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Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness
| Autores principales: | , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883184/ http://dx.doi.org/10.1371/annotation/285bb79f-ef1a-467e-9fd3-4e518d65acd3 |
| _version_ | 1782298409778020352 |
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| author | Mukherjee, Sayak Rigaud, Stephanie Seok, Sang-Cheol Fu, Guo Prochenka, Agnieszka Dworkin, Michael Gascoigne, Nicholas R. J. Vieland, Veronica J. Sauer, Karsten Das, Jayajit |
| author_facet | Mukherjee, Sayak Rigaud, Stephanie Seok, Sang-Cheol Fu, Guo Prochenka, Agnieszka Dworkin, Michael Gascoigne, Nicholas R. J. Vieland, Veronica J. Sauer, Karsten Das, Jayajit |
| author_sort | Mukherjee, Sayak |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-3883184 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2014 |
| publisher | Public Library of Science |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-38831842014-01-09 Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness Mukherjee, Sayak Rigaud, Stephanie Seok, Sang-Cheol Fu, Guo Prochenka, Agnieszka Dworkin, Michael Gascoigne, Nicholas R. J. Vieland, Veronica J. Sauer, Karsten Das, Jayajit PLoS One Correction Public Library of Science 2014-01-06 /pmc/articles/PMC3883184/ http://dx.doi.org/10.1371/annotation/285bb79f-ef1a-467e-9fd3-4e518d65acd3 Text en © 2014 Public Library of Science http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
| spellingShingle | Correction Mukherjee, Sayak Rigaud, Stephanie Seok, Sang-Cheol Fu, Guo Prochenka, Agnieszka Dworkin, Michael Gascoigne, Nicholas R. J. Vieland, Veronica J. Sauer, Karsten Das, Jayajit Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness |
| title | Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness |
| title_full | Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness |
| title_fullStr | Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness |
| title_full_unstemmed | Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness |
| title_short | Correction: In Silico Modeling of Itk Activation Kinetics in Thymocytes Suggests Competing Positive and Negative IP(4) Mediated Feedbacks Increase Robustness |
| title_sort | correction: in silico modeling of itk activation kinetics in thymocytes suggests competing positive and negative ip(4) mediated feedbacks increase robustness |
| topic | Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3883184/ http://dx.doi.org/10.1371/annotation/285bb79f-ef1a-467e-9fd3-4e518d65acd3 |
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