De Novo Enzyme Design Using Rosetta3

The Rosetta de novo enzyme design protocol has been used to design enzyme catalysts for a variety of chemical reactions, and in principle can be applied to any arbitrary chemical reaction of interest, The process has four stages: 1) choice of a catalytic mechanism and corresponding minimal model active site, 2) identification of sites in a set of scaffold proteins where this minimal active site can be realized, 3) optimization of the identities of the surrounding residues for stabilizing interactions with the transition state and primary catalytic residues, and 4) evaluation and ranking the resulting designed sequences. Stages two through four of this process can be carried out with the Rosetta package, while stage one needs to be done externally. Here, we demonstrate how to carry out the Rosetta enzyme design protocol from start to end in detail using for illustration the triosephosphate isomerase reaction

De Novo Enzyme Design Using Rosetta3

The Rosetta de novo enzyme design protocol has been used to design enzyme catalysts for a variety of chemical reactions, and in principle can be applied to any arbitrary chemical reaction of interest, The process has four stages: 1) choice of a catalytic mechanism and corresponding minimal model active site, 2) identification of sites in a set of scaffold proteins where this minimal active site can be realized, 3) optimization of the identities of the surrounding residues for stabilizing interactions with the transition state and primary catalytic residues, and 4) evaluation and ranking the resulting designed sequences. Stages two through four of this process can be carried out with the Rosetta package, while stage one needs to be done externally. Here, we demonstrate how to carry out the Rosetta enzyme design protocol from start to end in detail using for illustration the triosephosphate isomerase reaction

Molecular Simulation of Enzyme Catalysis and Inhibition

The reaction mechanisms for the hemoglobin degrading enzymes in the Plasmodium falciparum malaria parasite, plasmepsin II (Plm II) and histo-aspartic protease (HAP), have been analyzed by molecular simulations. The reaction free energy profiles, calculated by the empirical valence bond (EVB) method in combination with molecular dynamics (MD) and free energy perturbation (FEP) simulations are in good agreement with experimental data. Additional computational methods, such as homology modelling and automated substrate docking, were necessary to generate a 3D model and a reactive substrate conformation before the reaction mechanism in HAP could be investigated. HAP is found to be an aspartic protease with a peptide cleaving mechanism similar to plasmepsin II. The major difference between these enzymes is that the negatively charged tetrahedral intermediate is stabilized by the charged histidine in HAP while in Plm II it is a neutral aspartic acid. Also the reaction mechanism for two other aspartic proteases, cathepsin D and HIV-1 protease, was simulated. These enzymes are relevant both for the inhibitor selectivity and for obtaining a general picture of catalysis in aspartic proteases. Another project involves inhibitor design towards plasmepsins. In particular, Plm II directed inhibitors based on the dihydroxyethylene scaffold have been characterized computationally. Molecular dynamics (MD) simulations were used to propagate the investigated system through time and to generate ensembles used for the calculation of free energies. The ligand binding affinities were calculated with the linear interaction energy (LIE) method. The most potent inhibitor had a Ki value of 6 nM and showed 78 % parasite inhibition when tested on red blood cells infected by malaria parasite P. falciparum. Citrate synthase is part of the citric acid cycle and is present in organisms that live in cold sea water as well as hot springs. The temperature adaptation of citrate synthase to cold and heat was investigated in terms of the difference in transition state stabilization between the psychrophilic, mesophilic and hyperthermophilic homologues. The EVB, FEP and MD methods were used to generate reaction free energy profiles. The investigated energetics points toward the electrostatic stabilization during the reaction as the major difference between the different citrate synthase homologues. The electrostatic stabilization of the transition state is most effective in the following order of the citrate synthase homologues: hyperthermophile, mesophile, psycrophile. This could be a general rule for temperature adaptation of enzyme catalysis

