Renaissance Distribution for Statistically Failed Experiments
| Autor: | Popov, Roman, Shankara, Girish Karadka, von Bojničić-Kninski, Clemens, Nesterov-Mueller, Alexander |
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| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Models
Molecular Stochastic Processes Alanine Protein Array Analysis deep substitutions peptide arrays Article lcsh:Chemistry Epitopes Amino Acid Substitution lcsh:Biology (General) lcsh:QD1-999 statistics Humans Amino Acid Sequence ddc:620 Peptides lcsh:QH301-705.5 Engineering & allied operations Statistical Distributions |
| Zdroj: | International Journal of Molecular Sciences Volume 20 Issue 13 International Journal of Molecular Sciences, Vol 20, Iss 13, p 3250 (2019) International journal of molecular sciences, 20 (13), Art.-Nr.: 3250 |
| ISSN: | 1422-0067 |
| DOI: | 10.3390/ijms20133250 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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