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DNA-dependent protein kinase catalytic subunit (DNA-PKcs) is a central component of nonhomologous end joining (NHEJ), repairing DNA double-strand breaks that would otherwise lead to apoptosis or cancer. We have solved its structure in complex with the C-terminal peptide of Ku80 at 4.3 angstrom resolution using x-ray crystallography. We show that the 4128–amino acid structure comprises three large structural units: the N-terminal unit, the Circular Cradle, and the Head. Conformational differences between the two molecules in the asymmetric unit are correlated with changes in accessibility of the kinase active site, which are consistent with an allosteric mechanism to bring about kinase activation. The location of KU80ct194 in the vicinity of the breast cancer 1 (BRCA1) binding site suggests competition with BRCA1, leading to pathway selection between NHEJ and homologous recombination.

The development of structure-guided drug discovery is a story of knowledge exchange where new ideas originate from all parts of the research ecosystem. Dorothy Crowfoot Hodgkin obtained insulin from Boots Pure Drug Company in the 1930s and insulin crystallization was optimized in the company Novo in the 1950s, allowing the structure to be determined at Oxford University. The structure of renin was developed in academia, on this occasion in London, in response to a need to develop antihypertensives in pharma. The idea of a dimeric aspartic protease came from an international academic team and was discovered in HIV; it eventually led to new HIV antivirals being developed in industry. Structure-guided fragment-based discovery was developed in large pharma and biotechs, but has been exploited in academia for the development of new inhibitors targeting protein–protein interactions and also antimicrobials to combat mycobacterial infections such as tuberculosis. These observations provide a strong argument against the so-called `linear model', where ideas flow only in one direction from academic institutions to industry. Structure-guided drug discovery is a story of applications of protein crystallography and knowledge exhange between academia and industry that has led to new drug approvals for cancer and other common medical conditions by the Food and Drug Administration in the USA, as well as hope for the treatment of rare genetic diseases and infectious diseases that are a particular challenge in the developing world.

Background Prediction of the change in fold stability (ΔΔG) of a protein upon mutation is of major importance to protein engineering and screening of disease-causing variants. Many prediction methods can use 3D structural information to predict ΔΔG. While the performance of these methods has been extensively studied, a new problem has arisen due to the abundance of crystal structures: How precise are these methods in terms of structure input used, which structure should be used, and how much does it matter? Thus, there is a need to quantify the structural sensitivity of protein stability prediction methods. Results We computed the structural sensitivity of six widely-used prediction methods by use of saturated computational mutagenesis on a diverse set of 87 structures of 25 proteins. Our results show that structural sensitivity varies massively and surprisingly falls into two very distinct groups, with methods that take detailed account of the local environment showing a sensitivity of ~ 0.6 to 0.8 kcal/mol, whereas machine-learning methods display much lower sensitivity (~ 0.1 kcal/mol). We also observe that the precision correlates with the accuracy for mutation-type-balanced data sets but not generally reported accuracy of the methods, indicating the importance of mutation-type balance in both contexts. Conclusions The structural sensitivity of stability prediction methods varies greatly and is caused mainly by the models and less by the actual protein structural differences. As a new recommended standard, we therefore suggest that ΔΔG values are evaluated on three protein structures when available and the associated standard deviation reported, to emphasize not just the accuracy but also the precision of the method in a specific study. Our observation that machine-learning methods deemphasize structure may indicate that folded wild-type structures alone, without the folded mutant and unfolded structures, only add modest value for assessing protein stability effects, and that side-chain-sensitive methods overstate the significance of the folded wild-type structure.

DNA double-strand breaks are the most dangerous type of DNA damage and, if not repaired correctly, can lead to cancer. In humans, Ku70/80 recognizes DNA broken ends and recruits the DNA-dependent protein kinase catalytic subunit (DNA-PKcs) to form DNA-dependent protein kinase holoenzyme (DNA-PK) in the process of non-homologous end joining (NHEJ). We present a 2.8-Å-resolution cryo-EM structure of DNA-PKcs, allowing precise amino acid sequence registration in regions uninterpreted in previous 4.3-Å X-ray maps. We also report a cryo-EM structure of DNA-PK at 3.5-Å resolution and reveal a dimer mediated by the Ku80 C terminus. Central to dimer formation is a domain swap of the conserved C-terminal helix of Ku80. Our results suggest a new mechanism for NHEJ utilizing a DNA-PK dimer to bring broken DNA ends together. Furthermore, drug inhibition of NHEJ in combination with chemo- and radiotherapy has proved successful, making these models central to structure-based drug targeting efforts. A new cryo-EM structure of human DNA-PKcs in complex with a Ku70/80 heterodimer and DNA reveals how Ku80–DNA-PKcs interactions create a scaffold to mediate DNA double-strand break repair.

