NeuroPep 2.0: An Updated Database Dedicated to Neuropeptide and Its Receptor Annotations
[Display omitted] •NeuroPep 2.0 holds 11,417 unique neuropeptide entries originating from 924 species.•Collected receptor information for each neuropeptide when available.•Predicted 3D structures of neuropeptides and their receptors without known structure.•Provides two new neuropeptide prediction t...
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Veröffentlicht in: | Journal of molecular biology 2024-02, Vol.436 (4), p.168416-168416, Article 168416 |
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•NeuroPep 2.0 holds 11,417 unique neuropeptide entries originating from 924 species.•Collected receptor information for each neuropeptide when available.•Predicted 3D structures of neuropeptides and their receptors without known structure.•Provides two new neuropeptide prediction tools, DeepNeuropePred and NeuroPred-PLM.•NeuroPep 2.0 will be a valuable resource for neuropeptide research and neuropeptide drug design.
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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ISSN: | 0022-2836 1089-8638 |
DOI: | 10.1016/j.jmb.2023.168416 |