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Renaissance Distribution for Statistically Failed Experiments

Popov, Roman; Shankara, Girish Karadka; von Bojničić-Kninski, Clemens; Nesterov-Mueller, Alexander

Abstract:
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.

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Verlagsausgabe §
DOI: 10.5445/IR/1000096796
Veröffentlicht am 24.07.2019
Coverbild
Zugehörige Institution(en) am KIT Institut für Mikrostrukturtechnik (IMT)
Publikationstyp Zeitschriftenaufsatz
Jahr 2019
Sprache Englisch
Identifikator ISSN: 1422-0067
KITopen-ID: 1000096796
HGF-Programm 47.01.03 (POF III, LK 01)
Erschienen in International journal of molecular sciences
Band 20
Heft 13
Seiten Art.-Nr.: 3250
Bemerkung zur Veröffentlichung Gefördert durch den KIT-Publikationsfonds
Vorab online veröffentlicht am 02.07.2019
Schlagworte peptide arrays; statistics; deep substitutions
Nachgewiesen in Web of Science
Scopus
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