FP7Individual fellowship2014–2017

ASR-COMPENZDES · Active Site Repurposing – computational design of new enzyme functionalities by emulating nature

FP7 — People (Marie Curie Actions)

Duration
2014-02-01 → 2017-12-31
EU contribution
€261,326
Participants
1
Scheme
MC-IOF

Lines connect the coordinator with its partners.

Results in brief

Active Site Repurposing – computational design of newenzyme functionalities by emulating nature

Proteins, nature's building blocks of live, have distinct three-dimensional structures that are made out of a string of amino acids. In nature there are twenty different types of amino acids that are used to make a protein. In a highly regulated cellular process the amino acids are strung together and arranged into a distinct structure to make proteins. The amino acid sequence is also called the proteins primary structure. It tends to build stable local structure elements, called secondary structure. Those can be spiral structures (helices), elongated stretches (strands) or swirly random structures (loops). With only these twenty building blocks and three structure motifs, nature can build all the proteins we know, through a processes called protein folding, in which the string of amino acids folds into helices, strands and loops, which in turn fold down onto each other to form a stable configuration that represents a low energy state for a particular amino acid sequence. Remarkably, even for small protein structures, this process would take the present time of the universe, if all the conformations it could adopt were explored (commonly referred to as Levinthal's paradox or the protein folding problem). This also means, if we can solve the protein folding problem efficiently, we could make proteins from scratch according to our needs. During the last decades, proteins found wide spread use as drugs to cure diseases or to generate highly pure chemical compounds as well as to degrade environmental pollutants, while at the same time they produce only minimal amounts of waste and exhibit an excellent resource balance. However, for present day applications of protein based nano-materials and general protein engineering applications, very stable building blocks are desirable, but naturally occurring proteins are only marginally stable. We developed a general procedure for designing new protein structures by taking a set of equations first derived by Francis Crick in 1953, which accurately describe helical structures and combining them with sophisticated computational modeling tools. This enabled us to generate new helical protein structures of more or less arbitrary size and with unprecedented stabilities. Our designs are stable above 95°C - a temperature at which most natural proteins have long started to degrade - and in other highly degrading conditions. Only the combination of high temperatures around 100°C and chemicals that degrade proteins made the designs fall apart. This makes our proteins some of the most stable ones ever to be described to date. We want to emphasize that this is an excellent example of how relatively old discoveries can be combined with modern day techniques to build marvelous new things. We are now using this computational approach to custom design hyperstable helical proteins with fine-tuned geometries for a range of biomedical and biotechnological applications. Most interesting to us is their catalytic functionalization, which we are currently working on. This functionalization is facilitated by an approach that we call de novo active-site repurposing. Here, we analyzed naturally occurring binding sites, which are capable of catalyzing a similar reaction to the one we seek and repurpose this machinery to bind a new substrate and/or catalyze another reaction. We have shown that this is possible starting from natural protein structures belonging to the same enzyme-family, with the particular example of an aromatic, nucleophilic substitution reaction that catalyzes the breakdown of a herbicidal compound.

Data: CORDIS, © European Union

Project objective

Computational enzyme design challanges our understanding of molecular enzymology and recognition and has previously been used to generate functional biocatalysts for a hand full of reactions. However, thus far all computationally designed enzymes showed low catalytic efficiency when compared to naturally occurring ones. Evolutionary, new enzyme functions are introduced into nature by amino acid sequence optimization. This is facilitated via repurposing the catalytic machinery of an existing active site from an enzyme with a specific function, for a new/different reaction. Here I propose the utilization of already characterized catalytic geometries derived from natural enzymes for computational enzyme design. Using these machineries for the design of non-natural reactions, I want to redesign mono- and dinuclear metalloenzymes for the catalysis of a nucleophilic aromatic substitution reaction. In particular, we want to design an enzyme that catalyzes the dechlorination of the herbicidal compound atrazine, which was shown to accumulate in soil and ground water and was correlated to increased risk of cancer. The project will involve the construction of a structural database exclusively comprising scaffolds of mononuclear zinc enzymes. The rmaining stages will include calculation and construction of a substrate model, which recapitulates the transition state of the reaction, the actual design calculations as well as computational and rational evaluations thereof. Subsequently, the best designs as judged from calculated energy and chemical intuition, will be experimentally tested. Two already established assays to test for atrazine dechlorination activity are available and will be used to complete this task. If necessary, directed evolution methods will be used to enhance the levels of catalytic efficiency of the designed enzymes. During the return phase, structure determination of active designs in an apo and substrate bound form will be performed.

Original text from CORDIS.

Participants

  • UNIVERSITAET GRAZ · GrazCoordinatorAustria

Links

Data: CORDIS, © European Union