Factors involved in genetic control of protein synthesis can be classified according to their structural and regulatory roles. The structural constitution of the genetic locus determines the ordering of amino acids in the protein primary structure while regulatory factors influence the rates of protein synthesis. The genetic scheme, proposed by Jacob & Monod (1961), groups genes according to their structural and regulatory functions. This genetic classification alone is insufficient to explain the dynamics of regulatory behaviour. Basic questions such as why cells with the same complement of genes synthesize more of one protein than another are left unanswered. The answers to such questions would shed some light on the dynamical mechanism of tissue differentiation and embryological development. Regulation of protein synthesis should be the result of a combination of structural genetic factors and dynamic biochemical processes. It will be shown in this article that the interaction of structural and dynamic factors leads to a coherent and efficient control mechanism of biosynthesis.

In the mid-1950s, RNA was a somewhat mysterious molecule with unknown three-dimensional structure and little hard evidence of biological function. Changes began with the 1956 discoveries of the RNA double helix and the phenomenon of nucleic acid hybridization. Discovery of the DNA–RNA hybrid helix in 1960 opened the door to understanding biological information transfer. Single-crystal X-ray diffraction analysis made it possible to precisely define the RNA double helix, discover the novel L-shaped fold of transfer RNA (tRNA), and finally reveal the complete three-dimensional tRNA structure by 1974. By then, a functional understanding of protein synthesis had developed with an appreciation of the various roles of different RNA species. This was the era of RNA awakening.

Computational modeling studies that investigate activity of the bacterial ribosome were reviewed. Computational approaches became possible with the availability of three-dimensional atomic resolution structures of the ribosomal subunits. However, due to the enormous size of the system, theoretical efforts to study the ribosome are few and challenging. For example, to extend the simulation timescales to biologically relevant ones, often, reduced models that require tedious parameterizations need to be applied. To that end, modeling of the ribosome focused on its internal dynamics, electrostatic properties, inhibition by antibiotics, polypeptide folding in the ribosome tunnel and assembly mechanisms driving the formation of the small ribosomal subunit.

Here it is demonstrated how some anionic food additives commonly used in our diet, such as tartrazine (TZ), bind to DHVAR4, an antimicrobial peptide (AMP) derived from oral host defense peptides, resulting in significantly fostered toxic activity against both Gram-positive and Gram-negative bacteria, but not against mammalian cells. Biophysical studies on the DHVAR4–TZ interaction indicate that initially large, positively charged aggregates are formed, but in the presence of lipid bilayers, they rather associate with the membrane surface. In contrast to synergistic effects observed for mixed antibacterial compounds, this is a principally different mechanism, where TZ directly acts on the membrane-associated AMP promoting its biologically active helical conformation. Model vesicle studies show that compared to dye-free DHVAR4, peptide–TZ complexes are more prone to form H-bonds with the phosphate ester moiety of the bilayer head-group region resulting in more controlled bilayer fusion mechanism and concerted severe cell damage. AMPs are considered as promising compounds to combat formidable antibiotic-resistant bacterial infections; however, we know very little on their in vivo actions, especially on how they interact with other chemical agents. The current example illustrates how food dyes can modulate AMP activity, which is hoped to inspire improved therapies against microbial infections in the alimentary tract. Results also imply that the structure and function of natural AMPs could be manipulated by small compounds, which may also offer a new strategic concept for the future design of peptide-based antimicrobials.

In 1912, Max von Laue and collaborators first observed diffraction spots from a millimeter-sized crystal of copper sulfate using an X-ray tube. Crystallography was born of this experiment, and since then, diffraction by both X-rays and electrons has revealed a myriad of inorganic and organic structures, including structures of complex protein assemblies. Advancements in X-ray sources have spurred a revolution in structure determination, facilitated by the development of new methods. This review explores some of the frontier methods that are shaping the future of X-ray diffraction, including coherent diffractive imaging, serial femtosecond X-ray crystallography and small-angle X-ray scattering. Collectively, these methods expand the current limits of structure determination in biological systems across multiple length and time scales.

