Zobrazeno 1 - 10
of 252
pro vyhledávání: '"essential protein"'
AttentionEP: Predicting essential proteins via fusion of multiscale features by attention mechanisms
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 4315-4323 (2024)
Identifying essential proteins is of utmost importance in the field of biomedical research due to their essential functions in cellular activities and their involvement in mechanisms related to diseases. In this research, a novel approach called Atte
Externí odkaz:
https://doaj.org/article/01d7274336e3436bad20b02c2f0ae190
Publikováno v:
BMC Genomics, Vol 25, Iss 1, Pp 1-23 (2024)
Abstract Background In cellular activities, essential proteins play a vital role and are instrumental in comprehending fundamental biological necessities and identifying pathogenic genes. Current deep learning approaches for predicting essential prot
Externí odkaz:
https://doaj.org/article/d83859d6356b4607a6736b67fbcc3a72
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-24 (2023)
Abstract Background A major current focus in the analysis of protein–protein interaction (PPI) data is how to identify essential proteins. As massive PPI data are available, this warrants the design of efficient computing methods for identifying es
Externí odkaz:
https://doaj.org/article/51fb482470344863af1fc5ff7a70d43d
Autor:
Katarzyna Szczęśniak, Florian Veillard, Carsten Scavenius, Kamila Chudzik, Kinga Ferenc, Matthias Bochtler, Jan Potempa, Danuta Mizgalska
Publikováno v:
mBio, Vol 14, Iss 5 (2023)
ABSTRACT In Gram-negative didermal species of the phylum Bacteroidetes, the majority of pre(pro)proteins exported across the cell membrane via the Sec system follow the Q-rule: a glutamine residue immediately downstream of a leader peptide is exposed
Externí odkaz:
https://doaj.org/article/60967250674546a2b543e3272ba9043c
Akademický článek
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Akademický článek
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Autor:
Yi Yue, Chen Ye, Pei-Yun Peng, Hui-Xin Zhai, Iftikhar Ahmad, Chuan Xia, Yun-Zhi Wu, You-Hua Zhang
Publikováno v:
BMC Bioinformatics, Vol 23, Iss 1, Pp 1-27 (2022)
Abstract Background Essential Proteins are demonstrated to exert vital functions on cellular processes and are indispensable for the survival and reproduction of the organism. Traditional centrality methods perform poorly on complex protein–protein
Externí odkaz:
https://doaj.org/article/13422619102648408b5b3faf4498916b
Publikováno v:
Mathematical Biosciences and Engineering, Vol 19, Iss 6, Pp 6331-6343 (2022)
High throughput biological experiments are expensive and time consuming. For the past few years, many computational methods based on biological information have been proposed and widely used to understand the biological background. However, the proce
Externí odkaz:
https://doaj.org/article/cfa69b86f3ab4e5fbc0f18e214788eb8
Publikováno v:
Frontiers in Genetics, Vol 13 (2023)
Essential proteins play important roles in the development and survival of organisms whose mutations are proven to be the drivers of common internal diseases having higher prevalence rates. Due to high costs of traditional biological experiments, an
Externí odkaz:
https://doaj.org/article/bd27c22e82b648e1a1af5978af425808
Publikováno v:
IEEE Access, Vol 8, Pp 138141-138148 (2020)
Identification of essential proteins is important for understanding cell survival and development, because even if only one of these proteins is missing, organisms cannot survive or develop. Since traditional methods for identifying essential protein
Externí odkaz:
https://doaj.org/article/14722bf27ee944ae9c8550bf46d7a13f