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Renaissance Distribution for Statistically Failed Experiments.

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.

SUBMITTER: Popov R

PROVIDER: S-EPMC6651062 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

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Renaissance Distribution for Statistically Failed Experiments.

Popov Roman R Shankara Girish Karadka GK von Bojničić-Kninski Clemens C Nesterov-Mueller Alexander A

International journal of molecular sciences 20190702 13

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 ...[more]

PMID: 31269680

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