Structural Sequencing of Oligopeptides Aided by 1H Iterative Full-Spin Analysis.
Wei GaoJames B McAlpineMary P ChoulesJose G NapolitanoDavid C LankinCharlotte SimmlerNgoc Anh HoHanki LeeJoo-Won SuhIan W BurtonSanghyun ChoScott G FranzblauShao-Nong ChenGuido F PauliPublished in: Journal of natural products (2017)
This report describes an approach using 1H NMR iterative full-spin analysis (HiFSA) to extract definitive structural information on unknown peptides from 1D 1H NMR data. By comparing the experimental data and HiFSA fingerprint of a known analogue, it is possible to isolate the characteristic 1H subspectrum of the different amino acids and, thus, elucidate the structure of the peptide. To illustrate this methodology, a comprehensive analysis of five new anti-Mycobacterium tuberculosis peptides (2-6), all analogues of ecumicin (1), was carried out. The method was validated by demonstrating congruence of the HiFSA-based structures with all available data, including MS and 2D NMR. The highly reproducible HiFSA fingerprints of the new ∼1600 amu peptides were generated in this process. Besides oligo-peptides, the HiFSA sequencing approach could be extended to all oligomeric compounds consisting of chains of monomers lacking H-H spin-spin coupling across the moieties. HiFSA sequencing is capable of differentiating complex oligomers that exhibit minor structural differences such as shifted hydoxyl or methyl groups. Because it employs the basic and most sensitive 1D 1H NMR experiment, HiFSA sequencing enables the exploration of peptide analogues up to at least 2000 amu, even with basic contemporary spectrometers and when only sub-milligram amounts of isolates are available.
Keyphrases
- high resolution
- room temperature
- amino acid
- magnetic resonance
- single cell
- mycobacterium tuberculosis
- solid state
- density functional theory
- electronic health record
- single molecule
- big data
- mass spectrometry
- multiple sclerosis
- oxidative stress
- image quality
- transition metal
- molecular docking
- ms ms
- computed tomography
- magnetic resonance imaging
- radiation therapy
- locally advanced
- dual energy