Modulation of Enzyme Cascade Activity by Local Substrate Enrichment and Exclusion on DNA Nanostructures.

Substrate confinement and channeling play a critical role in multienzyme pathways and are considered to impact the catalytic efficiency and specificity of biomimetic and artificial nanoreactors. Here we reported a modulation of a multienzyme system with the cascade activity impacted by the surface affinity binding to substrate molecules. A DNA origami modified with aptamers was used to bind and enrich ATP molecules in the local area of immobilized enzymes, thereby enhancing the activity of an enzyme cascade by more than 2-fold. Alternatively, DNA nanostructure modified with blocked aptamers does not bind with ATP, thereby reducing the activity of the enzyme cascade. The Michaelis-Menten kinetics showed decreased apparent KM values (∼3-fold lower) for enzyme nanostructures modified with aptamers, suggesting the higher effective substrate concentration near enzymes due to the local enrichment of substrates. Conversely, increased apparent KM values (∼2-fold higher) were observed for enzyme nanostructures modified with blocked aptamers, possibly due to the exclusion of substrates approaching the surface. The similar concept of this modified surface-substrate interaction should be applicable to other multienzyme systems immobilized on nanostructures, which could be useful in the development of biomimetic nanoreactors.

Reduction of Promiscuous Peptides-Enzyme Inhibition and Aggregation by Negatively Charged Biopolymers.

In this work, peptides selected from a microarray were found to inhibit ß-gal with promiscuous mechanisms. Peptides inhibited the enzyme in a noncompetitive kinetics, and the inhibition of enzyme activities was reduced under high enzyme concentrations and the addition of detergent. Dynamic light scattering and atomic force microscope revealed that peptide/enzyme aggregation was related to inhibited enzyme activities. Positively charged residues of arginine and lysine were critical for the enzyme inhibition. The preincubation of peptide inhibitors with negatively charged biopolymers of polyphosphates, ssDNA, and low pI peptides could increase the residual activity of peptide-inhibited enzyme, possibly due to the disruption of the electrostatic interaction between positively charged peptide residues and the ß-gal surface. Further, negative biopolymers were able to recover the activity of the aggregated peptide/ß-gal complex. Negatively charged biopolymers could be used in high-throughput screening assays to reduce peptides/protein aggregation and thereby minimize promiscuous inhibitions.

Self-Assembly of DNA-Minocycline Complexes by Metal Ions with Controlled Drug Release.

Here we reported a study of metal ions-assisted assembly of DNA-minocycline (MC) complexes and their potential application for controlling MC release. In the presence of divalent cations of magnesium or calcium ions (M2+), MC, a zwitterionic tetracycline analogue, was found to bind to phosphate groups of nucleic acids via an electrostatic bridge of phosphate (DNA)-M2+-MC. We investigated multiple parameters for affecting the formation of DNA-Mg2+-MC complex, including metal ion concentrations, base composition, DNA length, and single- versus double-stranded DNA. For different nitrogen bases, single-stranded poly(A)20 and poly(T)20 showed a higher MC entrapment efficiency of DNA-Mg2+-MC complex than poly(C)20 and poly(G)20. Single-stranded DNA was also found to form a more stable DNA-Mg2+-MC complex than double-stranded DNA. Between different divalent metal ions, we observed that the formation of DNA-Ca2+-MC complex was more stable and efficient than the formation of DNA-Mg2+-MC complex. Toward drug release, we used agarose gel to encapsulate DNA-Mg2+-MC complexes and monitored MC release. Some DNA-Mg2+-MC complexes could prolong MC release from agarose gel to more than 10 days as compared with the quick release of free MC from agarose gel in less than 1 day. The released MC from DNA-Mg2+-MC complexes retained the anti-inflammatory bioactivity to inhibit nitric oxide production from pro-inflammatory macrophages. The reported study of metal ion-assisted DNA-MC assembly not only increased our understanding of biochemical interactions between tetracycline molecules and nucleic acids but also contributed to the development of a highly tunable drug delivery system to mediate MC release for clinical applications.

Computational and experimental analysis of short peptide motifs for enzyme inhibition.

The metabolism of living systems involves many enzymes that play key roles as catalysts and are essential to biological function. Searching ligands with the ability to modulate enzyme activities is central to diagnosis and therapeutics. Peptides represent a promising class of potential enzyme modulators due to the large chemical diversity, and well-established methods for library synthesis. Peptides and their derivatives are found to play critical roles in modulating enzymes and mediating cellular uptakes, which are increasingly valuable in therapeutics. We present a methodology that uses molecular dynamics (MD) and point-variant screening to identify short peptide motifs that are critical for inhibiting ß-galactosidase (ß-Gal). MD was used to simulate the conformations of peptides and to suggest short motifs that were most populated in simulated conformations. The function of the simulated motifs was further validated by the experimental point-variant screening as critical segments for inhibiting the enzyme. Based on the validated motifs, we eventually identified a 7-mer short peptide for inhibiting an enzyme with low µM IC50. The advantage of our methodology is the relatively simplified simulation that is informative enough to identify the critical sequence of a peptide inhibitor, with a precision comparable to truncation and alanine scanning experiments. Our combined experimental and computational approach does not rely on a detailed understanding of mechanistic and structural details. The MD simulation suggests the populated motifs that are consistent with the results of the experimental alanine and truncation scanning. This approach appears to be applicable to both natural and artificial peptides. With more discovered short motifs in the future, they could be exploited for modulating biocatalysis, and developing new medicine.

