Rational design of a zinc phthalocyanine binding protein

Phthalocyanines have long been used as primary donor molecules in synthetic light-powered devices due to their superior properties when compared to natural light activated molecules such as chlorophylls. Their use in biological contexts, however, has been severely restricted due to their high degree of self-association, and its attendant photoquenching, in aqueous environments. To this end we report the rational redesign of a de novo four helix bundle di-heme binding protein into a heme and Zinc(II) phthalocyanine (ZnPc) dyad in which the ZnPc is electronically and photonically isolated. The redesign required transformation of the homodimeric protein into a single chain four helix bundle and the addition of a negatively charge sulfonate ion to the ZnPc macrocycle. To explore the role of topology on ZnPc binding two constructs were made and the resulting differences in affinity can be explained by steric interference of the newly added connecting loop. Singular binding of ZnPc was verified by absorption, fluorescence, and magnetic circular dichroism spectroscopy. The engineering guidelines determined here, which enable the simple insertion of a monomeric ZnPc binding site into an artificial helical bundle, are a robust starting point for the creation of functional photoactive nanodevices.     

The binding of ligand by an associating protein system

A method is developed for computing from experimental data the equilibrium constants characterizing the coupled processes of ligand binding and self-association of a protein. The consequences of interactions of this kind with respect to the co-operativity of both processes are also examined.     

Rational drug design via intrinsically disordered protein

Despite substantial increases in research funding by the pharmaceutical industry, drug discovery rates seem to have reached a plateau or perhaps are even declining, suggesting the need for new strategies. Protein-protein interactions have long been thought to provide interesting drug discovery targets, but the development of small molecules that modulate such interactions has so far achieved a low success rate. In contrast to this historic trend, a few recent successes raise hopes for routinely identifying druggable protein-protein interactions. In this Opinion article, we point out the importance of coupled binding and folding for protein-protein signalling interactions generally, and from this and associated observations, we develop a new strategy for identifying protein-protein interactions that would be particularly promising targets for modulation by small molecules. This novel strategy, based on intrinsically disordered protein, has the potential to increase significantly the discovery rate for new molecule entities.     

Rational design of lipid for membrane protein crystallization

The lipidic cubic phase has been used to grow crystals of membrane proteins for high-resolution structure determination. However, the original, so-called, in meso method does not work reliably at low temperatures, where proteins are generally more stable, because the hosting lipid turns solid. The need existed therefore for a lipid that forms the cubic phase and that supports crystal growth at low temperatures. We created a database of phase diagrams and used it to design such a lipid. X-ray diffraction showed that the new lipid exhibits designed phase behavior. Further, it produces diffraction quality membrane protein crystals by the in meso method at 6 degrees C. This demonstrates that lipidic materials, like their protein counterparts are amenable to rational design. The same approach as used in this study should find application in extending the range of membrane proteins crystallizable by the in meso method and in tailoring transport of cubic phases for controlled delivery and uptake.     

Rational design of responsive self-assembling peptides from native protein sequences

This study used identified functional native domains from spider flagelliform silk protein and the Ca(2+) binding domain of lipase Lip A from Serratia marcescens . After carefully comparing the primary structures of both sequences, we rationally designed a newly sequenced eD(2) by "hiding" the ion binding sequence in the silk structure sequence. This helped avoid redundancy, and the new sequence had properties of both model sequences. In water, eD(2) formed uniform spherical agglomerates with a β-spiral structure. Triggered by Ca(2+), eD(2) formed nanofibers with higher compliance and thermal stability. We demonstrated the specialties of this novel peptide design by changing the pH, using other metal ions, and mutating the model sequence.     

