Metalloprotein and redox protein design

Metalloprotein and redox protein design are rapidly advancing toward the chemical synthesis of novel proteins that have predictable structures and functions. Current data demonstrate a breadth of successful approaches to metallopeptide and metalloprotein design based on de novo, rational and combinatorial strategies. These sophisticated synthetic analogs of natural proteins constructively test our comprehension of metalloprotein structure/function relationships. Additionally, designed redox proteins provide novel constructs for examining the thermodynamics and kinetics of biological electron transfer.     

Exploring amino-acid radical chemistry: protein engineering and de novo design

Amino-acid radical enzymes are often highly complex structures containing multiple protein subunits and cofactors. These properties have in many cases hampered the detailed characterization of their amino-acid redox cofactors. To address this problem, a range of approaches has recently been developed in which a common strategy is to reduce the complexity of the radical-containing system. This work will be reviewed and it includes the light-induced generation of aromatic radicals in small-molecule and peptide systems. Natural redox proteins, including the blue copper protein azurin and a bacterial photosynthetic reaction center, have been engineered to introduce amino-acid radical chemistry. The redesign strategies to achieve this remarkable change in the properties of these proteins will be described. An additional approach to gain insights into the properties of amino-acid radicals is to synthesize de novo designed model proteins in which the redox chemistry of these species can be studied. Here we describe the design, synthesis and characteristics of monomeric three-helix bundle and four-helix bundle proteins designed to study the redox chemistry of tryptophan and tyrosine. This work demonstrates that de novo protein design combined with structural, electrochemical and quantum chemical analyses can provide detailed information on how the protein matrix tunes the thermodynamic properties of tryptophan.     

Exploring amino-acid radical chemistry: protein engineering and de novo design

Amino-acid radical enzymes are often highly complex structures containing multiple protein subunits and cofactors. These properties have in many cases hampered the detailed characterization of their amino-acid redox cofactors. To address this problem, a range of approaches has recently been developed in which a common strategy is to reduce the complexity of the radical-containing system. This work will be reviewed and it includes the light-induced generation of aromatic radicals in small-molecule and peptide systems. Natural redox proteins, including the blue copper protein azurin and a bacterial photosynthetic reaction center, have been engineered to introduce amino-acid radical chemistry. The redesign strategies to achieve this remarkable change in the properties of these proteins will be described. An additional approach to gain insights into the properties of amino-acid radicals is to synthesize de novo designed model proteins in which the redox chemistry of these species can be studied. Here we describe the design, synthesis and characteristics of monomeric three-helix bundle and four-helix bundle proteins designed to study the redox chemistry of tryptophan and tyrosine. This work demonstrates that de novo protein design combined with structural, electrochemical and quantum chemical analyses can provide detailed information on how the protein matrix tunes the thermodynamic properties of tryptophan.     

Design and selection of ligands for affinity chromatography

Affinity chromatography is potentially the most selective method for protein purification. The technique has the purification power to eliminate steps, increase yields and thereby improve process economics. However, it suffers from problems regarding ligand stability and cost. Some of the most recent advances in this area have explored the power of rational and combinatorial approaches for designing highly selective and stable synthetic affinity ligands. Rational molecular design techniques, which are based on the ability to combine knowledge of protein structures with defined chemical synthesis and advanced computational tools, have made rational ligand design feasible and faster. Combinatorial approaches based on peptide and nucleic acid libraries have permitted the rapid synthesis of new synthetic affinity ligands of potential use in affinity chromatography. The versatility of these approaches suggests that, in the near future, they will become the dominant methods for designing and selection of novel affinity ligands with scale-up potential.     