The ability to predict how a mutation affects ligand binding is an essential step in understanding, anticipating and improving the design of new treatments for drug resistance and in understanding genetic diseases. Here we present mCSM-lig, a structure-guided computational approach for quantifying the effects of single-point missense mutations on affinities of small molecules for proteins. mCSM-lig uses graph-based signatures to represent the wild-type environment of mutations and small-molecule chemical features and changes in protein stability as evidence to train a predictive model using a representative set of protein-ligand complexes from the Platinum database. We show our method provides a very good correlation with experimental data (up to ρ = 0.67) and is effective in predicting a range of chemotherapeutic, antiviral and antibiotic resistance mutations, providing useful insights for genotypic screening and to guide drug development. mCSM-lig also provides insights into understanding Mendelian disease mutations and as a tool for guiding protein design. mCSM-lig is freely available as a web server at http://structure.bioc.cam.ac.uk/mcsm_lig .

Turning the HEAT on DNA-PKcs Several members of the phosphatidylinositol-3-OH kinase (PI(3)K) family are involved in the response to DNA double-strand breaks. One of these, DNA-dependent protein kinase (DNA-PK), is comprised of three subunits, with the kinase activity residing in the catalytic subunit, DNA-PKcs. In this study, Tom Blundell and colleagues have solved the structure of human DNA-PKcs, at a resolution sufficient to see the overall folds. The structure reveals that the many HEAT repeats bend the protein into a circular structure. The kinase domain, encoded in the C-terminal domain, sits on one side of the structure. While the overall architecture of the catalytic subunit allows speculation about regions where conformational changes may occur, confirmation of such interactions awaits higher resolution data. If broken chromosomes arising from DNA double-strand breaks are left unrepaired or incorrectly repaired, they can lead to genomic changes that may result in cell death or cancer. DNA-dependent protein kinase (DNA-PK), which comprises the DNA-PK catalytic subunit (DNA-PKcs) and the heterodimer Ku70/Ku80, has a major role in the repair of double-strand breaks. The crystal structure of human DNA-PKcs is now presented, in which the overall fold is clearly visible. Broken chromosomes arising from DNA double-strand breaks result from endogenous events such as the production of reactive oxygen species during cellular metabolism, as well as from exogenous sources such as ionizing radiation 1 , 2 , 3 . Left unrepaired or incorrectly repaired they can lead to genomic changes that may result in cell death or cancer. DNA-dependent protein kinase (DNA-PK), a holoenzyme that comprises the DNA-PK catalytic subunit (DNA-PKcs) 4 , 5 and the heterodimer Ku70/Ku80, has a major role in non-homologous end joining—the main pathway in mammals used to repair double-strand breaks 6 , 7 , 8 . DNA-PKcs is a serine/threonine protein kinase comprising a single polypeptide chain of 4,128 amino acids and belonging to the phosphatidylinositol-3-OH kinase (PI(3)K)-related protein family 9 . DNA-PKcs is involved in the sensing and transmission of DNA damage signals to proteins such as p53, setting off events that lead to cell cycle arrest 10 , 11 . It phosphorylates a wide range of substrates in vitro , including Ku70/Ku80, which is translocated along DNA 12 . Here we present the crystal structure of human DNA-PKcs at 6.6 Å resolution, in which the overall fold is clearly visible, to our knowledge, for the first time. The many α-helical HEAT repeats (helix–turn–helix motifs) facilitate bending and allow the polypeptide chain to fold into a hollow circular structure. The carboxy-terminal kinase domain is located on top of this structure, and a small HEAT repeat domain that probably binds DNA is inside. The structure provides a flexible cradle to promote DNA double-strand-break repair.

Repairing DNA double-strand breaks (DSBs) by nonhomologous end joining (NHEJ) requires multiple proteins to recognize and bind DNA ends, process them for compatibility, and ligate them together. We constructed novel DNA substrates for single-molecule nanomanipulation, allowing us to mechanically detect, probe, and rupture in real-time DSB synapsis by specific human NHEJ components. DNA-PKcs and Ku allow DNA end synapsis on the 100 ms timescale, and the addition of PAXX extends this lifetime to ~2 s. Further addition of XRCC4, XLF and ligase IV results in minute-scale synapsis and leads to robust repair of both strands of the nanomanipulated DNA. The energetic contribution of the different components to synaptic stability is typically on the scale of a few kilocalories per mole. Our results define assembly rules for NHEJ machinery and unveil the importance of weak interactions, rapidly ruptured even at sub-picoNewton forces, in regulating this multicomponent chemomechanical system for genome integrity.