Rational and random strategies for the mimicry of discontinuous protein binding sites

The high technical standard of current peptide chemistry, which has evolved over the past three decades, has profoundly facilitated the investigation of proteins and their interactions with other molecules at the level of individual amino acids. Using currently available peptide synthesis methods, sequentially continuous protein binding sites can be readily mapped, characterized, optimized, and used as lead compounds for inhibitors of protein-ligand interactions. The mimicry of sequentially discontinuous protein binding sites, on the other hand, continues to present a challenge for peptide and organic chemists. This mini-review summarizes currently used and emerging, rational and random strategies for the design of synthetic mimetics of discontinuous protein binding sites.     

Recapitulation and design of protein binding peptide structures and sequences

An important objective of computational protein design is the generation of high affinity peptide inhibitors of protein-peptide interactions, both as a precursor to the development of therapeutics aimed at disrupting disease causing complexes, and as a tool to aid investigators in understanding the role of specific complexes in the cell. We have developed a computational approach to increase the affinity of a protein-peptide complex by designing N or C-terminal extensions which interact with the protein outside the canonical peptide binding pocket. In a first in silico test, we show that by simultaneously optimizing the sequence and structure of three to nine residue peptide extensions starting from short (1-6 residue) peptide stubs in the binding pocket of a peptide binding protein, the approach can recover both the conformations and the sequences of known binding peptides. Comparison with phage display and other experimental data suggests that the peptide extension approach recapitulates naturally occurring peptide binding specificity better than fixed backbone design, and that it should be useful for predicting peptide binding specificities from crystal structures. We then experimentally test the approach by designing extensions for p53 and dystroglycan-based peptides predicted to bind with increased affinity to the Mdm2 oncoprotein and to dystrophin, respectively. The measured increases in affinity are modest, revealing some limitations of the method. Based on these in silico and experimental results, we discuss future applications of the approach to the prediction and design of protein-peptide interactions.     

Rational design of modular allosteric aptamer sensor for label-free protein detection

An aptamer can be redesigned to new functional molecules by conjugating with other oligonucleotides. However, it requires experimental trials to optimize the conjugating module with the sensitivity and selectivity toward a target. To reduce these efforts, we report rationally-designed modular allosteric aptamer sensor (MAAS), which is composed of coupled two aptamers and the regulator. For label-free protein detection, the protein-aptamer was conjugated with the malachite green (MG) aptamer for signaling. The MAAS additionally has the regulator domain which is designed to hybridize to a protein binding domain. The regulator makes MAAS to be inactive by destructing the original structure of the two aptamers. However, its conformation becomes active by dissociating the hybridization from the protein recognition signal, thereby inducing the binding of MG emitting the enhanced fluorescence. The design of regulator is based on the thermodynamic energy difference by the RNA conformational change and protein-aptamer affinity. Here we first demonstrated the MAAS for hepatitis C helicase and replicase. The target proteins were detected up to 250nM with minimized blank signals and displayed high specificities 10-fold greater than in non-specific proteins. The MAAS provides valuable tools that can be adapted to a wide range of configurations in bioanalytical applications.     

Rational design of new binding specificity by simultaneous mutagenesis of calmodulin and a target peptide

Calcium-saturated calmodulin (CaM) binds and influences the activity of a varied collection of target proteins in most cells. This promiscuity underlies the role of CaM as a shared participant in calcium-dependent signal transduction pathways but imposes a handicap on popular CaM-based calcium biosensors, which display an undesired tendency to cross-react with cellular proteins. Designed CaM/target pairs that retain high affinity for one another but lack affinity for wild-type CaM and its natural interaction partners would therefore be useful as sensor components and possibly also as elements of "synthetic" cellular-signaling networks. Here, we have adopted a rational approach to creating suitably modified CaM/target complexes by using computational design methods to guide parallel site-directed mutagenesis of both binding partners. A hierarchical design procedure was applied to suggest a small number of complementary mutations on CaM and on a peptide ligand derived from skeletal-muscle light-chain kinase (M13). Experimental analysis showed that the procedure was successful in identifying CaM and M13 mutants with novel specificity for one another. Importantly, the designed complexes retained an affinity comparable to the wild-type CaM/M13 complex. These results represent a step toward the creation of CaM and M13 derivatives with specificity fully orthogonal to the wild-type proteins and show that qualitatively accurate predictions may be obtained from computational methods applied simultaneously to two proteins involved in multiple-linked binding equilibria.     

