Diabetic nephropathy (DN) is a serious metabolic disease, and comprehensive understanding of its complex mechanism will help in preventing the onset and progression of DN. To reveal the systemic metabolic changes associated with renal injury, we performed 1H NMR-based metabonomic and multivariate analyses to analyze serum and urine obtained from a nonhuman primate model of DN. Our results indicated that DN monkeys exhibited a distinct metabolic profile, including higher levels of VLDL/LDL, lipids, unsaturated lipids, uric acid, allantoin, fumarate and hippurate, as well as lower levels of HDL, alanine, glutamate, pyruvate, formate, tyrosine, histidine and NAD+. The disturbed metabolic pathways were further identified, including NAD+ metabolism, purine metabolism, oxidative stress, lipid metabolism, and renal tubular reabsorption. This study highlights that NMR-based metabonomics provides insight into the underlying pathways in the pathogenesis and progression of DN at the metabolic level.

Integral membrane proteins (IMPs) are crucial biological components, mediating the transfer of material and information between cells and their environment. Many IMPs have proven to be difficult to isolate and study. High-resolution structural information on this class of proteins is limited, largely because of difficulties in generating soluble forms of such proteins that retain native folding and activity, and difficulties in generating high-quality crystals from such preparations. Isolated IMPs typically do not dissolve in aqueous solution, a property that arises from the large patches of hydrophobic surface necessary for favorable interactions with the core of a lipid bilayer. Detergents are generally required for IMP solubilization: hydrophobic segments of detergent molecules cluster around and shield from water the hydrophobic protein surfaces. The critical role played by detergents in membrane protein manipulation, and the fact that many IMPs are recalcitrant to solubilization and/or crystallization with currently available detergents, suggest that it should be valuable to explore new types of amphiphiles for these purposes. This review constitutes a progress report on our long-term effort to develop a new class of organic molecules, collectively designated "tripod amphiphiles," that are intended as alternatives to conventional detergents for membrane protein manipulation. One long-range goal of this research is to identify new types of amphiphiles that facilitate IMP crystallization. This review should help introduce an important biochemical need to organic chemists, and perhaps inspire new approaches to the problem.

A structural polymorphism of nucleic acids, which depends on the concentration of cations and the conditions of hydration, are strongly involved with interactions between DNA and proteins. In this paper, we report that different DNA sequences bound to hyperthermostable TATA-box-binding protein (PhoTBP) at different combinations of temperature and salt concentration in in vitro selection experiments. As a result of the interaction of-these selected DNAs with PhoTBP, characteristic changes in the numbers of water molecules and ions occurred under each condition of the selection experiment. This finding could help us to understand the solvent environment-dependent preference for base sequences in protein–DNA interactions.

Sanglifehrin A (SFA), a potent cyclophilin inhibitor produced by Streptomyces flaveolus DSM 9954, bears a unique [5.5] spirolactam moiety conjugated with a 22-membered, highly functionalized macrolide through a linear carbon chain. SFA displays a diverse range of biological activities and offers significant therapeutic potential. However, the structural complexity of SFA poses a tremendous challenge for new analogue development via chemical synthesis. Based on a rational prediction of its biosynthetic origin, herein we report the cloning, sequencing and characterization of the gene cluster responsible for SFA biosynthesis. Analysis of the 92 776 bp contiguous DNA region reveals a mixed polyketide synthase (PKS)/non-ribosomal peptide synthetase (NRPS) pathway which includes a variety of unique features for unusual PKS and NRPS building block formation. Our findings suggest that SFA biosynthesis requires a crotonyl-CoA reductase/carboxylase (CCR) for generation of the putative unusual PKS starter unit (2R)-2-ethylmalonamyl-CoA, an iterative type I PKS for the putative atypical extender unit (2S)-2-(2-oxo-butyl)malonyl-CoA and a phenylalanine hydroxylase for the NRPS extender unit (2S)-m-tyrosine. A spontaneous ketalization of significant note, may trigger spirolactam formation in a stereo-selective manner. This study provides a framework for the application of combinatorial biosynthesis methods in order to expand the structural diversity of SFA.

