Based on fundamental chemistry, biotechnology and materials science have developed over the past three decades into today's powerful disciplines which allow the engineering of advanced technical devices and the industrial production of active substances for pharmaceutical and biomedical applications. This review is focused on current approaches emerging at the intersection of materials research, nanosciences, and molecular biotechnology. This novel and highly interdisciplinary field of chemistry is closely associated with both the physical and chemical properties of organic and inorganic nanoparticles, as well as to the various aspects of molecular cloning, recombinant DNA and protein technology, and immunology. Evolutionary optimized biomolecules such as nucleic acids, proteins, and supramolecular complexes of these components, are utilized in the production of nanostructured and mesoscopic architectures from organic and inorganic materials. The highly developed instruments and techniques of today's materials research are used for basic and applied studies of fundamental biological processes.

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Nanoparticles, Proteins, and Nucleic Acids: Biotechnology Meets Materials Science

Polymers that can respond to external stimuli are of great interest in medicine, especially as controlled drug release vehicles. In this critical review, we consider the types of stimulus response used in therapeutic applications and the main classes of responsive materials developed to date. Particular emphasis is placed on the wide-ranging possibilities for the biomedical use of these polymers, ranging from drug delivery systems and cell adhesion mediators to controllers of enzyme function and gene expression (134 references).

Stimuli responsive polymers for biomedical applications

Using evolutionary information contained in multiple sequence alignments as input to neural networks, secondary structure can be predicted at significantly increased accuracy. Here, we extend our previous three-level system of neural networks by using additional input information derived from multiple alignments. Using a position-specific conservation weight as part of the input increases performance. Using the number of insertions and deletions reduces the tendency for overprediction and increases overall accuracy. Addition of the global amino acid content yields a further improvement, mainly in predicting structural class. The final network system has sustained overall accuracy of 71.6% in a multiple cross-validation test on 126 unique protein chains. A test on a new set of 124 recently solved protein structures that have no significant sequence similarity to the learning set confirms the high level of accuracy. The average cross-validated accuracy for all 250 sequence-unique chains is above 72%. Using various data sets, the method is compared to alternative prediction methods, some of which also use multiple alignments: the performance advantage of the network system is at least 6 percentage points in three-state accuracy. In addition, the network estimates secondary structure content from multiple sequence alignments about as well as circular dichroism spectroscopy on a single protein and classifies 75% of the 250 proteins correctly into one of four protein structural classes. Of particular practical importance is the definition of a position-specific reliability index. For 40% of all residues the method has a sustained three-state accuracy of 88%, as high as the overall average for homology modelling. A further strength of the method is greatly increased accuracy in predicting the placement of secondary structure segments.

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Combining evolutionary information and neural networks to predict protein secondary structure.

More than three-quarters of the Earth's surface is occupied by cold ecosystems, including the ocean depths, and polar and alpine regions. These permanently cold environments have been successfully colonized by a class of extremophilic microorganisms that are known as psychrophiles (which literally means cold-loving). The ability to thrive at temperatures that are close to, or below, the freezing point of water requires a vast array of adaptations to maintain the metabolic rates and sustained growth compatible with life in these severe environmental conditions.

Psychrophilic enzymes: Hot topics in cold adaptation

Protein design allows sequence-to-structure relationships in proteins to be examined and, potentially, new protein structures and functions to be made to order. To succeed, however, the protein-design process requires reliable rules that link protein sequence to structure?function. Although our present understanding of coiled-coil folding and assembly is not complete, through numerous bioinformatics and experimental studies there are now sufficient rules to allow confident design attempts of naturally observed and even novel coiled-coil motifs. This review summarizes the current design rules for coiled coils, and describes some of the key successful coiled-coil designs that have been created to date. The designs range from those for relatively straightforward, naturally observed structures-including parallel and antiparallel dimers, trimers and tetramers, all of which have been made as homomers and heteromers-to more exotic structures that expand the repertoire of Nature's coiled-coil structures. Examples in the second bracket include a probe that binds a cancer-associated coiled-coil protein; a tetramer with a right-handed supercoil; sticky-ended coiled coils that self-assemble to form fibers; coiled coils that switch conformational state; a three-component two-stranded coiled coil; and an antiparallel dimer that directs fragment complementation of larger proteins. Some of the more recent examples show an important development in the field; namely, new designs are being created with function as well as structure in mind. This will remain one of the key challenges in coiled-coil design in the next few years. Other challenges that lie ahead include the need to discover more rules for coiled-coil prediction and design, and to implement these in prediction and design algorithms. The considerable success of coiled-coil design so far bodes well for this, however. It is likely that these challenges will be met and surpassed.

http://www.chm.bris.ac.uk/org/woolfson/papers/paper44.pdf

The design of coiled-coil structures and assemblies

Antifreeze proteins (AFPs) have the unique ability to adsorb to ice and inhibit its growth. Many organisms ranging from fish to bacteria use AFPs to retard freezing or lessen the damage incurred upon freezing and thawing. The ice-binding mechanism of the long linear alpha-helical type I AFPs has been attributed to their regularly spaced polar residues matching the ice lattice along a pyramidal plane. In contrast, it is not known how globular antifreeze proteins such as type III AFP that lack repeating ice-binding residues bind to ice. Here we report the 1.25 A crystal structure of recombinant type III AFP (QAE isoform) from eel pout (Macrozoarces americanus), which reveals a remarkably flat amphipathic ice-binding site where five hydrogen-bonding atoms match two ranks of oxygens on the [1010] ice prism plane in the direction, giving high ice-binding affinity and specificity. This binding site, substantiated by the structures and properties of several ice-binding site mutants, suggests that the AFP occupies a niche in the ice surface in which it covers the basal plane while binding to the prism face.