Self-assembled Nucleic Acid Nanostructures for Cancer Theranostic Medicines.

Theranostic medicine has become more promising in cancer treatment, where the cancer diagnosis and chemotherapy are combined for early diagnosis and precise treatment with improved efficacy and reduced side effects. Nanotechnology has played a critical role in developing various nanomaterials with engendered smart functions and targeted delivery. The rapid development of structural DNA nanotechnology has enabled the design and fabrication of complex nanostructures with prescribed 1D, 2D and 3D patterns in vitro and in vivo. Self-assembled DNA nanostructures can serve as drug delivery platforms that are integrated with various functions ranging from molecular recognition and computations, dynamically structural switch to carrying molecular payloads and selectively release. In this review, we summarize recent exciting progress of using DNA nanostructures to engineer novel smart drug-delivery systems potential for treating cancer.

Peptide-modified surfaces for enzyme immobilization.

BACKGROUND: Chemistry and particularly enzymology at surfaces is a topic of rapidly growing interest, both in terms of its role in biological systems and its application in biocatalysis. Existing protein immobilization approaches, including noncovalent or covalent attachments to solid supports, have difficulties in controlling protein orientation, reducing nonspecific absorption and preventing protein denaturation. New strategies for enzyme immobilization are needed that allow the precise control over orientation and position and thereby provide optimized activity. METHODOLOGY/PRINCIPAL FINDINGS: A method is presented for utilizing peptide ligands to immobilize enzymes on surfaces with improved enzyme activity and stability. The appropriate peptide ligands have been rapidly selected from high-density arrays and when desirable, the peptide sequences were further optimized by single-point variant screening to enhance both the affinity and activity of the bound enzyme. For proof of concept, the peptides that bound to ß-galactosidase and optimized its activity were covalently attached to surfaces for the purpose of capturing target enzymes. Compared to conventional methods, enzymes immobilized on peptide-modified surfaces exhibited higher specific activity and stability, as well as controlled protein orientation. CONCLUSIONS/SIGNIFICANCE: A simple method for immobilizing enzymes through specific interactions with peptides anchored on surfaces has been developed. This approach will be applicable to the immobilization of a wide variety of enzymes on surfaces with optimized orientation, location and performance, and provides a potential mechanism for the patterned self-assembly of multiple enzymes on surfaces.

Thermodynamic additivity of sequence variations: an algorithm for creating high affinity peptides without large libraries or structural information.

BACKGROUND: There is a significant need for affinity reagents with high target affinity/specificity that can be developed rapidly and inexpensively. Existing affinity reagent development approaches, including protein mutagenesis, directed evolution, and fragment-based design utilize large libraries and/or require structural information thereby adding time and expense. Until now, no systematic approach to affinity reagent development existed that could produce nanomolar affinity from small chemically synthesized peptide libraries without the aid of structural information. METHODOLOGY/PRINCIPAL FINDINGS: Based on the principle of additivity, we have developed an algorithm for generating high affinity peptide ligands. In this algorithm, point-variations in a lead sequence are screened and combined in a systematic manner to achieve additive binding energies. To demonstrate this approach, low-affinity lead peptides for multiple protein targets were identified from sparse random sequence space and optimized to high affinity in just two chemical steps. In one example, a TNF-α binding peptide with K(d) = 90 nM and high target specificity was generated. The changes in binding energy associated with each variation were generally additive upon combining variations, validating the basis of the algorithm. Interestingly, cooperativity between point-variations was not observed, and in a few specific cases, combinations were less than energetically additive. CONCLUSIONS/SIGNIFICANCE: By using this additivity algorithm, peptide ligands with high affinity for protein targets were generated. With this algorithm, one of the highest affinity TNF-α binding peptides reported to date was produced. Most importantly, high affinity was achieved from small, chemically-synthesized libraries without the need for structural information at any time during the process. This is significantly different than protein mutagenesis, directed evolution, or fragment-based design approaches, which rely on large libraries and/or structural guidance. With this algorithm, high affinity/specificity peptide ligands can be developed rapidly, inexpensively, and in an entirely chemical manner.

Exploring peptide space for enzyme modulators.

A method is presented for screening high-density arrays to discover peptides that bind and modulate enzyme activity. A polyvinyl alcohol solution was applied to array surfaces to limit the diffusion of product molecules released from enzymatic reactions, allowing the simultaneous measurement of enzyme activity and binding at each peptide spot. For proof of concept, it was possible to identify peptides that bound to horseradish peroxidase, alkaline phosphatase, and beta-galactosidase and substantially altered enzyme activity by comparing the binding level of peptide to enzyme and bound enzyme activity. This basic technique may be generally applicable to find peptides or other small molecules that modify enzyme activity.