AIMC Topic: Neuropeptides

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NeuroPred-AIMP: Multimodal Deep Learning for Neuropeptide Prediction via Protein Language Modeling and Temporal Convolutional Networks.

Journal of chemical information and modeling May 12, 2025
Neuropeptides are key signaling molecules that regulate fundamental physiological processes ranging from metabolism to cognitive function. However, accurate identification is a huge challenge due to sequence heterogeneity, obscured functional motifs ...
Humans Neural Networks, Computer Deep Learning Computational Biology Neuropeptides
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NeuroPred-FRL: an interpretable prediction model for identifying neuropeptide using feature representation learning.

Briefings in bioinformatics Nov 5, 2021
Neuropeptides (NPs) are the most versatile neurotransmitters in the immune systems that regulate various central anxious hormones. An efficient and effective bioinformatics tool for rapid and accurate large-scale identification of NPs is critical in ...
Machine Learning Software Algorithms Reproducibility of Results Computational Biology Databases, Genetic Workflow Neuropeptides Position-Specific Scoring Matrices Consensus Sequence Internet-Based Intervention
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