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Published in 2018 at "Soft Computing"
DOI: 10.1007/s00500-017-2964-1
Abstract: The essential protein is very important for understanding cellular critical activities and development. With the development of high throughput technology, how to identify the essential proteins from the protein interaction network has become a hot…
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Keywords:
protein;
improved particle;
network;
topology ... See more keywords
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Published in 2019 at "Journal of theoretical biology"
DOI: 10.1016/j.jtbi.2019.08.005
Abstract: Essential proteins have vital functions, when they are destroyed in cells, the cells will die or stop reproducing. Therefore, it is very important to identify essential proteins from a large number of other proteins. Due…
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Keywords:
information;
importance;
reliability ppis;
model ... See more keywords
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Published in 2023 at "Chinese Physics B"
DOI: 10.1088/1674-1056/acd7ca
Abstract: Essential proteins are inseparable in cell growth and survival. The study of essential proteins is important for understanding cellular functions and biological mechanisms, therefore there are various computable methods proposed to identify essential proteins. Unfortunately,…
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Keywords:
topology;
localization information;
subcellular localization;
based four ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2974897
Abstract: Identifying essential proteins is important for not only understanding cellular activity but also detecting human disease genes. A series of centrality measures have been proposed to identify essential proteins based on the protein-protein interaction (PPI)…
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Keywords:
ppi network;
new scheme;
essential protein;
essential proteins ... See more keywords
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Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.2993860
Abstract: Accumulating studies have indicated that essential proteins play critical roles in numerous biological processes. With the rapid development of high-throughput technologies, a large number of Protein-Protein Interaction (PPI) data have been found in Saccharomyces cerevisiae,…
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Keywords:
essential proteins;
prediction;
ppi networks;
ppi ... See more keywords
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Published in 2021 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2897679
Abstract: Computational methods including centrality and machine learning-based methods have been proposed to identify essential proteins for understanding the minimum requirements of the survival and evolution of a cell. In centrality methods, researchers are required to…
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Keywords:
learning framework;
essential proteins;
biological information;
deep learning ... See more keywords
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Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2019.2916038
Abstract: Essential proteins are indispensable for maintaining normal cellular functions. Identification of essential proteins from Protein-protein interaction (PPI) networks has become a hot topic in recent years. Traditionally biological experimental based approaches are time-consuming and expensive,…
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Keywords:
mml;
essential proteins;
topology;
mml mml ... See more keywords
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Published in 2017 at "PLoS ONE"
DOI: 10.1371/journal.pone.0182031
Abstract: Essential proteins are the proteins that are indispensable to the survival and development of an organism. Deleting a single essential protein will cause lethality or infertility. Identifying and analysing essential proteins are key to understanding…
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Keywords:
identifying essential;
information;
new computational;
computational strategy ... See more keywords
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Published in 2021 at "Current Bioinformatics"
DOI: 10.2174/1574893615999200831142241
Abstract: Essential proteins play a crucial role in most of the living organisms. The computer-based task of predicting essential proteins is important for target protein identification, disease treatment and suitable drug development. Traditionally many experimental and…
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Keywords:
essential proteins;
target protein;
automated model;
model ... See more keywords
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Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.708162
Abstract: In recent years, due to low accuracy and high costs of traditional biological experiments, more and more computational models have been proposed successively to infer potential essential proteins. In this paper, a novel prediction method…
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Keywords:
novel protein;
domain network;
essential proteins;
protein domain ... See more keywords
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Published in 2021 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2021.763153
Abstract: Considering that traditional biological experiments are expensive and time consuming, it is important to develop effective computational models to infer potential essential proteins. In this manuscript, a novel collaborative filtering model-based method called CFMM was…
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Keywords:
collaborative filtering;
model based;
filtering model;
method ... See more keywords