Literature DB >> 31668857

A Genetic Instruction Code Based on DNA Conformation.

Alan Herbert1.   

Abstract

Flipons are sequences capable of forming either right- or left-handed DNA under physiological conditions, forming a class of dissipative structures that trade metabolic energy for information by cycling DNA between different chromatin states. Flipons enhance the diversity of transcriptomes, increasing entropy while enabling the evolution of features both new and unexpected.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  Z-DNA Z-RNA; dissipative structure; entropy; evolution; flipon; genetic code

Mesh:

Substances:

Year:  2019        PMID: 31668857     DOI: 10.1016/j.tig.2019.09.007

Source DB:  PubMed          Journal:  Trends Genet        ISSN: 0168-9525            Impact factor:   11.639


  7 in total

1.  Z-RNA and the Flipside of the SARS Nsp13 Helicase: Is There a Role for Flipons in Coronavirus-Induced Pathology?

Authors:  Alan Herbert; Maria Poptsova
Journal:  Front Immunol       Date:  2022-06-17       Impact factor: 8.786

Review 2.  To "Z" or not to "Z": Z-RNA, self-recognition, and the MDA5 helicase.

Authors:  Alan Herbert
Journal:  PLoS Genet       Date:  2021-05-13       Impact factor: 5.917

3.  Dynamic regulation of Z-DNA in the mouse prefrontal cortex by the RNA-editing enzyme Adar1 is required for fear extinction.

Authors:  Paul R Marshall; Qiongyi Zhao; Xiang Li; Wei Wei; Ambika Periyakaruppiah; Esmi L Zajaczkowski; Laura J Leighton; Sachithrani U Madugalle; Dean Basic; Ziqi Wang; Jiayu Yin; Wei-Siang Liau; Ankita Gupte; Carl R Walkley; Timothy W Bredy
Journal:  Nat Neurosci       Date:  2020-05-04       Impact factor: 24.884

Review 4.  The Simple Biology of Flipons and Condensates Enhances the Evolution of Complexity.

Authors:  Alan Herbert
Journal:  Molecules       Date:  2021-08-12       Impact factor: 4.411

5.  Lone Pair…π Contacts and Structure Signatures of r(UNCG) Tetraloops, Z-Turns, and Z-Steps: A WebFR3D Survey.

Authors:  Craig L Zirbel; Pascal Auffinger
Journal:  Molecules       Date:  2022-07-07       Impact factor: 4.927

6.  Deep learning approach for predicting functional Z-DNA regions using omics data.

Authors:  Nazar Beknazarov; Seungmin Jin; Maria Poptsova
Journal:  Sci Rep       Date:  2020-11-05       Impact factor: 4.379

Review 7.  Mono a Mano: ZBP1's Love-Hate Relationship with the Kissing Virus.

Authors:  Alan Herbert; Aleksandr Fedorov; Maria Poptsova
Journal:  Int J Mol Sci       Date:  2022-03-12       Impact factor: 5.923

  7 in total

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