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Teaser, summary, work performed and final results

Periodic Reporting for period 2 - PhotoMutant (Rational Design of Photoreceptor Mutants with Desired Photochemical Properties)

Teaser

Some molecules can absorb visible light which determines their color. These molecules are called chromophores. Nature has utilized these chromophores by embedding them in a protein environment. Proteins that incorporate chromophores are called photoreceptor proteins. Since the...

Summary

Some molecules can absorb visible light which determines their color. These molecules are called chromophores. Nature has utilized these chromophores by embedding them in a protein environment. Proteins that incorporate chromophores are called photoreceptor proteins. Since the protein environment can consist of polar or non-polar, charged or neutral and hydrophobic or hydrophilic amino acids, the absorbed color of the chromophore can be affected. The scope of this project is to understand how the absorption of light is tuned by the protein environment.
The photoreceptor proteins are successfully utilized in a number of technological applications, e.g. the green-fluorescent protein used to visualize spatial and temporal information in cells. However, despite the ground-breaking nature of this utilization in life science and other disciplines, the attempts to design a photoreceptor for a particular application by protein mutation remains an open challenge. This is exactly the scope of the current research project, namely the application of computational methods for the systematic design of biological photoreceptor mutants. A derivation of a comprehensive understanding would pave the way for novel biotechnological applications, e.g. optogenetic tools, fluorescent probes and biosensors.
In the framework of the PhotoMutant project two example of photoreceptor proteins are investigated in detail: Proteorhodopsin and Cyanobacteriochrome. Based on these two proteins the following questions will be answered:
- Which amino acid mutation will shift the absorption of the spectrum?
- What is the maximum shift that can be achieved for the selected proteins?
- Is there a link between the effect of mutation on the spectrum and the excited state reactivity?

Work performed

To understand the spectral tuning mechanism we have studied Slr1393g3, a member of the Cyanobacteriochrome photoreceptor protein family. This protein switches from a red- to a green-absorbing form upon light absorption. We have identified the mechanism of this color tuning by application of hybrid quantum mechanics/molecular mechanics (QM/MM) simulation method. This protein, related to classical phytochromes, carries the open-chain tetrapyrrole chromophore phycocyanobilin. Our calculations have revealed that the effective conjugation length in the chromophore becomes shorter upon conversion from the red to the green form. This is related to the planarity of the entire chromophore. A large distortion is found for the terminal pyrrole rings A and D, however, the D ring contributes stronger to the photoproduct tuning, despite a larger change in the twist of the A ring. Our findings implicate that the D ring twist can be exploited to regulate absorption of the photoproduct. Hence, mutations that affect the D ring twist can lead to rational tuning of the photoproduct absorption that allows tailoring of cyanobacteriochromes for biotechnological applications such as optogenetics and bioimaging.

Further we have studied the primary photochemical reaction of the green-absorbing Proteorhodopsin by the same hybrid QM/MM approach. The simulations are based on a homology model derived from the blue-absorbing Proteorhodopsin crystal structure. The geometry of retinal and the surrounding sidechains in the protein binding pocket were optimized using the QM/MM method. Starting from this geometry the isomerization was studied with a relaxed scan along the C13=C14 dihedral. It revealed an “aborted bicycle pedal” mechanism of isomerization that was originally proposed by Warshel for bovine rhodopsin and bacteriorhodopsin. However, the isomerization involved the concerted rotation about C13=C14 and C15=N, with the latter being highly tiwsted but not isomerized. Further, the simulation showed an increased steric interaction between the hydrogen at the C14 of the isomerizing bond and the hydroxyl group at the neighbouring tyrosine 200. In addition, we have simulated a nonadiabatic trajectory which showed the timing of the isomerization. In the first 20 fs upon excitation the order of the conjugated double and single bonds is inverted, consecutively the C13=C14 rotation is activated for 200 fs until the S1-S0 transition is detected. However, the isomerization is reverted due to the specific interaction with the tyrosine as observed along the relaxed scan calculation. Our simulations indicate that the retinal - tyrosine 200 interaction plays an important role in the outcome of the photoisomerization.

Final results

We have established a computational protocol to calculate and predict absorption spectra in complex systems such as photoreceptor proteins. Previously a single vertical excitation energy calculation was carried out at an equilibrium geometry for small organic chromophores. However, a prerequisite for this approach is the optimize of a minimum on the potential energy surface that can be identified and subsequently used for the calculation of vertical excitation energy. The calculated excitation energy can be represented as a stick spectrum where its height is scaled proportionally to the oscillator strength. However, in a protein the determination of the absolute minimum of the potential energy surface is virtually impossible due to the high number of degrees of freedom and the associated presence of multiple minima. Hence, the calculation of absorption spectrum in a protein requires information about the dynamics of the molecular system beyond the single geometry provided by the crystal structure. In the new protocol we sample molecular conformations by molecular dynamics simulations and subsequently perform a QM/MM relaxation on each sampled geometry (snapshot). The ensemble of these molecular conformations is used for calculating excitation energies.
The application of this protocol will allows to predict the spectral shifts of protein mutants and ultimately lead to design of highly shifted mutations.