Cryo-electron microscopy (cryo-EM) has become the technique of choice for structural biology of macromolecular assemblies, after the ‘resolution revolution’ that has occurred in this field since 2012. With a suitable instrument, an appropriate electron detector and, last but not least, a cooperative sample it is now possible to collect images from which macromolecular structures can be determined to better than 2 Å resolution, where reliable atomic models can be built. By electron tomography and sub-tomogram averaging of cryo-samples, it is also possible to reconstruct subcellular structures to sub-nanometre resolution. This review describes the infrastructure that is needed to achieve this goal. Ideally, a cryo-EM lab will have a dedicated 300 kV electron microscope for data recording and a 200 kV instrument for screening cryo-samples, both with direct electron detectors, and at least one 120 kV EM for negative-stain screening at room temperature. Added to this should be ancillary equipment for specimen preparation, including a light microscope, carbon coater, plasma cleaner, glow discharge unit, a device for fast, robotic sample freezing, liquid nitrogen storage Dewars and a ready supply of clean liquid nitrogen. In practice, of course, the available budget will determine the number and types of microscopes and how elaborate the lab can be. The cryo-EM lab should be designed with adequate space for the electron microscopes and ancillary equipment, and should allow for sufficient storage space. Each electron microscope room should be connected to the image-processing computers by fibre-optic cables for the rapid transfer of large datasets. The cryo-EM lab should be overseen by a facility manager whose responsibilities include the day-to-day tasks to ensure that all microscopes are operating perfectly, organising service and repairs to minimise downtime, and controlling the budget. Large facilities will require additional support staff who help to oversee the operation of the facility and instruct new users.

Means to cause an immunogenic cell death could lead to significant insight into how cancer escapes immune control. In this study, we screened a library of five pyrrole–imidazole polyamides coding for different DNA sequences in a model of B-cell lymphoma for the upregulation of surface calreticulin, a pro-phagocytosis signal implicated in immunogenic cell death. We found that hairpin polyamide 1 triggers the release of the damage-associated molecular patterns calreticulin, ATP and HMGB1 in a slow necrotic-type cell death. Consistent with this signaling, we observed an increase in the rate of phagocytosis by macrophages after the cancer cells were exposed to polyamide 1. The DNA sequence preference of polyamide 1 is 5′-WGGGTW-3′ (where W = A/T), indicated by the pairing rules and confirmed by the Bind-n-Seq method. The close correspondence of this sequence with the telomere-repeat sequence suggests a potential mechanism of action through ligand binding at the telomere. This study reveals a chemical means to trigger an inflammatory necrotic cell death in cancer cells.

It is generally assumed that the mechanism of enzyme-catalysed reactions would be defined if all the intermediates, complexes and conformational states of each enzyme could be characterized, and the rate-constants for their inter-conversion recorded. In spite of the introduction during the last decades of methods for rapid data acquisition, which permit detection of the number and sequence of intermediates and complexes, measurement of rate-constants, identification of the types of catalysis involved, etc., at best a semi-quantitative understanding of the mechanism of enzyme-catalysis is obtained. The definition of the exact chemical nature of intermediates and complexes is missing because techniques establishing the structures are restricted to the study of transient states which are stable for periods that exceed the half-life of most of typical intermediates. In such conditions, while conformational changes are obviously an essential feature of enzyme activity, the conformational basis of such activity cannot be understood at the molecular level, and enzyme catalysis is still termed a ‘miracle’ compared to the rate-enhancements and specificity of ordinary chemical catalysts.