Molecular aspects of human cellular zinc homeostasis: redox control of zinc potentials and zinc signals

Zinc(II) ions are essential for all forms of life. In humans, they have catalytic and structural functions in an estimated 3,000 zinc proteins. In addition, they interact with proteins transiently when they regulate proteins or when proteins regulate cellular zinc re-distribution. As yet, these types of zinc proteins have been explored poorly. Therefore the number of zinc/protein interactions is potentially larger than that given by the above estimate. Confronted with such a wide range of functions, which affect virtually all aspects of cellular physiology, investigators have begun to elucidate the molecular mechanisms of cellular homeostatic control of zinc, especially the functions of transporter, sensor, and trafficking proteins, such as metallothioneins, in providing the correct amounts of zinc ions for the synthesis of zinc metalloproteins. The sulfur-containing amino acid cysteine in proteins has an important role in the cellular mobility of zinc ions. Sulfur-coordination environments provide sufficiently strong interactions with zinc ions; they can undergo fast ligand-exchange; and they can serve as molecular redox switches for zinc binding and release. For the cellular functions of zinc, the free zinc ion concentrations (zinc potentials, pZn = −log[Zn²⁺]) and the zinc buffering capacity are critically important parameters that need to be defined quantitatively. In the cytoplasm, free zinc ions are kept at picomolar concentrations as a minute fraction of the few hundred micromolar concentrations of total cellular zinc. However, zinc ion concentrations can fluctuate under various conditions. Zinc ions released intracellularly from the zinc/thiolate clusters of metallothioneins or secreted from specialized organelles are potent effectors of proteins and are considered zinc signals. The cellular zinc buffering capacity determines the threshold between physiological and pathophysiological actions of zinc ions. When drugs, toxins, other transition metal ions or reactive compounds compromise zinc buffering, large zinc ion fluctuations can injure cells through effects on redox biology and interactions of zinc ions with proteins that are normally not targeted.

Natural products and combinatorial chemistry: back to the future

The introduction of high-throughput synthesis and combinatorial chemistry has precipitated a global decline in the screening of natural products by the pharmaceutical industry. Some companies terminated their natural products program, despite the unproven success of the new technologies. This was a premature decision, as natural products have a long history of providing important medicinal agents. Furthermore, they occupy a complementary region of chemical space compared with the typical synthetic compound library. For these reasons, the interest in natural products has been rekindled. Various approaches have evolved that combine the power of natural products and organic chemistry, ranging from the combinatorial total synthesis of analogues to the exploration of natural product scaffolds and the design of completely unnatural molecules that resemble natural products in their molecular characteristics.     

Combinatorial augmentation for a multi-pathogen biosensor: signal analysis and design

Recent advances in combinatorial chemistries have revolutionized approaches to drug candidate synthesis and screening. Combinatorial approaches are also beginning to be used to increase the performance of diagnostic devices for both clinical and field uses. The use of combinatorial technologies is motivated by a general desire to detect as many different pathogens using the smallest, most inexpensive and fastest system possible. We examine the potential for rational design approaches to enhance the performance and miniaturization of biosensors. We describe novel combinatorial biosensor systems, in addition to mathematical frameworks for their optimization and performance prediction. The biosensors are assumed to be composed of multiple detection channels with the following characteristics. Each channel has a single output and can be dynamically set to respond to some or all of a set of pathogens. Regardless of the number of pathogens detected, however, there is a single numerical output from a channel. We evaluate the amount of ambiguity of positive signals produced as a result of increasing both the number of channels and the number of pathogens detected per channel and the effect this ambiguity has on system performance. We further discuss strategies for disambiguating positive signals. Finally we cite specific biosensor configurations that exploit the findings above and compare them to “brute force” approaches. Overall we suggest the approach we refer to as “n-squared” to simultaneously optimize device cost, speed and reagent usage.     

Novel proteins: from fold to function

The field of de novo protein design, though only two decades old, has already reached the point where designing and selecting novel proteins that are functionally active has been achieved several times. Here we review recently reported de novo functional proteins that were developed using various approaches, including rational design, computational optimization, and selection from combinatorial libraries. The functions displayed by these proteins range from metal binding to enzymatic catalysis. Some were designed for specific applications in engineering and medicine, and others provide life-sustaining functions in vivo.     

