loading page

Effects of genetic variation on the structure of biological macromolecules
  • +14
  • Jingxuan Kang,
  • Siyu Wei,
  • Zhe Jia,
  • Yingnan Ma,
  • Haiyan Chen,
  • Chen Sun,
  • Jing Xu,
  • Junxian Tao,
  • Yu Dong,
  • Wenhua Lv,
  • Hongsheng Tian,
  • Xuying Guo,
  • Shuo Bi,
  • Chen Zhang,
  • Yongshuai Jiang,
  • Hongchao Lv,
  • Mingming Zhang
Jingxuan Kang
Harbin Medical University
Author Profile
Siyu Wei
Harbin Medical University
Author Profile
Zhe Jia
Harbin Medical University
Author Profile
Yingnan Ma
Harbin Medical University
Author Profile
Haiyan Chen
Harbin Medical University
Author Profile
Chen Sun
Harbin Medical University
Author Profile
Jing Xu
Harbin Medical University
Author Profile
Junxian Tao
Harbin Medical University
Author Profile
Yu Dong
Harbin Medical University
Author Profile
Wenhua Lv
Harbin Medical University
Author Profile
Hongsheng Tian
Harbin Medical University
Author Profile
Xuying Guo
Harbin Medical University
Author Profile
Shuo Bi
Harbin Medical University
Author Profile
Chen Zhang
Harbin Medical University
Author Profile
Yongshuai Jiang
Harbin Medical University

Corresponding Author:jiangyongshuai@gmail.com

Author Profile
Hongchao Lv
Harbin Medical University
Author Profile
Mingming Zhang
Harbin Medical University
Author Profile

Abstract

Changes in the structure of biological macromolecules, such as RNA and protein, have an important impact on biological functions, and are even important determinants of disease pathogenesis and treatment. Some genetic variations, including copy number variation, single nucleotide variation, and so on, can lead to changes in biological function and increased susceptibility to certain diseases by changing the structure of biological macromolecules. Here, we reviewed the progress of research about the effects of genetic variation on the structure of macromolecules including RNAs and proteins, several typical methods and common tools, and the effect on several diseases. An online resource (http://www.onethird-lab.com/gems/) to support convenient retrieval of common tools is also built. Finally, the challenges and future development of effect prediction were discussed.
01 Jun 2023Submitted to PROTEOMICS
01 Jun 2023Submission Checks Completed
01 Jun 2023Assigned to Editor
01 Jun 2023Review(s) Completed, Editorial Evaluation Pending
01 Jun 2023Reviewer(s) Assigned
21 Jul 2023Editorial Decision: Revise Minor
30 Oct 2023Review(s) Completed, Editorial Evaluation Pending
30 Oct 20231st Revision Received
31 Oct 2023Reviewer(s) Assigned
15 Nov 2023Editorial Decision: Revise Minor