{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T13:40:51Z","timestamp":1762522851322,"version":"build-2065373602"},"reference-count":56,"publisher":"MDPI AG","issue":"22","license":[{"start":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T00:00:00Z","timestamp":1699315200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Natural Science Foundation of Jiangxi Province of China","award":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"],"award-info":[{"award-number":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"]}]},{"name":"Key Science Foundation of Educational Commission of Jiangxi Province of China","award":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"],"award-info":[{"award-number":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"]}]},{"name":"National Natural Science Foundation of China","award":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"],"award-info":[{"award-number":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"]}]},{"name":"Scholastic Youth Talent Jinggang Program of Jiangxi Province","award":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"],"award-info":[{"award-number":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"]}]},{"name":"Scholastic Youth Talent Program of Jiangxi Science and Technology Normal University","award":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"],"award-info":[{"award-number":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"]}]},{"name":"Scientific and Key Technological Projects of Jiangxi Science and Technology Normal University","award":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"],"award-info":[{"award-number":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"]}]},{"name":"Graduate Innovation Fund Project of Education Department of Jiangxi province of China","award":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"],"award-info":[{"award-number":["20202BAB202009","GJJ160768","62163017","61603161","QNJG2020065","2016QNBJRC004","H20210715110257000007","YC2021-S756"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Protein is one of the primary biochemical macromolecular regulators in the compartmental cellular structure, and the subcellular locations of proteins can therefore provide information on the function of subcellular structures and physiological environments. Recently, data-driven systems have been developed to predict the subcellular location of proteins based on protein sequence, immunohistochemistry (IHC) images, or immunofluorescence (IF) images. However, the research on the fusion of multiple protein signals has received little attention. In this study, we developed a dual-signal computational protocol by incorporating IHC images into protein sequences to learn protein subcellular localization. Three major steps can be summarized as follows in this protocol: first, a benchmark database that includes 281 proteins sorted out from 4722 proteins of the Human Protein Atlas (HPA) and Swiss-Prot database, which is involved in the endoplasmic reticulum (ER), Golgi apparatus, cytosol, and nucleoplasm; second, discriminative feature operators were first employed to quantitate protein image-sequence samples that include IHC images and protein sequence; finally, the feature subspace of different protein signals is absorbed to construct multiple sub-classifiers via dimensionality reduction and binary relevance (BR), and multiple confidence derived from multiple sub-classifiers is adopted to decide subcellular location by the centralized voting mechanism at the decision layer. The experimental results indicated that the dual-signal model embedded IHC images and protein sequences outperformed the single-signal models with accuracy, precision, and recall of 75.41%, 80.38%, and 74.38%, respectively. It is enlightening for further research on protein subcellular location prediction under multi-signal fusion of protein.<\/jats:p>","DOI":"10.3390\/s23229014","type":"journal-article","created":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T00:44:18Z","timestamp":1699317858000},"page":"9014","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":4,"title":["Dual-Signal Feature Spaces Map Protein Subcellular Locations Based on Immunohistochemistry Image and Protein Sequence"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0008-9967-5783","authenticated-orcid":false,"given":"Kai","family":"Zou","sequence":"first","affiliation":[{"name":"School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330038, China"},{"name":"School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan 430074, China"}]},{"given":"Simeng","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330038, China"}]},{"given":"Ziqian","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330038, China"}]},{"given":"Hongliang","family":"Zou","sequence":"additional","affiliation":[{"name":"School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330038, China"}]},{"given":"Fan","family":"Yang","sequence":"additional","affiliation":[{"name":"School of Communications and Electronics, Jiangxi Science and Technology Normal University, Nanchang 330038, China"},{"name":"Artificial Intelligence and Bioinformation Cognition Laboratory, Jiangxi Science and Technology Normal University, Nanchang 330038, China"}]}],"member":"1968","published-online":{"date-parts":[[2023,11,7]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"815","DOI":"10.1038\/nmeth.3555","article-title":"Mapping proteins with spatial proteomics","volume":"12","author":"Marx","year":"2015","journal-title":"Nat. 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