New developments in affinity chromatography with potential application in the production of biopharmaceuticals.

Affinity chromatography is likely to play an increasingly important role in the purification of pharmaceutical proteins. This review describes new approaches to the design and synthesis of affinity ligands based on the ability to combine knowledge of X-ray crystallographic or NMR structures with defined or combinatorial chemical synthesis. The de novo design process is based on peptidal templates, complementarity to surface exposed residues and mimicking natural biological recognition. Examples of ligands designed to bind specifically to kallikrein, elastase, immunoglobulin G, insulin, alpha(1)-antitrypsin, clotting factor VII and glyco-proteins are given. The exceptional selectivity and stability of these synthetic ligands allows their use in harsh manufacturing environments.     

Stably folded de novo proteins from a designed combinatorial library

Binary patterning of polar and nonpolar amino acids has been used as the key design feature for constructing large combinatorial libraries of de novo proteins. Each position in a binary patterned sequence is designed explicitly to be either polar or nonpolar; however, the precise identities of these amino acids are varied extensively. The combinatorial underpinnings of the "binary code" strategy preclude explicit design of particular side chains at specified positions. Therefore, packing interactions cannot be specified a priori. To assess whether the binary code strategy can nonetheless produce well-folded de novo proteins, we constructed a second-generation library based upon a new structural scaffold designed to fold into 102-residue four-helix bundles. Characterization of five proteins chosen arbitrarily from this new library revealed that (1) all are alpha-helical and quite stable; (2) four of the five contain an abundance of tertiary interactions indicative of well-ordered structures; and (3) one protein forms a well-folded structure with native-like features. The proteins from this new 102-residue library are substantially more stable and dramatically more native-like than those from an earlier binary patterned library of 74-residue sequences. These findings demonstrate that chain length is a crucial determinant of structural order in libraries of de novo four-helix bundles. Moreover, these results show that the binary code strategy--if applied to an appropriately designed structural scaffold--can generate large collections of stably folded and/or native-like proteins.     

Combinatorial Synthesis of and High-throughput Protein Release from Polymer Film and Nanoparticle Libraries

Polyanhydrides are a class of biomaterials with excellent biocompatibility and drug delivery capabilities. While they have been studied extensively with conventional one-sample-at-a-time synthesis techniques, a more recent high-throughput approach has been developed enabling the synthesis and testing of large libraries of polyanhydrides¹. This will facilitate more efficient optimization and design process of these biomaterials for drug and vaccine delivery applications. The method in this work describes the combinatorial synthesis of biodegradable polyanhydride film and nanoparticle libraries and the high-throughput detection of protein release from these libraries. In this robotically operated method (Figure 1), linear actuators and syringe pumps are controlled by LabVIEW, which enables a hands-free automated protocol, eliminating user error. Furthermore, this method enables the rapid fabrication of micro-scale polymer libraries, reducing the batch size while resulting in the creation of multivariant polymer systems. This combinatorial approach to polymer synthesis facilitates the synthesis of up to 15 different polymers in an equivalent amount of time it would take to synthesize one polymer conventionally. In addition, the combinatorial polymer library can be fabricated into blank or protein-loaded geometries including films or nanoparticles upon dissolution of the polymer library in a solvent and precipitation into a non-solvent (for nanoparticles) or by vacuum drying (for films). Upon loading a fluorochrome-conjugated protein into the polymer libraries, protein release kinetics can be assessed at high-throughput using a fluorescence-based detection method (Figures 2 and 3) as described previously¹. This combinatorial platform has been validated with conventional methods² and the polyanhydride film and nanoparticle libraries have been characterized with ¹H NMR and FTIR. The libraries have been screened for protein release kinetics, stability and antigenicity; in vitro cellular toxicity, cytokine production, surface marker expression, adhesion, proliferation and differentiation; and in vivo biodistribution and mucoadhesion^1-11. The combinatorial method developed herein enables high-throughput polymer synthesis and fabrication of protein-loaded nanoparticle and film libraries, which can, in turn, be screened in vitro and in vivo for optimization of biomaterial performance.     