Rational design of pyrrolo

Models have been developed for the interaction of the pyrrolo[1,2-a]benzimidazole (PBI) antitumor agents with the two-electron activating enzyme DT-diaphorase and the DNA major groove. The DT-diaphorase model and experimental results indicate that the S-enantiomer of 3-carbamido PBI can enantioselect ovarian cancers. The reduced PBI interacts with the DNA major groove at AT base pairs by forming Hoogsteen-like hydrogen bonds. The reduced 3-amino PBI forms three hydrogen bonds in the major groove with the amino group acting as an H-bond donor to the thymine carbonyl. The DNA-binding model will permit the design of major groove recognition agents.     

Modulating calmodulin binding specificity through computational protein design

We report the computational redesign of the protein-binding interface of calmodulin (CaM), a small, ubiquitous Ca(2+)-binding protein that is known to bind to and regulate a variety of functionally and structurally diverse proteins. The CaM binding interface was optimized to improve binding specificity towards one of its natural targets, smooth muscle myosin light chain kinase (smMLCK). The optimization was performed using optimization of rotamers by iterative techniques (ORBIT), a protein design program that utilizes a physically based force-field and the Dead-End Elimination theorem to compute sequences that are optimal for a given protein scaffold. Starting from the structure of the CaM-smMLCK complex, the program considered 10(22) amino acid residue sequences to obtain the lowest-energy CaM sequence. The resulting eightfold mutant, CaM_8, was constructed and tested for binding to a set of seven CaM target peptides. CaM_8 displayed high binding affinity to the smMLCK peptide (1.3nM), similar to that of the wild-type protein (1.8nM). The affinity of CaM_8 to six other target peptides was reduced, as intended, by 1.5-fold to 86-fold. Hence, CaM_8 exhibited increased binding specificity, preferring the smMLCK peptide to the other targets. Studies of this type may increase our understanding of the origins of binding specificity in protein-ligand complexes and may provide valuable information that can be used in the design of novel protein receptors and/or ligands.     

Rational protein design for thermostabilization of glycoside hydrolases based on structural analysis

Glycosidases are used in the food, chemical, and energy industries. These proteins are some of the most frequently used such enzymes, and their thermostability is essential for long-term and/or repeated use. In addition to thermostability, modification of the substrate selectivity and improvement of the glycosidase activities are also important. Thermostabilization of enzymes can be performed by directed evolution via random mutagenesis or by rational design via site-directed mutagenesis; each approach has advantages and disadvantages. In this paper, we introduce thermostabilization of glycoside hydrolases by rational protein design using site-directed mutagenesis along with X-ray crystallography and simulation modeling. We focus on the methods of thermostabilization of glycoside hydrolases by linking the N- and C-terminal ends, introducing disulfide bridges, and optimizing β-turn structures to promote hydrophobic interactions.

     

Rational design of green fluorescent protein mutants as biosensor for bacterial endotoxin

Enhanced green fluorescent protein (EGFP) was selected as a signalling scaffold protein for design of a fluorescent biosensor for bacterial endotoxin [or lipopolysaccharide (LPS)]. Virtual mutagenesis was utilized to model EGFP variants containing binding sites for LPS and lipid A (LA), the bioactive component of LPS. Cationic amphipathic sequences of five alternating basic and hydrophobic residues were introduced to beta-sheets located on the surface of EGFP barrel, in the vicinity of the chromophore. Computational methods were employed to predict binding affinity of Escherichia coli LA, to the models of virtual EGFP mutants. DNA mutant constructs of five predicted best binding EGFP variants were expressed in COS-1 cells. The EGFP-mutant proteins exhibited differential expression and variable degrees of fluorescence yield at 508 nm. The EGFP mutants showed a range of LA binding affinities that corresponded to the computational predictions. LPS/LA binding to the mutants caused concentration-dependent fluorescence quenching. The EGFP mutant, G10 bearing LPS/LA amphipathic binding motif in the vicinity of the chromophore (YLSTQ(200-204)-->KLKTK) captured LA with a dissociation constant of 8.5 microm. G10 yielded the highest attenuation of fluorescence intensity in the presence of LPS/LA and demonstrated capability in fluorescence-mediated quantitative detection of LPS in endotoxin-contaminated samples. Thus, the EGFP mutant can form the basis of a novel fluorescent biosensor for bacterial endotoxin.     

