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NeuroPep 2.0: An Updated Database Dedicated to Neuropeptide and Its Receptor Annotations.
Wang, Mingxia; Wang, Lei; Xu, Wei; Chu, Ziqiang; Wang, Hengzhi; Lu, Jingxiang; Xue, Zhidong; Wang, Yan.
Afiliação
  • Wang M; Institute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, Shandong 264003, China.
  • Wang L; School of Software Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Xu W; Institute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, Shandong 264003, China.
  • Chu Z; School of Software Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Wang H; School of Software Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Lu J; Institute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, Shandong 264003, China.
  • Xue Z; Institute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, Shandong 264003, China; School of Software Engineering, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.
  • Wang Y; Institute of Medical Artificial Intelligence, Binzhou Medical University, Yantai, Shandong 264003, China; School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China. Electronic address: yanw@hust.edu.cn.
J Mol Biol ; 436(4): 168416, 2024 02 15.
Article em En | MEDLINE | ID: mdl-38143020
ABSTRACT
Neuropeptides not only work through nervous system but some of them also work peripherally to regulate numerous physiological processes. They are important in regulation of numerous physiological processes including growth, reproduction, social behavior, inflammation, fluid homeostasis, cardiovascular function, and energy homeostasis. The various roles of neuropeptides make them promising candidates for prospective therapeutics of different diseases. Currently, NeuroPep has been updated to version 2.0, it now holds 11,417 unique neuropeptide entries, which is nearly double of the first version of NeuroPep. When available, we collected information about the receptor for each neuropeptide entry and predicted the 3D structures of those neuropeptides without known experimental structure using AlphaFold2 or APPTEST according to the peptide sequence length. In addition, DeepNeuropePred and NeuroPred-PLM, two neuropeptide prediction tools developed by us recently, were also integrated into NeuroPep 2.0 to help to facilitate the identification of new neuropeptides. NeuroPep 2.0 is freely accessible at https//isyslab.info/NeuroPepV2/.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neuropeptídeos / Bases de Dados de Proteínas / Anotação de Sequência Molecular Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neuropeptídeos / Bases de Dados de Proteínas / Anotação de Sequência Molecular Idioma: En Ano de publicação: 2024 Tipo de documento: Article