Zobrazeno 1 - 10
of 301
pro vyhledávání: '"Amino acid replacement"'
Autor:
Yokoyama, Shozo, Yokoyama, Ruth
Publikováno v:
Annual Review of Ecology and Systematics, 1996 Jan 01. 27, 543-567.
Externí odkaz:
https://www.jstor.org/stable/2097245
Autor:
Stefano Murtas, Roberto Aquilani, Gianmarco Fiori, Roberto Maestri, Paolo Iadarola, Cristina Graccione, Rita Contu, Maria Luisa Deiana, Fabrizio Macis, Romina Secci, Antonella Serra, Mariella Cadeddu, Maura D’Amato, Paola Putzu, Mirella Marongiu, Piergiorgio Bolasco
Publikováno v:
Nutrients; Volume 14; Issue 17; Pages: 3492
(1) Background: Chronic Kidney Disease (CKD) induces metabolic derangement of amino acid (AA) kinetics, eliciting severe damage to the protein anabolism. This damage is further intensified by a significant loss of AAs through hemodialysis (HD), affec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f15b9a136312fbb7a199ab39ff5e019
https://pubmed.ncbi.nlm.nih.gov/36079750
https://pubmed.ncbi.nlm.nih.gov/36079750
Publikováno v:
Expert Opinion on Drug Discovery. 16:1467-1482
Introduction: To discover and develop a peptide, protein, or antibody into a drug requires overcoming multiple challenges to obtain desired properties. Proteolytic stability is one of the challenge...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57c635f90f1492fc3bd27b46befaff4f
https://doi.org/10.1080/17460441.2021.1942837
https://doi.org/10.1080/17460441.2021.1942837
Autor:
Victoria Isabel Martín, Alberto Jiménez, David Díaz-Fernández, José L. Revuelta, Gloria Muñoz-Fernández
Publikováno v:
Journal of Industrial Microbiology & Biotechnology
GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname
GREDOS. Repositorio Institucional de la Universidad de Salamanca
instname
The co-utilization of mixed (pentose/hexose) sugars constitutes a challenge for microbial fermentations. The fungus Ashbya gossypii, which is currently exploited for the industrial production of riboflavin, has been presented as an efficient biocatal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0559dde7abdf4f0a354fb6922b8ff4f
http://europepmc.org/articles/PMC7728639
http://europepmc.org/articles/PMC7728639
Publikováno v:
Molecular Biology and Evolution
Molecular Biology and Evolution, 2020, 37, pp.3616-3631. ⟨10.1093/molbev/msaa145⟩
Molecular Biology and Evolution, 2020, 37, pp.3616-3631. ⟨10.1093/molbev/msaa145⟩
Biochemical demands constrain the range of amino acids acceptable at specific sites resulting in across-site compositional heterogeneity of the amino acid replacement process. Phylogenetic models that disregard this heterogeneity are prone to systema
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cd3d22857a9b205492a6e8348336fd9
http://europepmc.org/articles/PMC7743758
http://europepmc.org/articles/PMC7743758
Publikováno v:
Philosophical Transactions: Biological Sciences, 2008 Dec . 363(1512), 3965-3976.
Externí odkaz:
https://www.jstor.org/stable/20208854
Akademický článek
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Publikováno v:
Journal of peptide science : an official publication of the European Peptide SocietyREFERENCES. 27(11)
The p28 peptide derived from Pseudomonas aeruginosa azurin shows an anticancer activity after binding to p53 protein and is currently in Phase I of clinical trials. We have studied its structure in water and in a biomimetic media and show that the pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b34fa8403045b7d8a5a954f3213cd30
https://pubmed.ncbi.nlm.nih.gov/34151482
https://pubmed.ncbi.nlm.nih.gov/34151482
While protein sequence data is an emerging application domain for machine learning methods, small modifications to protein sequences can result in difficult-to-predict changes to the protein’s function. Consequently, protein machine learning models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c0bf01b8c6b7d3866109567c119308f
https://doi.org/10.1101/2021.02.18.431877
https://doi.org/10.1101/2021.02.18.431877
Autor:
Yang, Ziheng, author
Publikováno v:
Molecular Evolution : A Statistical Approach, 2014.
Externí odkaz:
https://doi.org/10.1093/acprof:oso/9780199602605.003.0002