Rational design of analyte channels of the green fluorescent protein for biosensor applications

A novel solvent-exposed analyte channel, generated by F165G substitution, on the surface of green fluorescent protein (designated His(6)GFPuv/F165G) was successfully discovered by the aid of molecular modeling software (PyMOL) in conjunction with site-directed mutagenesis. Regarding the high predictive performance of PyMOL, two pore-containing mutants namely His(6)GFPuv/H148G and His(6)GFPuv/H148G/F165G were also revealed. The pore sizes of F165G, H148G, and the double mutant H148G/F165G were in the order of 4, 4.5 and 5.5 A, respectively. These mutants were subjected to further investigation on the effect of small analytes (e.g. metal ions and hydrogen peroxide) as elucidated by fluorescence quenching experiments. Results revealed that the F165G mutant exhibited the highest metal sensitivity at physiological pH. Meanwhile, the other 2 mutants lacking histidine at position 148 had lower sensitivity against Zn(2+) and Cu(2+) than those of the template protein (His(6)GFPuv). Hence, a significant role of this histidine residue in mediating metal transfer toward the GFP chromophore was proposed and evidently demonstrated by testing in acidic condition. Results revealed that at pH 6.5 the order of metal sensitivity was found to be inverted whereby the H148G/F165G became the most sensitive mutant. The dissociation constants (K(d)) to metal ions were in the order of 4.88 x 10(-6) M, 16.67 x 10(-6) M, 25 x 10(-6) M, and 33.33 x 10(-6) M for His(6)GFPuv/F165G, His(6)GFPuv, His(6)GFPuv/H148G/F165G and His(6)GFPuv/H148G, respectively. Sensitivity against hydrogen peroxide was in the order of H148G/F165G > H148G > F165G indicating the crucial role of pore diameters. However, it should be mentioned that H148G substitution caused a markedly decrease in pH- and thermo-stability. Taken together, our findings rendered the novel pore of GFP as formed by F165G substitution to be a high impact channel without adversely affecting the intrinsic fluorescent properties. This opens up a great potential of using F165G mutant in enhancing the sensitivity of GFP in future development of biosensors.     

Structures of adnectin/protein complexes reveal an expanded binding footprint

1. Download : Download high-res image (141KB)
2. Download : Download full-size image

Highlights? Adnectins interact with targets using multiple binding modes ? Residues outside of the diversified loops can interact with ligand ? Some fixed scaffold residues contribute to the binding energy ? Adnectins can interact with epitopes that may be inaccessible to antibodies     