DNA display II. Genetic manipulation of combinatorial chemistry libraries for small-molecule evolution

Biological in vitro selection techniques, such as RNA aptamer methods and mRNA display, have proven to be powerful approaches for engineering molecules with novel functions. These techniques are based on iterative amplification of biopolymer libraries, interposed by selection for a desired functional property. Rare, promising compounds are enriched over multiple generations of a constantly replicating molecular population, and subsequently identified. The restriction of such methods to DNA, RNA, and polypeptides precludes their use for small-molecule discovery. To overcome this limitation, we have directed the synthesis of combinatorial chemistry libraries with DNA "genes," making possible iterative amplification of a nonbiological molecular species. By differential hybridization during the course of a traditional split-and-pool combinatorial synthesis, the DNA sequence of each gene is read out and translated into a unique small-molecule structure. This "chemical translation" provides practical access to synthetic compound populations 1 million-fold more complex than state-of-the-art combinatorial libraries. We carried out an in vitro selection experiment (iterated chemical translation, selection, and amplification) on a library of 10(6) nonnatural peptides. The library converged over three generations to a high-affinity protein ligand. The ability to genetically encode diverse classes of synthetic transformations enables the in vitro selection and potential evolution of an essentially limitless collection of compound families, opening new avenues to drug discovery, catalyst design, and the development of a materials science "biology."     

Using stacked generalization to predict membrane protein types based on pseudo-amino acid composition

Membrane proteins are vitally important for many biological processes and have become an attractive target for both basic research and drug design. Knowledge of membrane protein types often provides useful clues in deducing the functions of uncharacterized membrane proteins. With the unprecedented increasing of newly found protein sequences in the post-genomic era, it is highly demanded to develop an automated method for fast and accurately identifying the types of membrane proteins according to their amino acid sequences. Although quite a few identifiers have been developed in this regard through various approaches, such as covariant discriminant (CD), support vector machine (SVM), artificial neural network (ANN), and K-nearest neighbor (KNN), classifier the way they operate the identification is basically individual. As is well known, wise persons usually take into account the opinions from several experts rather than rely on only one when they are making critical decisions. Likewise, a sophisticated identifier should be trained by several different modes. In view of this, based on the frame of pseudo-amino acid that can incorporate a considerable amount of sequence-order effects, a novel approach called "stacked generalization" or "stacking" has been introduced. Unlike the "bagging" and "boosting" approaches which only combine the classifiers of a same type, the stacking approach can combine several different types of classifiers through a meta-classifier to maximize the generalization accuracy. The results thus obtained were very encouraging. It is anticipated that the stacking approach may also hold a high potential to improve the identification quality for, among many other protein attributes, subcellular location, enzyme family class, protease type, and protein-protein interaction type. The stacked generalization classifier is available as a web-server named "SG-MPt_Pred" at: http://202.120.37.186/bioinf/wangsq/service.htm.     

Artificial proteins from combinatorial approaches

How do we create new artificial proteins? In this review, we present a range of experimental approaches based on combinatorial and directed evolution methods used to explore sequence space and recreate structured or active proteins. These approaches can help to understand constraints of natural evolution and can lead to new useful proteins. Strategies such as binary patterning or modular assembly can efficiently speed structural and functional innovation. Many natural protein architectures are symmetric or repeated and presumably have emerged by coalescence of simpler fragments. This process can be experimentally reproduced; a range of artificial proteins obtained from idealized fragments has recently been described and some of these have already found direct applications.     

