eb4f3bccb78