11 results about "Neuropeptide" patented technology

The present invention relates to insect neuropeptide compounds of the family of pyroglutamic peptides and analogs thereof having activity against insects, such as Hemiptera, Diptera, Lepidoptera, Blattaria and / or Coleoptera insects, such as aphids and fruit flies, and their use as insect control agents (e.g. insecticides) and plant protection agents.

The application provides an application of a hair follicle immune homeostasis regulation strategy in treating alopecia diseases. A group of pathological LAMP3 + CCR7 + IL4I1 + DC3 dendritic cell subpopulation. A DC3 dendritic cell subpopulation marker gene Il4i1 Drive conditionally knockout one of the CGRP receptor complexes Calcrl The constructed spontaneous alopecia areata animal model can well simulate the progressive and active hair loss of alopecia areata patients, form stable hair loss patches, and combine with pathological changes such as hair follicle immune cell infiltration, which indicates that the dendritic cell CGRP signal loss is an important inducement for mediating systemic alopecia areata. The application also discloses a pharmaceutical composition or kit for preparing a drug for relieving / treating hair loss, improving hair follicle homeostasis, or enhancing hair growth / black coloration (reducing white hair), which comprises: (a) a JAK kinase inhibitor, and (b) a neuropeptide CGRP or a receptor agonist thereof.

The present disclosure relates to use of tear fluid neuropeptide Y (NPY) level for diagnosis, prognosis, assessment and therapy stratification of corneal nerve damage or loss, corneal neuropathy, corneal neuropathic pain, corneal neuralgia, ocular disease, or peripheral neuropathy.

The application discloses a neurotransmitter regulation interaction relationship model construction method and system, relates to the technical field of computational neuroscience, and comprises the following steps: constructing a neuron multimodal neurotransmitter co-release dynamics unit, defining small molecule neurotransmitter and neuropeptide respective vesicle pool state variables, and establishing a coupling release equation based on calcium dependence and regulatory protein selectivity, and outputting two types of neurotransmitter spatiotemporal release source terms; inputting the spatiotemporal release source terms into a three-dimensional brain space structure embedded with a receptor density map, solving a volume conduction equation, and generating a dynamic concentration field of a whole brain range of modulating neurotransmitters; according to a corresponding relationship between the dynamic concentration field and the local receptor density, calculating diffuse modulation input received by the neuron; based on the concentration of a specific modulating neurotransmitter in the dynamic concentration field, driving state evolution of an astrocyte cell unit, and outputting a concentration of a regulatory neurotransmitter released by the astrocyte cell; and integrating point-to-point synapse input, diffuse modulation input and the concentration of the regulatory neurotransmitter released by the astrocyte cell.

The disclosure provides a neural peptide prediction method and system based on sequence representation and multi-task learning, relating to the technical fields of biological information and artificial intelligence, comprising: obtaining a peptide amino acid sequence to be predicted; inputting the amino acid sequence into a neural peptide predictor, converting the amino acid sequence into a residue context representation through a sequence representation module of the neural peptide predictor, inputting the residue context representation into a sequence encoding module to capture context dependence at different positions and learn neural peptide discriminative features, and obtaining a feature matrix; aggregating the feature matrix through a feature aggregation module to obtain a fixed-length sequence-level vector; and a classification task module outputting whether the sequence belongs to a neural peptide according to the fixed-length sequence-level vector, and finally completing the prediction of the neural peptide. The disclosure improves the accuracy, robustness and cross-dataset generalization ability of neural peptide prediction.

Described herein are radiotherapeutics that target tumor cells expressing the neuropeptide Y1 receptor (NPY1R) and their use in the treatment and / or diagnosis of cancer.

Compositions and methods for the management and treatment of obesity, metabolic disorders, nausea and emesis using a ODN peptides and synthetic derivatives thereof are disclosed.

Described herein are radiotherapeutics that target tumor cells expressing the neuropeptide Y1 receptor (NPY1R) and their use in the treatment and / or diagnosis of cancer.