Detection of electrophile-sensitive proteins

Background

Redox signaling is an important emerging mechanism of cellular function. Dysfunctional redox signaling is increasingly implicated in numerous pathologies, including atherosclerosis, diabetes, and cancer. The molecular messengers in this type of signaling are reactive species which can mediate the post-translational modification of specific groups of proteins, thereby effecting functional changes in the modified proteins. Electrophilic compounds comprise one class of reactive species which can participate in redox signaling. Electrophiles modulate cell function via formation of covalent adducts with proteins, particularly cysteine residues.

Scope of review

This review will discuss the commonly used methods of detection for electrophile-sensitive proteins, and will highlight the importance of identifying these proteins for studying redox signaling and developing novel therapeutics.

Major conclusions

There are several methods which can be used to detect electrophile-sensitive proteins. These include the use of tagged model electrophiles, as well as derivatization of endogenous electrophile–protein adducts.

General significance

In order to understand the mechanisms by which electrophiles mediate redox signaling, it is necessary to identify electrophile-sensitive proteins and quantitatively assess adduct formation. Strengths and limitations of these methods will be discussed. This article is part of a Special Issue entitled Current methods to study reactive oxygen species - pros and cons and biophysics of membrane proteins. Guest Editor: Christine Winterbourn.     

Incremental truncation as a strategy in the engineering of novel biocatalysts

The application and success of combinatorial approaches to protein engineering problems have increased dramatically. However, current directed evolution strategies lack a combinatorial methodology for creating libraries of hybrid enzymes which lack high homology or for creating libraries of highly homologous genes with fusions at regions of non-identity. To create such hybrid enzyme libraries, we have developed a series of combinatorial approaches that utilize the incremental truncation of genes, gene fragments or gene libraries. For incremental truncation, Exonuclease III is used to create a library of all possible single base-pair deletions of a given piece of DNA. Incremental truncation libraries (ITLs) have applications in protein engineering as well as protein folding, enzyme evolution, and the chemical synthesis of proteins. In addition, we are developing a methodology of DNA shuffling which is independent of DNA sequence homology.     

Signaling protein networks as targets of new antineoplastic drugs

In-depth analysis of molecular regulatory networks in cancer holds the promise of improved knowledge of the pathophysiology of tumor cells so that it will become possible to design a detailed molecular tumor taxonomy. This knowledge will also offer new opportunities for the identification and validation of key molecular tumor targets to be exploited for novel therapeutic approaches. Some signaling proteins have already been identified as such, e.g. c-Myc, Cyclin D1, Bcl-XL, kinases and some nuclear receptors. This has led to the successful development of a few function-modulatory drugs (Glivec, SERM, Iressa), providing proof-of-principle of the validity of this approach. Further developments are likely to derive from "-omic" approaches, aimed at the understanding of signaling networks and of the mechanism of action of newfound lead molecules. High-throughput screening of small drug-like molecules from combinatorial chemical libraries or from microbial extracts will identify novel, "intelligent" drug candidates. An additional medicinal chemistry strategy (via 40-50 unit rosary-bead chains) has the potential to be much more effective than small molecules in interfering with protein-protein interactions. This may lead to considerably higher selectivity and effectiveness compared with historical approaches in drug discovery.     

Engineering of routes to heparin and related polysaccharides

Anticoagulant heparin has been shown to possess important biological functions that vary according to its fine structure. Variability within heparin’s structure occurs owing to its biosynthesis and animal tissue-based recovery and adds another dimension to its complex polymeric structure. The structural variations in chain length and sulfation patterns mediate its interaction with many heparin-binding proteins, thereby eliciting complex biological responses. The advent of novel chemical and enzymatic approaches for polysaccharide synthesis coupled with high throughput combinatorial approaches for drug discovery have facilitated an increased effort to understand heparin’s structure–activity relationships. An improved understanding would offer potential for new therapeutic development through the engineering of polysaccharides. Such a bioengineering approach requires the amalgamation of several different disciplines, including carbohydrate synthesis, applied enzymology, metabolic engineering, and process biochemistry.