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Renaissance Distribution for Statistically Failed Experiments
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| Zeitschriftentitel: | International Journal of Molecular Sciences |
|---|---|
| Personen und Körperschaften: | , , , |
| In: | International Journal of Molecular Sciences, 20, 2019, 13, S. 3250 |
| Format: | E-Article |
| Sprache: | Englisch |
| veröffentlicht: |
MDPI AG
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| Schlagwörter: |
| author_facet |
Popov, Roman Shankara, Girish Karadka von Bojničić-Kninski, Clemens Nesterov-Mueller, Alexander Popov, Roman Shankara, Girish Karadka von Bojničić-Kninski, Clemens Nesterov-Mueller, Alexander |
|---|---|
| author |
Popov, Roman Shankara, Girish Karadka von Bojničić-Kninski, Clemens Nesterov-Mueller, Alexander |
| spellingShingle |
Popov, Roman Shankara, Girish Karadka von Bojničić-Kninski, Clemens Nesterov-Mueller, Alexander International Journal of Molecular Sciences Renaissance Distribution for Statistically Failed Experiments Inorganic Chemistry Organic Chemistry Physical and Theoretical Chemistry Computer Science Applications Spectroscopy Molecular Biology General Medicine Catalysis |
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Popov, Roman Shankara, Girish Karadka von Bojničić-Kninski, Clemens Nesterov-Mueller, Alexander 1422-0067 MDPI AG Inorganic Chemistry Organic Chemistry Physical and Theoretical Chemistry Computer Science Applications Spectroscopy Molecular Biology General Medicine Catalysis http://dx.doi.org/10.3390/ijms20133250 <jats:p>Much of the experimental data, especially in life sciences, is considered to be useless if it demonstrates a large standard deviation from the mean value. The Renaissance distribution, as presented in this study, allows one to extract true values from such statistical data with large noise. To obtain proof of the Renaissance distribution, high-throughput synthesis of deep substitutions for a target amino acid sequence was performed, and the known epitope was identified in assay with human serum antibodies. In addition, the Renaissance distribution was shown to approach the epitope affinity maturation by the deep alanine substitution. The Renaissance distribution may have an impact in the development of novel specific drugs.</jats:p> Renaissance Distribution for Statistically Failed Experiments International Journal of Molecular Sciences |
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| title |
Renaissance Distribution for Statistically Failed Experiments |
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Renaissance Distribution for Statistically Failed Experiments |
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Renaissance Distribution for Statistically Failed Experiments |
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Renaissance Distribution for Statistically Failed Experiments |
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Renaissance Distribution for Statistically Failed Experiments |
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Renaissance Distribution for Statistically Failed Experiments |
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renaissance distribution for statistically failed experiments |
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Inorganic Chemistry Organic Chemistry Physical and Theoretical Chemistry Computer Science Applications Spectroscopy Molecular Biology General Medicine Catalysis |
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http://dx.doi.org/10.3390/ijms20133250 |
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2019 |
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3250 |
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<jats:p>Much of the experimental data, especially in life sciences, is considered to be useless if it demonstrates a large standard deviation from the mean value. The Renaissance distribution, as presented in this study, allows one to extract true values from such statistical data with large noise. To obtain proof of the Renaissance distribution, high-throughput synthesis of deep substitutions for a target amino acid sequence was performed, and the known epitope was identified in assay with human serum antibodies. In addition, the Renaissance distribution was shown to approach the epitope affinity maturation by the deep alanine substitution. The Renaissance distribution may have an impact in the development of novel specific drugs.</jats:p> |
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| author | Popov, Roman, Shankara, Girish Karadka, von Bojničić-Kninski, Clemens, Nesterov-Mueller, Alexander |
| author_facet | Popov, Roman, Shankara, Girish Karadka, von Bojničić-Kninski, Clemens, Nesterov-Mueller, Alexander, Popov, Roman, Shankara, Girish Karadka, von Bojničić-Kninski, Clemens, Nesterov-Mueller, Alexander |
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| description | <jats:p>Much of the experimental data, especially in life sciences, is considered to be useless if it demonstrates a large standard deviation from the mean value. The Renaissance distribution, as presented in this study, allows one to extract true values from such statistical data with large noise. To obtain proof of the Renaissance distribution, high-throughput synthesis of deep substitutions for a target amino acid sequence was performed, and the known epitope was identified in assay with human serum antibodies. In addition, the Renaissance distribution was shown to approach the epitope affinity maturation by the deep alanine substitution. The Renaissance distribution may have an impact in the development of novel specific drugs.</jats:p> |
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| imprint_str_mv | MDPI AG, 2019 |
| institution | DE-105, DE-14, DE-Ch1, DE-L229, DE-D275, DE-Bn3, DE-Brt1, DE-Zwi2, DE-D161, DE-Gla1, DE-Zi4, DE-15, DE-Pl11, DE-Rs1 |
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| series | International Journal of Molecular Sciences |
| source_id | 49 |
| spelling | Popov, Roman Shankara, Girish Karadka von Bojničić-Kninski, Clemens Nesterov-Mueller, Alexander 1422-0067 MDPI AG Inorganic Chemistry Organic Chemistry Physical and Theoretical Chemistry Computer Science Applications Spectroscopy Molecular Biology General Medicine Catalysis http://dx.doi.org/10.3390/ijms20133250 <jats:p>Much of the experimental data, especially in life sciences, is considered to be useless if it demonstrates a large standard deviation from the mean value. The Renaissance distribution, as presented in this study, allows one to extract true values from such statistical data with large noise. To obtain proof of the Renaissance distribution, high-throughput synthesis of deep substitutions for a target amino acid sequence was performed, and the known epitope was identified in assay with human serum antibodies. In addition, the Renaissance distribution was shown to approach the epitope affinity maturation by the deep alanine substitution. The Renaissance distribution may have an impact in the development of novel specific drugs.</jats:p> Renaissance Distribution for Statistically Failed Experiments International Journal of Molecular Sciences |
| spellingShingle | Popov, Roman, Shankara, Girish Karadka, von Bojničić-Kninski, Clemens, Nesterov-Mueller, Alexander, International Journal of Molecular Sciences, Renaissance Distribution for Statistically Failed Experiments, Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Computer Science Applications, Spectroscopy, Molecular Biology, General Medicine, Catalysis |
| title | Renaissance Distribution for Statistically Failed Experiments |
| title_full | Renaissance Distribution for Statistically Failed Experiments |
| title_fullStr | Renaissance Distribution for Statistically Failed Experiments |
| title_full_unstemmed | Renaissance Distribution for Statistically Failed Experiments |
| title_short | Renaissance Distribution for Statistically Failed Experiments |
| title_sort | renaissance distribution for statistically failed experiments |
| title_unstemmed | Renaissance Distribution for Statistically Failed Experiments |
| topic | Inorganic Chemistry, Organic Chemistry, Physical and Theoretical Chemistry, Computer Science Applications, Spectroscopy, Molecular Biology, General Medicine, Catalysis |
| url | http://dx.doi.org/10.3390/ijms20133250 |