Discovering amino acid patterns on binding sites in protein complexes

Discovering amino acid (AA) patterns on protein binding sites has recently become popular. We propose a method to discover the association relationship among AAs on binding sites. Such knowledge of binding sites is very helpful in predicting protein-protein interactions. In this paper, we focus on protein complexes which have protein-protein recognition. The association rule mining technique is used to discover geographically adjacent amino acids on a binding site of a protein complex. When mining, instead of treating all AAs of binding sites as a transaction, we geographically partition AAs of binding sites in a protein complex. AAs in a partition are treated as a transaction. For the partition process, AAs on a binding site are projected from three-dimensional to two-dimensional. And then, assisted with a circular grid, AAs on the binding site are placed into grid cells. A circular grid has ten rings: a central ring, the second ring with 6 sectors, the third ring with 12 sectors, and later rings are added to four sectors in order. As for the radius of each ring, we examined the complexes and found that 10Å is a suitable range, which can be set by the user. After placing these recognition complexes on the circular grid, we obtain mining records (i.e. transactions) from each sector. A sector is regarded as a record. Finally, we use the association rule to mine these records for frequent AA patterns. If the support of an AA pattern is larger than the predetermined minimum support (i.e. threshold), it is called a frequent pattern. With these discovered patterns, we offer the biologists a novel point of view, which will improve the prediction accuracy of protein-protein recognition. In our experiments, we produced the AA patterns by data mining. As a result, we found that arginine (arg) most frequently appears on the binding sites of two proteins in the recognition protein complexes, while cysteine (cys) appears the fewest. In addition, if we discriminate the shape of binding sites between concave and convex further, we discover that patterns {arg, glu, asp} and {arg, ser, asp} on the concave shape of binding sites in a protein more frequently (i.e. higher probability) make contact with {lys} or {arg} on the convex shape of binding sites in another protein. Thus, we can confidently achieve a rate of at least 78%. On the other hand {val, gly, lys} on the convex surface of binding sites in proteins is more frequently in contact with {asp} on the concave site of another protein, and the confidence achieved is over 81%. Applying data mining in biology can reveal more facts that may otherwise be ignored or not easily discovered by the naked eye. Furthermore, we can discover more relationships among AAs on binding sites by appropriately rotating these residues on binding sites from a three-dimension to two-dimension perspective. We designed a circular grid to deposit the data, which total to 463 records consisting of AAs. Then we used the association rules to mine these records for discovering relationships. The proposed method in this paper provides an insight into the characteristics of binding sites for recognition complexes.     

Rational design of a mononuclear metal site into the archaeal Rieske-type protein scaffold

Proteins containing Rieske-type [2Fe-2S] clusters play essential functions in all three domains of life. We engineered the two histidine ligands to the Rieske-type [2Fe-2S] cluster in the hyperthermophilic archaeal Rieske-type ferredoxin from Sulfolobus solfataricus to modify types and spacing of ligands and successfully converted the metal and cluster type at the redox-active site with a minimal structural change to a native Rieske-type protein scaffold. Spectroscopic analyses unambiguously established a rubredoxin-type mononuclear Fe3+/2+ center at the engineered local metal-binding site (Zn2+ occupies the iron site depending on the expression conditions). These results show the importance of types and spacing of ligands in the in vivo cluster recognition/insertion/assembly in biological metallosulfur protein scaffolds. We suggest that early ligand substitution and displacement events at the local metal-binding site(s) might have primarily allowed the metal and cluster type conversion in ancestral redox protein modules, which greatly enhanced their capabilities of conducting a wide range of unique redox chemistry in biological electron transfer conduits, using a limited number of basic protein scaffolds.     

Rational design of femtomolar inhibitors of isoleucyl tRNA synthetase from a binding model for pseudomonic acid-A

This paper describes the design and characterization of novel inhibitors of IleRS, whose binding affinity approaches the tightest reported for noncovalent inhibition. Compounds were designed from a binding model for the natural product pseudomonic acid-A (PS-A) together with a detailed understanding of the reaction cycle of IleRS and characterization of the mode of binding of the reaction intermediate IleAMP. The interactions of the compounds with IleRS were characterized by inhibition of aminoacylation of tRNA or PP(i)/ATP exchange at supersaturating substrate concentration and by transient kinetics and calorimetry methods. A detailed understanding of the interaction of a comprehensive series of compounds with IleRS allowed the identification of key features and hence the design of exquisitely potent inhibitors. Predictions based on these results have been recently supported by a docking model based on the crystal structure of IleRS with PS-A [Silvian, L. F., Wang J. M., and Steitz T. A. (1999) Science 285 1074-1077].