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Computational infrared spectroscopy: Calculation of the amide I absorption of proteins
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.ORCID iD: 0000-0003-1399-748X
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Infrared spectroscopy is an important technique that allows to retrieve structural information from the analysis of absorption spectra. The main application of infrared spectroscopy within life science is the study of the amide I band, which is correlated with protein backbone conformation and, consequently, with the secondary structure of proteins. However, band assignment and interpretation of the infrared spectra is not straightforward.

Therefore, several simulation methods were developed to guide the interpretation of experimental amide I spectra. In this thesis, one of these methods is a normal mode analysis, which is based on the evaluation of the intrinsic vibration of the amide groups and the interactions between them. The calculation considers several effects: transition dipole coupling, nearest neighbor interaction, the local environment effect and the effect of hydrogen bond. From the normal mode analysis, it is possible to obtain the simulated infrared spectrum and the contribution of each amide group to a specific spectral range of the spectrum.

The aim of this thesis and of the included publications is to explain this approach, to improve it and to show its potential. Results from simulations were compared with experimental data for different proteins of interest: amyloid-β oligomers and β-helix proteins. Simulated and experimental infrared spectra showed similar bands. Simulations also provided additional conclusions: they confirmed the random mixing of amyloid-β peptides in oligomers; they suggested that amyloid-β peptides contribute at least two strands in the structure of the oligomers; they revealed that the high wavenumber band, typical of antiparallel β-sheets, can be caused by other secondary structures, but not by parallel β-sheets. In addition, to verify and to improve the accuracy of this approach, simulation results were also put in a direct comparison with results from density functional theory calculations. From this comparison, a new optimal set of parameters for the calculations is suggested.

Place, publisher, year, edition, pages
Stockholm: Department of Biochemistry and Biophysics, Stockholm University , 2020. , p. 63
Keywords [en]
infrared spectroscopy, FTIR, simulation, calculation, amide I, transition dipole coupling, F matrix, protein, amyloid β, oligomers, β-helix
National Category
Chemical Sciences Physical Sciences
Research subject
Biophysics
Identifiers
URN: urn:nbn:se:su:diva-179912ISBN: 978-91-7911-074-1 (print)ISBN: 978-91-7911-075-8 (electronic)OAI: oai:DiVA.org:su-179912DiVA, id: diva2:1414569
Public defence
2020-04-29, Magnélisalen, Kemiska övningslaboratoriet, Svante Arrhenius väg 16B, Stockholm, 10:00 (English)
Opponent
Supervisors
Note

At the time of the doctoral defense, the following paper was unpublished and had a status as follows: Paper 4: Manuscript.

Available from: 2020-04-06 Created: 2020-03-13 Last updated: 2022-02-26Bibliographically approved
List of papers
1. Amyloid beta-peptides 1-40 and 1-42 form oligomers with mixed beta-sheets
Open this publication in new window or tab >>Amyloid beta-peptides 1-40 and 1-42 form oligomers with mixed beta-sheets
2017 (English)In: Chemical Science, ISSN 2041-6520, E-ISSN 2041-6539, Vol. 8, no 12, p. 8247-8254Article in journal (Refereed) Published
Abstract [en]

Two main amyloid-beta peptides of different length (A beta(40) and A beta(42)) are involved in Alzheimer's disease. Their relative abundance is decisive for the severity of the disease and mixed oligomers may contribute to the toxic species. However, little is know about the extent of mixing. To study whether A beta(40) and A beta(42) co-aggregate, we used Fourier transform infrared spectroscopy in combination with C-13-labeling and spectrum calculation and focused on the amide I vibration, which is sensitive to backbone structure. Mixtures of monomeric labeled A beta(40) and unlabeled A beta(42) (and vice versa) were co-incubated for similar to 20 min and their infrared spectrum recorded. The position of the main C-13-amide I' band shifted to higher wavenumbers with increasing admixture of C-12-peptide due to the presence of C-12-amides in the vicinity of C-13-amides. The results indicate that A beta(40) and A beta(42) form mixed oligomers with a largely random distribution of A beta(40) and A beta(42) strands in their beta-sheets. The structures of the mixed oligomers are intermediate between those of the pure oligomers. There is no indication that one of the peptides forces the backbone structure of its oligomers on the other peptide when they are mixed as monomers. We also demonstrate that isotope-edited infrared spectroscopy can distinguish aggregation modulators that integrate into the backbone structure of their interaction partner from those that do not. As an example for the latter case, the pro-inflammatory calcium binding protein S100A9 is shown not to incorporate into the b-sheets of A beta(42).

National Category
Chemical Sciences
Research subject
Biophysics
Identifiers
urn:nbn:se:su:diva-150050 (URN)10.1039/c7sc01743j (DOI)000415877000043 ()
Available from: 2017-12-14 Created: 2017-12-14 Last updated: 2022-03-23Bibliographically approved
2. Insight into the internal structure of amyloid-β oligomers by isotope-edited Fourier transform infrared spectroscopy
Open this publication in new window or tab >>Insight into the internal structure of amyloid-β oligomers by isotope-edited Fourier transform infrared spectroscopy
2019 (English)In: Physical Chemistry, Chemical Physics - PCCP, ISSN 1463-9076, E-ISSN 1463-9084, Vol. 21, no 16, p. 8587-8597Article in journal (Refereed) Published
Abstract [en]

