NeuroPep 2.0: An Updated Database Dedicated to Neuropeptide and Its Receptor Annotations.

Mingxia Wang, Lei Wang, Wei Xu, Ziqiang Chu, Hengzhi Wang, Jingxiang Lu, Zhidong Xue, Yan Wang

Journal: Journal of molecular biology 2024;436(4):168416

PMID: 38143020

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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/.

Address: 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.; 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.; 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: [email protected].

DOI: 10.1016/j.jmb.2023.168416

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MeSH Terms: Amino Acid Sequence, Neuropeptides, Databases, Protein, Molecular Sequence Annotation