Darwin's theory of evolution emphasized that positive selection of functional proficiency provides the fitness that ultimately determines the structure of life, a view that has dominated biochemical thinking of enzymes as perfectly optimized for their specific functions. The 20th-century modern synthesis, structural biology, and the central dogma explained the machinery of evolution, and nearly neutral theory explained how selection competes with random fixation dynamics that produce molecular clocks essential e.g. for dating evolutionary histories. However, quantitative proteomics revealed that selection pressures not relating to optimal function play much larger roles than previously thought, acting perhaps most importantly via protein expression levels. This paper first summarizes recent progress in the 21st century toward recovering this universal selection pressure. Then, the paper argues that proteome cost minimization is the dominant, underlying ‘non-function’ selection pressure controlling most of the evolution of already functionally adapted living systems. A theory of proteome cost minimization is described and argued to have consequences for understanding evolutionary trade-offs, aging, cancer, and neurodegenerative protein-misfolding diseases.

The bio-synthesis of pyoverdine (PVD) in Pseudomonas aeruginosa involves multiple enzymatic steps including the action of non-ribosomal peptide synthetases (NRPSs). One hallmark of NRPS is their ability to make usage of non-proteinogenic amino-acids synthesized by co-expressed accessory enzymes. It is generally proposed that different enzymes of a secondary metabolic pathway assemble into large supra-molecular complexes. However, evidence for the assembly of sequential enzymes in the cellular context is sparse. Here, we used in cellulo single-molecule tracking and Förster resonance energy transfer measured by fluorescence lifetime microscopy (FRET-FLIM) to explore the spatial partitioning of the ornithine hydroxylase PvdA and its interactions with NRPS. We found PvdA was mostly diffusing bound to large complexes in the cytoplasm with a small exchangeable trapped fraction. FRET-FLIM clearly showed that PvdA is physically interacting with PvdJ, PvdI, PvdL, and PvdD, the four NRPS involved in the PVD pathway in Pseudomonas aeruginosa PAO1. The binding modes of PvdA were strikingly different according to the NRPS it is interacting with, suggesting that PvdA binding sites have co-evolved with the enzymatic active sites of NRPS. Our data provide evidence for strongly organized multi-enzymatic complexes responsible for the bio-synthesis of PVD and illustrate how binding sites have evolved to finely control the co-localization of sequential enzymes and promote metabolic pathway efficiency.

Translation of proteins by the ribosome regulates gene expression, with recent results underscoring the importance of translational control. Misregulation of translation underlies many diseases, including cancer and many genetic diseases. Decades of biochemical and structural studies have delineated many of the mechanistic details in prokaryotic translation, and sketched the outlines of eukaryotic translation. However, translation may not proceed linearly through a single mechanistic pathway, but likely involves multiple pathways and branchpoints. The stochastic nature of biological processes would allow different pathways to occur during translation that are biased by the interaction of the ribosome with other translation factors, with many of the steps kinetically controlled. These multiple pathways and branchpoints are potential regulatory nexus, allowing gene expression to be tuned at the translational level. As research focus shifts toward eukaryotic translation, certain themes will be echoed from studies on prokaryotic translation. This review provides a general overview of the dynamic data related to prokaryotic and eukaryotic translation, in particular recent findings with single-molecule methods, complemented by biochemical, kinetic, and structural findings. We will underscore the importance of viewing the process through the viewpoints of regulation, translational control, and heterogeneous pathways.

The advent of single-molecule force spectroscopy represents the introduction of forces, torques, and displacements as controlled variables in biochemistry. These methods afford the direct manipulation of individual molecules to interrogate the forces that hold together their structure, the forces and torques that these molecules generate in the course of their biochemical reactions, and the use of force, torque, and displacement as tools to investigate the mechanisms of these reactions. Because of their microscopic nature, the signals detected in these experiments are often dominated by fluctuations, which, in turn, play an important role in the mechanisms that underlie the operation of the molecular machines of the cell. Their direct observation and quantification in single-molecule experiments provide a unique window to investigate those mechanisms, as well as a convenient way to investigate fundamental new fluctuation theorems of statistical mechanics that bridge the equilibrium and non-equilibrium realms of this discipline. In this review we have concentrated on the developments that occurred in our laboratory on the characterization of biopolymers and of molecular machines of the central dogma. Accordingly, some important areas like the study of cytoskeletal motors have not been included. While we adopt at times an anecdotal perspective with the hope of conveying the personal circumstances in which these developments took place, we have made every effort, nonetheless, to include the most important developments that were taking place at the same time in other laboratories.