Molecular Simulation of Enzyme Catalysis and Inhibition

The reaction mechanisms for the hemoglobin degrading enzymes in the Plasmodium falciparum malaria parasite, plasmepsin II (Plm II) and histo-aspartic protease (HAP), have been analyzed by molecular simulations. The reaction free energy profiles, calculated by the empirical valence bond (EVB) method in combination with molecular dynamics (MD) and free energy perturbation (FEP) simulations are in good agreement with experimental data. Additional computational methods, such as homology modelling and automated substrate docking, were necessary to generate a 3D model and a reactive substrate conformation before the reaction mechanism in HAP could be investigated. HAP is found to be an aspartic protease with a peptide cleaving mechanism similar to plasmepsin II. The major difference between these enzymes is that the negatively charged tetrahedral intermediate is stabilized by the charged histidine in HAP while in Plm II it is a neutral aspartic acid. Also the reaction mechanism for two other aspartic proteases, cathepsin D and HIV-1 protease, was simulated. These enzymes are relevant both for the inhibitor selectivity and for obtaining a general picture of catalysis in aspartic proteases. Another project involves inhibitor design towards plasmepsins. In particular, Plm II directed inhibitors based on the dihydroxyethylene scaffold have been characterized computationally. Molecular dynamics (MD) simulations were used to propagate the investigated system through time and to generate ensembles used for the calculation of free energies. The ligand binding affinities were calculated with the linear interaction energy (LIE) method. The most potent inhibitor had a Ki value of 6 nM and showed 78 % parasite inhibition when tested on red blood cells infected by malaria parasite P. falciparum. Citrate synthase is part of the citric acid cycle and is present in organisms that live in cold sea water as well as hot springs. The temperature adaptation of citrate synthase to cold and heat was investigated in terms of the difference in transition state stabilization between the psychrophilic, mesophilic and hyperthermophilic homologues. The EVB, FEP and MD methods were used to generate reaction free energy profiles. The investigated energetics points toward the electrostatic stabilization during the reaction as the major difference between the different citrate synthase homologues. The electrostatic stabilization of the transition state is most effective in the following order of the citrate synthase homologues: hyperthermophile, mesophile, psycrophile. This could be a general rule for temperature adaptation of enzyme catalysis

Molecular Simulation of Enzyme Catalysis and Inhibition

The reaction mechanisms for the hemoglobin degrading enzymes in the Plasmodium falciparum malaria parasite, plasmepsin II (Plm II) and histo-aspartic protease (HAP), have been analyzed by molecular simulations. The reaction free energy profiles, calculated by the empirical valence bond (EVB) method in combination with molecular dynamics (MD) and free energy perturbation (FEP) simulations are in good agreement with experimental data. Additional computational methods, such as homology modelling and automated substrate docking, were necessary to generate a 3D model and a reactive substrate conformation before the reaction mechanism in HAP could be investigated. HAP is found to be an aspartic protease with a peptide cleaving mechanism similar to plasmepsin II. The major difference between these enzymes is that the negatively charged tetrahedral intermediate is stabilized by the charged histidine in HAP while in Plm II it is a neutral aspartic acid. Also the reaction mechanism for two other aspartic proteases, cathepsin D and HIV-1 protease, was simulated. These enzymes are relevant both for the inhibitor selectivity and for obtaining a general picture of catalysis in aspartic proteases. Another project involves inhibitor design towards plasmepsins. In particular, Plm II directed inhibitors based on the dihydroxyethylene scaffold have been characterized computationally. Molecular dynamics (MD) simulations were used to propagate the investigated system through time and to generate ensembles used for the calculation of free energies. The ligand binding affinities were calculated with the linear interaction energy (LIE) method. The most potent inhibitor had a Ki value of 6 nM and showed 78 % parasite inhibition when tested on red blood cells infected by malaria parasite P. falciparum. Citrate synthase is part of the citric acid cycle and is present in organisms that live in cold sea water as well as hot springs. The temperature adaptation of citrate synthase to cold and heat was investigated in terms of the difference in transition state stabilization between the psychrophilic, mesophilic and hyperthermophilic homologues. The EVB, FEP and MD methods were used to generate reaction free energy profiles. The investigated energetics points toward the electrostatic stabilization during the reaction as the major difference between the different citrate synthase homologues. The electrostatic stabilization of the transition state is most effective in the following order of the citrate synthase homologues: hyperthermophile, mesophile, psycrophile. This could be a general rule for temperature adaptation of enzyme catalysis

Prediction of Protein-Protein Binding Interactions in Dimeric Coiled Coils by Information Contained in Folding Energy Landscapes

Coiled coils represent the simplest form of a complex formed between two interacting protein partners. Their extensive study has led to the development of various methods aimed towards the investigation and design of complex forming interactions. Despite the progress that has been made to predict the binding affinities for protein complexes, and specifically those tailored towards coiled coils, many challenges still remain. In this work, we explore whether the information contained in dimeric coiled coil folding energy landscapes can be used to predict binding interactions. Using the published SYNZIP dataset, we start from the amino acid sequence, to simultaneously fold and dock approximately 1000 coiled coil dimers. Assessment of the folding energy landscapes showed that a model based on the calculated number of clusters for the lowest energy structures displayed a signal that correlates with the experimentally determined protein interactions. Although the revealed correlation is weak, we show that such correlation exists; however, more work remains to establish whether further improvements can be made to the presented model

Evaluation of residue variability in a conformation-specific context and during evolutionary sequence reconstruction narrows drug resistance selection in Abl1 tyrosine kinase

