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MicroProteinDB: A database to provide knowledge on sequences, structures and function of ncRNA-derived microproteins.
Liang, Yinan; Lv, Dezhong; Liu, Kefan; Yang, Liting; Shu, Huan; Wen, Luan; Lv, Chongwen; Sun, Qisen; Yin, Jiaqi; Liu, Hui; Xu, Juan; Liu, Zhigang; Ding, Na.
Afiliación
  • Liang Y; The First Affiliated Hospital, Harbin Medical University, Harbin, 150001, China.
  • Lv D; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Liu K; School of Interdisciplinary Medicine and Engineering, Harbin Medical University, Harbin, 150081, China.
  • Yang L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Shu H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Wen L; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Lv C; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Sun Q; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Yin J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Liu H; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
  • Xu J; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. Electronic address: xujuanbiocc@ems.hrbmu.edu.cn.
  • Liu Z; Affiliated Foshan Maternity&Child Healthcare Hospital, Southern Medical University, Guangzhou, 510000, China. Electronic address: whitexblack@163.com.
  • Ding N; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China. Electronic address: dingnabioinfor@hrbmu.edu.cn.
Comput Biol Med ; 177: 108660, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38820774
ABSTRACT
Omics-based technologies have revolutionized our comprehension of microproteins encoded by ncRNAs, revealing their abundant presence and pivotal roles within complex functional landscapes. Here, we developed MicroProteinDB (http//bio-bigdata.hrbmu.edu.cn/MicroProteinDB), which offers and visualizes the extensive knowledge to aid retrieval and analysis of computationally predicted and experimentally validated microproteins originating from various ncRNA types. Employing prediction algorithms grounded in diverse deep learning approaches, MicroProteinDB comprehensively documents the fundamental physicochemical properties, secondary and tertiary structures, interactions with functional proteins, family domains, and inter-species conservation of microproteins. With five major analytical modules, it will serve as a valuable knowledge for investigating ncRNA-derived microproteins.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: ARN no Traducido / Bases de Datos de Proteínas Límite: Animals / Humans Idioma: En Revista: Comput Biol Med Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: ARN no Traducido / Bases de Datos de Proteínas Límite: Animals / Humans Idioma: En Revista: Comput Biol Med Año: 2024 Tipo del documento: Article País de afiliación: China