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Articles Published Processes
2/27/2023 6:27:14 AM | Browse: 234 | Download: 724
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Received |
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2022-08-28 18:37 |
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Peer-Review Started |
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2022-08-28 18:39 |
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To Make the First Decision |
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Return for Revision |
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2022-12-13 02:40 |
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Revised |
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2022-12-28 20:18 |
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Second Decision |
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2023-01-31 03:37 |
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Accepted by Journal Editor-in-Chief |
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Accepted by Executive Editor-in-Chief |
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2023-02-02 00:42 |
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Articles in Press |
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2023-02-02 00:42 |
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Publication Fee Transferred |
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Edit the Manuscript by Language Editor |
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2023-02-12 02:15 |
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Typeset the Manuscript |
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2023-02-20 09:18 |
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Publish the Manuscript Online |
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2023-02-27 06:27 |
ISSN |
2220-3176 (online) |
Open Access |
This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ |
Copyright |
©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved. |
Article Reprints |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
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Permissions |
For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
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Publisher |
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA |
Website |
http://www.wjgnet.com |
Category |
Immunology |
Manuscript Type |
Basic Study |
Article Title |
Three-dimensional models of antigens with serodiagnosis potential for leprosy: An in silico study
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Manuscript Source |
Unsolicited Manuscript |
All Author List |
Bianca Luiza Melo de Assis, Rafaela Viana Vieira, Ian Theodoro Rudenco Gomes Palma, Matheus Bertolini Coutinho, Juliana de Moura, Gabrielle Caroline Peiter and Kádima Nayara Teixeira |
ORCID |
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Funding Agency and Grant Number |
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Corresponding Author |
Kádima Nayara Teixeira, PhD, Professor, Campus Toledo, Universidade Federal do Paraná, Avenida Max Planck, 3796 , Toledo 85.919-899, Paraná, Brazil. kadimateixeira@ufpr.br |
Key Words |
Antigens; Leprosy diagnosis; Mycobacterium leprae; Molecular modelling; Serological test; In silico study |
Core Tip |
Leprosy is a disease with high clinical and epidemiological impact, because it causes irreversible and disfiguring sequelae and has a high incidence in emerging countries. Its variability of manifestations, with different immune responses and the difficulty of cultivating M. leprae in the laboratory, makes it difficult to develop sensitive and specific tests for the diagnosis of the disease, thus emphasizing the importance of in silico studies to help in this problem. In this sense, this study aimed to obtain three-dimensional models of M. leprae antigens, which have stood out in previous studies as candidates for the serological diagnosis of leprosy. |
Publish Date |
2023-02-27 06:27 |
Citation |
Melo de Assis BL, Viana Vieira R, Rudenco Gomes Palma IT, Bertolini Coutinho M, de Moura J, Peiter GC, Teixeira KN. Three-dimensional models of antigens with serodiagnosis potential for leprosy: An in silico study. World J Clin Infect Dis 2023; 13(1): 1-10 |
URL |
https://www.wjgnet.com/2220-3176/full/v13/i1/1.htm |
DOI |
https://dx.doi.org/10.5495/wjcid.v13.i1.1 |
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