The internal structure of amyloid-β (Aβ) oligomers was investigated with isotope-edited Fourier transform infrared spectroscopy. Homo-oligomers of Aβ(40) and Aβ(42) were prepared from unlabeled and C-13, N-15-labeled monomeric Aβ and from mixtures of these. For the unlabeled peptides, two main bands were observed in (H2O)-H-2 at 1685 and 1622 cm(-1) for Aβ(40) and at 1685 and 1626 cm(-1) for Aβ(42). These band positions indicate that the number of strands per sheet is at least four. The obtained experimental amide I spectra were simulated using a number of structural models (antiparallel β-sheets, β-barrels and a dodecamer structure). According to experiments and calculations, the main C-13-band shifts down at increasing molar ratio of labeled peptides. This shift occurs when vibrational coupling becomes possible between C-13-amide groups in close-by strands. It is small, when intervening C-12-strands increase the distance between C-13-strands; it is large, when many neighboring strands are labeled. The shift depends on the internal structure of the peptides within the oligomers, i.e. on the building block that each peptide molecule contributes to the β-sheets of the oligomers. The shift is largest, when individual peptides contribute just a single strand surrounded by strands from other peptide molecules. It is smaller when each molecule forms two or three adjacent strands. As indicated by a comparison between experiment and computation, the number of adjacent β-strands per peptide molecule is two for Aβ(40) oligomers and two or more for Aβ(42) oligomers. Our results are well explained by regular, antiparallel β-sheets or β-barrels.

National Category
Chemical Sciences Physical Sciences
Research subject
Biophysics
Identifiers
urn:nbn:se:su:diva-170149 (URN)10.1039/c9cp00717b (DOI)000465603200036 ()30964131 (PubMedID)
Available from: 2019-06-26 Created: 2019-06-26 Last updated: 2022-03-23Bibliographically approved
3. The Amide I Spectrum of Proteins—Optimization of Transition Dipole Coupling Parameters Using Density Functional Theory Calculations
Open this publication in new window or tab >>The Amide I Spectrum of Proteins—Optimization of Transition Dipole Coupling Parameters Using Density Functional Theory Calculations
2020 (English)In: Journal of Physical Chemistry B, ISSN 1520-6106, E-ISSN 1520-5207, Vol. 124, no 9, p. 1703-1714Article in journal (Refereed) Published
Abstract [en]

The amide I region of the infrared spectrum is related to the protein backbone conformation and can provide important structural information. However, the interpretation of the experimental results is hampered because the theoretical description of the amide I spectrum is still under development. Quantum mechanical calculations, for example, using density functional theory (DFT), can be used to study the amide I spectrum of small systems, but the high computational cost makes them inapplicable to proteins. Other approaches that solve the eigenvalues of the coupled amide I oscillator system are used instead. An important interaction to be considered is transition dipole coupling (TDC). Its calculation depends on the parameters of the transition dipole moment. This work aims to find the optimal parameters for TDC in three major secondary structures: α-helices, antiparallel β-sheets, and parallel β-sheets. The parameters were suggested through a comparison between DFT and TDC calculations. The comparison showed a good agreement for the spectral shape and for the wavenumbers of the normal modes for all secondary structures. The matching between the two methods improved when hydrogen bonding to the amide oxygen was considered. Optimal parameters for individual secondary structures were also suggested.

National Category
Theoretical Chemistry
Research subject
Biophysics
Identifiers
urn:nbn:se:su:diva-179656 (URN)10.1021/acs.jpcb.9b11793 (DOI)000518702800013 ()
Available from: 2020-03-03 Created: 2020-03-03 Last updated: 2022-02-26Bibliographically approved
4. The amide I spectrum of parallel β-sheet proteins
Open this publication in new window or tab >>The amide I spectrum of parallel β-sheet proteins
Show others...
(English)Manuscript (preprint) (Other academic)
Abstract [en]

The amide I absorption of the polypeptide backbone has long been used to analyze the secondary structure of proteins. This approach has gained additional attention in the context of amyloid diseases where a particular focus is on the distinction between parallel and antiparallel β-sheets because these structures often discriminate between pre-fibrillar structures and fibrils. Some earlier infrared spectra with typical features of antiparallel β-sheets were interpreted as arising from the parallel β-sheets of fibrils. Therefore, the ability of infrared spectroscopy to distinguish between both types of β-sheets is debated. While it is established that regular, antiparallel β-sheets give rise to a high wavenumber band near 1690 cm-1, it is less clear whether or not this band may also occur for parallel β-sheets. Here we present and analyze the amide I spectra of two β-helix proteins, SV2 and Pent. The overall shape of the proteins is that of a cuboid which has parallel β-sheets on its four sides, which are connected by bends. The main features of their amide I spectrum are a band at 1665, and two bands between 1645 and 1628 cm-1. Both proteins exhibit also a weak component band near 1690 cm-1. Calculations of the amide I spectrum indicate that the absorption at high wavenumbers is not caused by the parallel β-sheets but by the bends between the β-strands. We therefore suggest to modify the interpretation of the amide I spectrum as follows: a high wavenumber band near 1690 cm-1 may be caused by other structures than antiparallel β-sheets. However, when the spectrum consists of only two distinct bands, one near 1690 cm-1 and one near 1630 cm-1, then an assignment to antiparallel β-sheets is consistent with the literature.

National Category
Chemical Sciences
Research subject
Biophysics
Identifiers
urn:nbn:se:su:diva-179658 (URN)
Available from: 2020-03-03 Created: 2020-03-03 Last updated: 2022-02-26Bibliographically approved

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