Mycobacteriaceae comprises pathogenic species such as Mycobacterium tuberculosis, M. leprae and M. abscessus, as well as non-pathogenic species, for example, M. smegmatis and M. thermoresistibile. Genome comparison and annotation studies provide insights into genome evolutionary relatedness, identify unique and pathogenicity-related genes in each species, and explore new targets that could be used for developing new diagnostics and therapeutics. Here, we present a comparative analysis of ten-mycobacterial genomes with the objective of identifying similarities and differences between pathogenic and non-pathogenic species. We identified 1080 core orthologous clusters that were enriched in proteins involved in amino acid and purine/pyrimidine biosynthetic pathways, DNA-related processes (replication, transcription, recombination and repair), RNA-methylation and modification, and cell-wall polysaccharide biosynthetic pathways. For their pathogenicity and survival in the host cell, pathogenic species have gained specific sets of genes involved in repair and protection of their genomic DNA. M. leprae is of special interest owing to its smallest genome (1600 genes and ~1300 psuedogenes), yet poor genome annotation. More than 75% of the pseudogenes were found to have a functional ortholog in the other mycobacterial genomes and belong to protein families such as transferases, oxidoreductases and hydrolases.

Key Points The process of protein evolution is balanced between Darwinian selection for functionally advantageous mutations and neutral evolution, in which acceptance of amino acid substitution is constrained by the requirement for proper protein structure and function. Comparative analyses of homologous proteins allow conserved features in both sequence and structure to be identified, along with constraints that give rise to distinct patterns of protein evolution. The local structural environment of amino acids in the three-dimensional structures of proteins influences the probability of substitution during protein evolution. Solvent accessibility is the most important determinant, followed by the existence of hydrogen bonds from side-chain to main-chain groups and the nature of the element of secondary structure to which the amino acid contributes. Solvent-inaccessible polar side chains provide strong structural and functional constraints in the evolution of protein families and can give rise to characteristic architectural motifs that are born from the need to satisfy hydrogen bonding. Functional constraints operate through the requirement to maintain the interaction of proteins with other macromolecules in assemblies or with substrates, ligands or allosteric regulators. Functional residues are under greater pressure to be conserved throughout the evolution process, in which they remain crucially important to the activity of proteins and thus to the selective advantage of the organism. Structural and functional constraints in the evolution of protein families can be illustrated by the roles and properties of individual amino acids in the three-dimensional structure of proteins. Although it is an essential prerequisite to understanding protein evolution, further insights will depend on integrated and multidisciplinary systems approaches. Amino acid substitutions in divergent protein families reflect both Darwinian selection and neutral evolution. The latter operates within structural and functional constraints and arises from the need to conserve protein architecture and interactions that are important for the survival of the organism. High-throughput genomic sequencing has focused attention on understanding differences between species and between individuals. When this genetic variation affects protein sequences, the rate of amino acid substitution reflects both Darwinian selection for functionally advantageous mutations and selectively neutral evolution operating within the constraints of structure and function. During neutral evolution, whereby mutations accumulate by random drift, amino acid substitutions are constrained by factors such as the formation of intramolecular and intermolecular interactions and the accessibility to water or lipids surrounding the protein. These constraints arise from the need to conserve a specific architecture and to retain interactions that mediate functions in protein families and superfamilies.  See more Darwin-related content in our Nature Publishing Group collection .

As observed in cancers, individual mutagens and defects in DNA repair create distinctive mutational signatures that combine to form context-specific spectra within cells. We reasoned that similar processes must occur in bacterial lineages, potentially allowing decomposition analysis to detect both disruption of DNA repair processes and exposure to niche-specific mutagens. Here we reconstruct mutational spectra for 84 clades from 31 diverse bacterial species and find distinct mutational patterns. We extract signatures driven by specific DNA repair defects using hypermutator lineages, and further deconvolute the spectra into multiple signatures operating within different clades. We show that these signatures are explained by both bacterial phylogeny and replication niche. By comparing mutational spectra of clades from different environmental and biological locations, we identify niche-associated mutational signatures, and then employ these signatures to infer the predominant replication niches for several clades where this was previously obscure. Our results show that mutational spectra may be associated with sites of bacterial replication when mutagen exposures differ, and can be used in these cases to infer transmission routes for established and emergent human bacterial pathogens. Mutagens and DNA repair defects generate context-specific mutational signatures in cancer cells. Here, Ruis et al. provide evidence of similar processes in bacteria, showing that mutational spectra may be associated with sites of bacterial replication when mutagen exposures differ, and can be used in these cases to infer transmission routes.