Protein–protein interaction and non-interaction predictions using gene sequence natural vector
Protein-protein non-interactions and interactions are distinguished and predicted by gene sequence using single nucleotide and contiguous nucleotides combined with machine learning models.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-07-01
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| Series: | Communications Biology |
| Online Access: | https://doi.org/10.1038/s42003-022-03617-0 |
| _version_ | 1811328794966884352 |
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| author | Nan Zhao Maji Zhuo Kun Tian Xinqi Gong |
| author_facet | Nan Zhao Maji Zhuo Kun Tian Xinqi Gong |
| author_sort | Nan Zhao |
| collection | DOAJ |
| description | Protein-protein non-interactions and interactions are distinguished and predicted by gene sequence using single nucleotide and contiguous nucleotides combined with machine learning models. |
| first_indexed | 2024-04-13T15:32:32Z |
| format | Article |
| id | doaj.art-b812d3a497e84f7882a8773e23b94a6b |
| institution | Directory Open Access Journal |
| issn | 2399-3642 |
| language | English |
| last_indexed | 2024-04-13T15:32:32Z |
| publishDate | 2022-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Communications Biology |
| spelling | doaj.art-b812d3a497e84f7882a8773e23b94a6b2022-12-22T02:41:21ZengNature PortfolioCommunications Biology2399-36422022-07-015111110.1038/s42003-022-03617-0Protein–protein interaction and non-interaction predictions using gene sequence natural vectorNan Zhao0Maji Zhuo1Kun Tian2Xinqi Gong3Institute for Mathematical Sciences, School of Mathematics, Renmin University of ChinaInstitute for Mathematical Sciences, School of Mathematics, Renmin University of ChinaInstitute for Mathematical Sciences, School of Mathematics, Renmin University of ChinaInstitute for Mathematical Sciences, School of Mathematics, Renmin University of ChinaProtein-protein non-interactions and interactions are distinguished and predicted by gene sequence using single nucleotide and contiguous nucleotides combined with machine learning models.https://doi.org/10.1038/s42003-022-03617-0 |
| spellingShingle | Nan Zhao Maji Zhuo Kun Tian Xinqi Gong Protein–protein interaction and non-interaction predictions using gene sequence natural vector Communications Biology |
| title | Protein–protein interaction and non-interaction predictions using gene sequence natural vector |
| title_full | Protein–protein interaction and non-interaction predictions using gene sequence natural vector |
| title_fullStr | Protein–protein interaction and non-interaction predictions using gene sequence natural vector |
| title_full_unstemmed | Protein–protein interaction and non-interaction predictions using gene sequence natural vector |
| title_short | Protein–protein interaction and non-interaction predictions using gene sequence natural vector |
| title_sort | protein protein interaction and non interaction predictions using gene sequence natural vector |
| url | https://doi.org/10.1038/s42003-022-03617-0 |
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