AVP protein, human
AVP is produced in the hypothalamus and released by the posterior pitutart gland, playing a key role in osmoregulation and cardiovascular function.
Resaerch on AVP proteins is critical for understanding conditions like diabetes insipidus, syndrome of inappropriate antidiuretic hormone secretion, and cardiovascular disorders.
PubCompare.ai can optimize your AVP protein studies by helping you locate reliable experimental protocols, compare research approaches, and enhance reproducibility and accuracy in your investigations.
Most cited protocols related to «AVP protein, human»
Two training sample sets and two independent test sets were established based on the data described above. Here we followed the same nomenclature used in the study by Thakur et al.[23] (link). 10-fold cross-validation was performed in our analysis, where the training and validation sets came from either of the two sample sets T544P+407N and T544P+544N*. T544P+407N consisted of 544 highly effective AVPs and 407 non-effective experimental peptides; T544P+544N* contained the same 544 positive AVPs but different 544 non-experimental negative peptides. The independent test sets V60P+45N and V60P+60N* were used for the benchmark. V60P+45N consisted of 60 highly effective AVPs and 45 non-effective peptides; V60P+60N* contained 60 positive peptides and 60 non-experimental negative peptides.
Most recents protocols related to «AVP protein, human»
Example 3
With reference to
Results were then analyzed in two ways. First, to improve reverse inference, we used two multivariate signatures the affective vicarious pain signature (AVPS24 (link)) and the reward signature (RS29 ) To explore if signals in this network covary with PES or PEM we then simply dot-multiplied the PES or PEM parameter estimate volume for each participant separately with the AVPS and RS, after having brought the AVPS and RS into our fMRI analysis space using ImageCalc. The result of the dot-multiplication indicates how much the covariance with PES or PEM loads on the AVPS or RS. We then brought these values into JASP, and compared them against zero and correlated them with wf. Because the loadings were normally distributed, we used parametric analyses. Second, we performed a similar analysis at the voxel level, by bringing the parameter estimate images for PES and PEM into a second-level linear regression using a constant and wf as the two predictors. A t test on the constant then reveals regions in which signals covary with PES or PEM after removing variance explained by wf. A t-test on the wf parameter estimate then reveals regions where the signals covary with PES or PEM in ways that depend on wf. To test if signals covary with 1-wf, we simply used a negative contrast in the t-test. Results were family-wise corrected at the cluster level using the established two-step procedure in SPM: (i) for cluster-cutting we visualized results at punc < 0.001 k = 10, and identified the FWEc minimum cluster-size for family-wise error correction from the results table, (ii) we reloaded the results at punc < .001 k = FWEc, so that all displayed results survive FWE at cluster-level. The same was done for EVS and EVM, but only reported in Supplementary Fig.
Amino acid sequences of
Participants arrived in the morning hours having fasted for 12 hours before the beginning of the experiments. The experimental setup is shown in Figure
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More about "AVP protein, human"
Produced in the hypothalamus and released by the posterior pituitary gland, AVP is a key player in osmoregulation and cardiovascular homeostasis.
Research on AVP proteins is critical for understanding and managing a range of conditions, such as diabetes insipidus, syndrome of inappropriate antidiuretic hormone secretion (SIADH), and cardiovascular disorders.
These investigations often involve the use of related compounds like phenylephrine, arginine vasopressin acetate salt, isoproterenol, and serotonin hydrochloride, which can help researchers better understand the complex mechanisms and interactions involving AVP.
Optimizing AVP protein studies is crucial for advancing our knowledge and developing effective treatments.
Tools like PubCompare.ai can assist researchers in locating reliable experimental protocols, comparing research approaches, and enhancing the reproducibility and accuracy of their investigations.
By leveraging this innovative AI-driven platform, scientists can streamline their AVP protein research, leading to more robust and impactful findings.
Whether you're studying the role of AVP in water balance, blood pressure regulation, or cardiovascular function, PubCompare.ai can be a valuable resource in your research endeavors.
By providing access to a wealth of information, including protocols, pre-prints, and patents, this platform can help you optimize your experimental design, identify the most effective approaches, and ultimately, advance our understanding of this critical hormone and its associated physiological processes.