Back

Impact of structural sampling, coupling scheme and state of interest on the energy transfer in CP29

Petry, S.; Tremblay, J. C.; Götze, J. P.

2023-01-25 biophysics
10.1101/2023.01.25.525376 bioRxiv
Show abstract

The Qy and Bx excitation energy transfer (EET) in the minor light harvesting complex CP29 (LHCII B4.1) antenna complex of Pisum sativum was characterized using a computational approach. We applied Forster theory (FRET) and the transition density cube (TDC) method estimating the Coulombic coupling, based on a combination of classical molecular dynamics and QM/MM calculations. Employing TDC instead of FRET mostly affects the EET between chlorophylls (Chls) and carotenoids (Crts), as expected due to the Crts being spatially more challenging for FRET. Only between Chls, effects are found to be small (about only 0.1 EET efficiency change when introducing TDC instead of FRET). Effects of structural sampling were found to be small, illustrated by a small average standard deviation for the Qy state coupling elements (FRET/TDC: 0.97/0.94 cm-1). Due to the higher flexibility of the Bx state, the corresponding deviations are larger (FRET/TDC between Chl-Chl pairs: 17.58/22.67 cm-1, between Crt-Chl pairs: 62.58/31.63 cm-1). In summary, it was found for the Q band that the coupling between Chls varies only slightly depending on FRET or TDC, resulting in a minute effect on EET acceptor preference. In contrast, the coupling in the B band spectral region is found to be more affected. Here, the S2 (1Bu) states of the spatially challenging Crts may act as acceptors in addition to the Chl B states. Depending on FRET or TDC, several Chls show different Chl-to-Crt couplings. Interestingly, the EET between Chls or Crts in the B band is found to often outcompete the corresponding decay processes. The individual efficiencies for B band EET to Crts vary however strongly with the chosen coupling scheme (e.g., up to 0.29/0.99 FRET/TDC efficiency for the Chl a604/neoxanthin pair). Thus, the choice of coupling scheme must involve a consideration of the state of interest.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Biochimica et Biophysica Acta (BBA) - Bioenergetics
17 papers in training set
Top 0.1%
21.8%
2
The Journal of Physical Chemistry B
158 papers in training set
Top 0.1%
16.9%
3
The Journal of Physical Chemistry Letters
58 papers in training set
Top 0.1%
7.9%
4
Physical Chemistry Chemical Physics
34 papers in training set
Top 0.1%
6.9%
50% of probability mass above
5
Biophysical Journal
545 papers in training set
Top 2%
3.5%
6
Photosynthesis Research
15 papers in training set
Top 0.1%
3.5%
7
Journal of Chemical Information and Modeling
207 papers in training set
Top 1%
3.5%
8
Proteins: Structure, Function, and Bioinformatics
82 papers in training set
Top 0.3%
2.6%
9
Scientific Reports
3102 papers in training set
Top 46%
2.5%
10
Journal of Chemical Theory and Computation
126 papers in training set
Top 0.4%
2.3%
11
PLOS ONE
4510 papers in training set
Top 49%
2.0%
12
Biochemistry
130 papers in training set
Top 1%
1.3%
13
PLOS Computational Biology
1633 papers in training set
Top 19%
1.3%
14
Chemical Communications
24 papers in training set
Top 0.8%
1.2%
15
Frontiers in Plant Science
240 papers in training set
Top 5%
0.9%
16
International Journal of Molecular Sciences
453 papers in training set
Top 12%
0.9%
17
eLife
5422 papers in training set
Top 57%
0.8%
18
Antioxidants
25 papers in training set
Top 0.5%
0.8%
19
Biophysical Reports
36 papers in training set
Top 0.5%
0.8%
20
Computational and Structural Biotechnology Journal
216 papers in training set
Top 9%
0.8%
21
Frontiers in Molecular Biosciences
100 papers in training set
Top 5%
0.7%
22
Biophysics and Physicobiology
10 papers in training set
Top 0.2%
0.7%
23
Communications Biology
886 papers in training set
Top 26%
0.7%
24
Journal of the American Chemical Society
199 papers in training set
Top 5%
0.7%
25
ChemBioChem
50 papers in training set
Top 1%
0.7%
26
Chemical Science
71 papers in training set
Top 2%
0.6%
27
Chemistry – A European Journal
13 papers in training set
Top 0.7%
0.6%
28
Nucleic Acids Research
1128 papers in training set
Top 20%
0.6%