Diseases with readily available therapies may eventually prevail against the specific treatment by the acquisition of resistance. The constitutively active Abl1 tyrosine kinase known to cause chronic myeloid leukemia is an example, where patients may experience relapse after small inhibitor drug treatment. Mutations in the Abl1 tyrosine kinase domain (Abl1-KD) are a critical source of resistance and their emergence depends on the conformational states that have been observed experimentally: the inactive state, the active state, and the intermediate inactive state that resembles Src kinase. Understanding how resistant positions and amino acid identities are determined by selection pressure during drug treatment is necessary to improve future drug development or treatment decisions. We carry out in silico site-saturation mutagenesis over the Abl1-KD structure in a conformational context to evaluate the in situ and conformational stability energy upon mutation. Out of the 11 studied resistant positions, we determined that 7 of the resistant mutations favored the active conformation of Abl1-KD with respect to the inactive state. When, instead, the sequence optimization was modeled simultaneously at resistant positions, we recovered five known resistant mutations in the active conformation. These results suggested that the Abl1 resistance mechanism targeted substitutions that favored the active conformation. Further sequence variability, explored by ancestral reconstruction in Abl1-KD, showed that neutral genetic drift, with respect to amino acid variability, was specifically diminished in the resistant positions. Since resistant mutations are susceptible to chance with a certain probability of fixation, combining methodologies outlined here may narrow and limit the available sequence space for resistance to emerge, resulting in more robust therapeutic treatments over time

Tuning the binding interface between Machupo virus glycoprotein and human transferrin receptor

Machupo virus, known to cause hemorrhagic fevers, enters human cells via binding with its envelope glycoprotein to transferrin receptor 1 (TfR). Similarly, the receptor interactions have been explored in biotechnological applications as a molecular system to ferry therapeutics across the cellular membranes and through the impenetrable blood-brain barrier that effectively blocks any such delivery into the brain. Study of the experimental structure of Machupo virus glycoprotein 1 (MGP1) in complex with TfR and glycoprotein sequence homology has identified some residues at the interface that influence binding. There are, however, no studies that have attempted to optimize the binding potential between MGP1 and TfR. In pursuits for finding therapeutic solutions for the New World arenaviruses, and to gain a greater understanding of MGP1 interactions with TfR, it is crucial to understand the structure-sequence relationship driving the interface formation. By displaying MGP1 on yeast surface we have examined the contributions of individual residues to the binding of solubilized ectodomain of TfR. We identified MGP1 binding hot spot residues, assessed the importance of posttranslational N-glycan modifications, and used a selection with random mutagenesis for affinity maturation. We show that the optimized MGP1 variants can bind more strongly to TfR than the native MGP1, and there is an MGP1 sequence that retains binding in the absence of glycosylation, but with the addition of further amino acid substitutions. The engineered variants can be used to probe cellular internalization or the blood-brain barrier crossing to achieve greater understanding of TfR mediated internalization

Motif-driven protein binder design towards transferrin receptor helical domain

Human transferrin receptor 1 (TfR) is necessary for the delivery of the iron carrier protein transferrin into cells and can be utilized for targeted delivery across cellular membranes. Binding of transferrin to the receptor is regulated by hereditary hemochromatosis protein (HFE), an iron regulatory protein that partly shares a binding site with transferrin on TfR. Here, we derived essential binding interactions from HFE and computationally grafted these into a library of small protein scaffolds. One of the designed proteins, TB08, was further optimized computationally and experimentally to identify variants with improved binding to TfR. The optimized variant, TB08 S3.1, expressed well in the E. coli expression system and had an affinity to TfR in the low micromolar range, K-d approximate to 1 mu m, as determined by surface plasmon resonance. A binding competition assay with transferrin further confirmed the interaction of the evolved variant to TfR at the shared binding surface. Additionally, the GFP-tagged evolved variant of TB08 demonstrated cellular internalization as determined by fluorescent and confocal microscopy in HeLa cells. The designed protein is small, allows for robust cargo tagging, and interacts specifically with TfR, thus making it a valuable tool for the characterization of TfR-mediated cellular transport mechanisms and for the assessment of engineering strategies for cargo delivery across cell membranes

Enantioselective Enzymes by Computational Design and In Silico Screening

Computational enzyme design holds great promise for providing new biocatalysts for synthetic chemistry. A strategy to design small mutant libraries of complementary enantioselective epoxide hydrolase variants for the production of highly enantioenriched (S,S)-diols and (R,R)-diols is developed. Key features of this strategy (CASCO, catalytic selectivity by computational design) are the design of mutations that favor binding of the substrate in a predefined orientation, the introduction of steric hindrance to prevent unwanted substrate binding modes, and ranking of designs by high-throughput molecular dynamics simulations. Using this strategy we obtained highly stereoselective mutants of limonene epoxide hydrolase after experimental screening of only 37 variants. The results indicate that computational methods can replace a substantial amount of laboratory work when developing enantioselective enzymes