Conformational investigation of the structure-activity relationship of GdFFD and its analogues on an achatin-like neuropeptide receptor of Aplysia californica involved in the feeding circuit.
Conformational investigation of the structure-activity relationship of GdFFD and its analogues on an achatin-like neuropeptide receptor of Aplysia californica involved in the feeding circuit.
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GDFFD及其类似物在喂养回路中涉及的Aplysia aplysia aplysia的神经肽受体上的结构活性关系的构象研究。
DOI:
10.1039/c8cp03661f
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发表时间:
2018-08-29
期刊:
影响因子:
--
通讯作者:
Sweedler JV
中科院分区:
文献类型:
--
作者:
Do TD ;Checco JW ;Tro M ;Shea JE ;Bowers MT ;Sweedler JV
Proteins and peptides in nature are almost exclusively made from l-amino acids, and this is even more absolute in the metazoan. With the advent of modern bioanalytical techniques, however, previously unappreciated roles for d-amino acids in biological processes have been revealed. Over 30 d-amino acid containing peptides (DAACPs) have been discovered in animals where at least one l-residue has been isomerized to the d-form via an enzyme-catalyzed process. In Aplysia californica, GdFFD and GdYFD (the lower-case letter “d” indicates a d-amino acid residue) modulate the feeding behavior by activating the Aplysia achatin-like neuropeptide receptor (apALNR). However, little is known about how the three-dimensional conformation of DAACPs influences activity at the receptor, and the role that d-residues play in these peptide conformations. Here, we use a combination of computational modeling, drift-tube ion-mobility mass spectrometry, and receptor activation assays to create a simple model that predicts bioactivities for a series of GdFFD analogs. Our results suggest that the active conformations of GdFFD and GdYFD are similar to their lowest energy conformations in solution. Our model helps connect the predicted structures of GdFFD analogs to their activities, and highlights a steric effect on peptide activity at position 1 on the GdFFD receptor apALNR. Overall, these methods allow us to understand ligand-receptor interactions in the absence of high-resolution structural data. Computational modeling and ion-mobility mass spectrometry are used to understand and predict the activity of endogenous D-amino acid-containing neuropeptides at their cognate receptor.
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影响因子:
15
作者:
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通讯作者:
Bowers, MT
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15
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