Structural basis for the binding of a globular antifreeze protein to ice

The most abundant isoform (HPLC-6) of type I antifreeze protein (AFP1) in winter flounder is a 37-amino-acid-long, alanine-rich, alpha-helical peptide, containing four Thr spaced 11 amino acids apart. It is generally assumed that HPLC-6 binds ice through a hydrogen-bonding match between the Thr and neighboring Asx residues to oxygens atoms on the {2021} plane of the ice lattice. The result is a lowering of the nonequilibrium freezing point below the melting point (thermal hysteresis). HPLC-6, and two variants in which the central two Thr were replaced with either Ser or Val, were synthesized. The Ser variant was virtually inactive, while only a minor loss of activity was observed in the Val variant. CD, ultracentrifugation, and NMR studies indicated no significant structural changes or aggregation of the variants compared to HPLC-6. These results call into question the role of hydrogen bonds and suggest a much more significant role for entropic effects and van der Waals interactions in binding AFP to ice.

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A diminished role for hydrogen bonds in antifreeze protein binding to ice.

https://febs.onlinelibrary.wiley.com/doi/pdf/10.1016/S0014-5793%2899%2901588-4

New ice-binding face for type I antifreeze protein.

A diagnostic card device for use in detecting or quantitating an analyte present in a liquid sample, comprising a card substrate having a sample introduction region, a biosensor, and a sample-flow pathway communicating between the sample-introduction region and the biosensor, circuitry for generating an analyte-dependent electrical signal from the biosensor; and a signal-responsive element for recording such signal. In one embodiment, the biosensor includes a detection surface with surface-bound molecules of a first charged, coil-forming peptide capable of interacting with a second, oppositely charged coil-forming peptide to form a stable α-helical coiled-coil heterodimer, where the binding of the second peptide to the first peptide, to form such heterodimer, is effective to measurably alter a signal generated by the biosensor. The sample-flow pathway contains diffusibly bound conjugate of the second coil-forming peptide and the analyte (or an analyte analog) and immobilized analyte-binding agent. The analyte in the liquid sample and the conjugate compete for binding with the immobilized analyte-binding agent. Unbound conjugate migrates by capillarity to the biosensor. Liquid sample containing conjugate migrates in the sample flow pathway by capillary action or is driven by a micro-pump. In another embodiment, the biosensor includes an electrode substrate coated with a high-dielectric hydrocarbon-chain monolayer, and having analyte-binding agent attached to the exposed monolayer surface. Binding of analyte to the monolayer-bound analyte-binding agent, and the resultant perturbation of the monolayer structure, causes ion-mediated electron flow across the monolayer.

Card-based biosensor device

Antifreeze proteins (AFPs) depress the freezing point of aqueous solutions by binding to and inhibiting the growth of ice. Whereas the ice-binding surface of some fish AFPs is suggested by their linear, repetitive, hydrogen bonding motifs, the 66-amino-acid-long Type III AFP has a compact, globular fold without any obvious periodicity. In the structure, 9 beta-strands are paired to form 2 triple-stranded antiparallel sheets and 1 double-stranded antiparallel sheet, with the 2 triple sheets arranged as an orthogonal beta-sandwich (Sonnichsen FD, Sykes BD, Chao H, Davies PL, 1993, Science 259:1154-1157). Based on its structure and an alignment of Type III AFP isoform sequences, a cluster of conserved, polar, surface-accessible amino acids (N14, T18, Q44, and N46) was noted on and around the triple-stranded sheet near the C-terminus. At 3 of these sites, mutations that switched amide and hydroxyl groups caused a large decrease in antifreeze activity, but amide to carboxylic acid changes produced AFPs that were fully active at pH 3 and pH 6. This is consistent with the observation that Type III AFP is optimally active from pH 2 to pH 11. At a concentration of 1 mg/mL, Q44T, N14S, and T18N had 50%, 25%, and 10% of the activity of wild-type antifreeze, respectively. The effects of the mutations were cumulative, such that the double mutant N14S/Q44T had 10% of the wild-type activity and the triple mutant N14S/T18N/Q44T had no activity. All mutants with reduced activity were shown to be correctly folded by NMR spectroscopy. Moreover, a complete characterization of the triple mutant by 2-dimensional NMR spectroscopy indicated that the individual and combined mutations did not significantly alter the structure of these proteins. These results suggest that the C-terminal beta-sheet of Type III AFP is primarily responsible for antifreeze activity, and they identify N14, T18, and Q44 as key residues for the AFP-ice interaction.

/pdf/structure-function-relationship-in-the-globular-type-iii-3mxn7svt6w.pdf

Structure‐function relationship in the globular type III antifreeze protein: Identification of a cluster of surface residues required for binding to ice

Heman Chao

Papers

Structural basis for the binding of a globular antifreeze protein to ice

A diminished role for hydrogen bonds in antifreeze protein binding to ice.

New ice-binding face for type I antifreeze protein.

Card-based biosensor device

Structure‐function relationship in the globular type III antifreeze protein: Identification of a cluster of surface residues required for binding to ice