Using atomistic simulations, we show the formation of stable triplet structure when particular GC-rich DNA duplexes are extended in solution over a timescale of hundreds of nanoseconds, in the presence of organic salt. We present planar-stacked triplet disproportionated DNA (Σ DNA) as a possible solution phase of the double helix under tension, subject to sequence and the presence of stabilising co-factors. Considering the partitioning of the duplexes into triplets of base pairs as the first step of operation of recombinase enzymes like RecA, we emphasise the structure–function relationship in Σ DNA. We supplement atomistic calculations with thermodynamic arguments to show that codons for ‘phase 1’ amino acids (those appearing early in evolution) are more likely than a lower entropy GC-rich sequence to form triplets under tension. We further observe that the four amino acids supposed (in the ‘GADV world’ hypothesis) to constitute the minimal set to produce functional globular proteins have the strongest triplet-forming propensity within the phase 1 set, showing a series of decreasing triplet propensity with evolutionary newness. The weak form of our observation provides a physical mechanism to minimise read frame and recombination alignment errors in the early evolution of the genetic code.

When the iconic DNA genetic code is expressed in terms of energy differentials, one observes that information embedded in chemical sequences, including some biological outcomes, correlate with distinctive free energy profiles. Specifically, we find correlations between codon usage and codon free energy, suggestive of a thermodynamic selection for codon usage. We also find correlations between what are considered ancient amino acids and high codon free energy values. Such correlations may be reflective of the sequence-based genetic code fundamentally mapping as an energy code. In such a perspective, one can envision the genetic code as composed of interlocking thermodynamic cycles that allow codons to ‘evolve’ from each other through a series of sequential transitions and transversions, which are influenced by an energy landscape modulated by both thermodynamic and kinetic factors. As such, early evolution of the genetic code may have been driven, in part, by differential energetics, as opposed exclusively by the functionality of any gene product. In such a scenario, evolutionary pressures can, in part, derive from the optimization of biophysical properties (e.g. relative stabilities and relative rates), in addition to the classic perspective of being driven by a phenotypical adaptive advantage (natural selection). Such differential energy mapping of the genetic code, as well as larger genomic domains, may reflect an energetically resolved and evolved genomic landscape, consistent with a type of differential, energy-driven ‘molecular Darwinism’. It should not be surprising that evolution of the code was influenced by differential energetics, as thermodynamics is the most general and universal branch of science that operates over all time and length scales.

Neurodegenerative disorders, including Alzheimer's (AD) and Parkinson's diseases (PD), are characterised by the formation of aberrant assemblies of misfolded proteins. The discovery of disease-modifying drugs for these disorders is challenging, in part because we still have a limited understanding of their molecular origins. In this review, we discuss how biophysical approaches can help explain the formation of the aberrant conformational states of proteins whose neurotoxic effects underlie these diseases. We discuss in particular models based on the transgenic expression of amyloid-β (Aβ) and tau in AD, and α-synuclein in PD. Because biophysical methods have enabled an accurate quantification and a detailed understanding of the molecular mechanisms underlying protein misfolding and aggregation in vitro, we expect that the further development of these methods to probe directly the corresponding mechanisms in vivo will open effective routes for diagnostic and therapeutic interventions.

The study of differentiation is concerned with the analysis of the processes responsible for ‘the cellular changes in macromolecular synthesis and composition, patterned in time and space and resulting in specialized functions, forms and organization’ (Moscona, 1973).

To the Chemist, it has long been second nature to work with separate, purified substances. Biochemists and molecular biologists have now largely achieved the same working position, with their powerful separation techniques of ultracentrifugation, electrophoresis, chromatography and the like. For the cell biologists, it is a much more recent phenomenon that widespread attention is being directed towards quantitative measurement of properties in isolated, homogeneous cell types. The richness and diversity of cell systems beg for cleverness on the part of the experimenter.