Apolipoprotein A1 (apoA1) is a component of the high density lipoproteins (HDL) that regulates the transport of cholesterol between the liver and peripheral cells and modulates the removal of any excess of cholesterol from membranes. Any variation in apoA1 composition may modify the plasma lipid profile and be involved in atherogenesis. We investigated apoA1 composition in plasma of 6 children with nephrotic syndrome, a condition characterized by high levels of cholesterol in plasma and by a high risk to develop atherosclerosis. Non-denaturing two-dimensional electrophoresis (Nat/SDS-PAGE), mass spectrometry, western blot and pull down experiments were done to characterize proteins and define putative interactions. ApoA1 was resolved in 12 variants, 6 of which had a slightly lower molecular weight (18-19 KDa) and migrated on the same axes of the β chain of haptoglobin (Hp). Low molecular weight apoA1 were observed in carriers of different Hp haplotypes (including one homozygous for the rare ββα1α1) ruling out any contaminant effect of co-migration of apoA1 with Hp α2 chain. Overall, apoA1 isoforms were much more present in plasma of nephrotic patients compared to a normal profile. These findings show that apoA1 plasma in nephrotic syndrome is heterogeneous in terms of molecular weight. Low molecular weight fragments lack internal structural domains and likely form macro-aggregates with Hp. Fragmentation and transport of apoA1 may be involved in the general disorder of lipid metabolism that characterizes nephrotic syndrome.

There are clearly many different philosophies associated with adapting fragment screening into mainstream Drug Discovery Lead Generation strategies. Scientists at Astex, for instance, focus entirely on strategies involving use of X-ray crystallography and NMR. However, AstraZeneca uses a number of different fragment screening strategies. One approach is to screen a 2000 compound fragment set (with close to "lead-like" complexity) at 100 microM in parallel with every HTS such that the data are obtained on the entire screening collection at 10 microM plus the extra samples at 100 microM; this provides valuable compound potency data in a concentration range that is usually unexplored. The fragments are then screen-specific "privileged structures" that can be searched for in the rest of the HTS output and other databases as well as having synthesis follow-up. A typical workflow for a fragment screen within AstraZeneca is shown below (Figure 24) and highlights the desirability (particularly when screening >100 microM) for NMR and X-ray information to validate weak hits and give information on how to optimise them. In this chapter, we have provided an introduction to the theoretical and practical issues associated with the use of fragment methods and lead-likeness. Fragment-based approaches are still in an early stage of development and are just one of many interrelated techniques that are now used to identify novel lead compounds for drug development. Fragment based screening has some advantages, but like every other drug hunting strategy will not be universally applicable. There are in particular some practical challenges associated with fragment screening that relate to the generally lower level of potency that such compounds initially possess. Considerable synthetic effort has to be applied for post-fragment screening to build the sort of potency that would be expected to be found from a traditional HTS. However, if there are no low-hanging fruit in a screening collection to be found by HTS then the use of fragment screening can help find novelty that may lead to a target not being discarded as intractable. As such, the approach offers some significant advantages by providing less complex molecules, which may have better potential for novel drug optimisation and by enabling new chemical space to be more effectively explored. Many literature examples that cover examples of fragment screening approaches are still at the "proof of concept" stage and although delivering inhibitors or ligands, may still prove to be unsuitable when further ADMET and toxicity profiling is done. The next few years should see a maturing of the area, and as our understanding of how the concepts can be best applied, there are likely to be many more examples of attractive, small molecule hits, leads and candidate drugs derived from the approaches described.

There is an ever increasing need to find surfaces that are biocompatible for applications like medical implants and microfluidics-based cell culture systems. The biocompatibility of five different surfaces with different hydrophobicity was determined using gene expression profiling as well as more conventional methods to determine biocompatibility such as cellular growth rate, morphology and the hydrophobicity of the surfaces. HeLa cells grown on polymethylmethacrylate (PMMA) or a SU-8 surface treated with HNO3-ceric ammonium nitrate (HNO3-CAN) and ethanolamine showed no differences in growth rate, morphology or gene expression profiles as compared to HeLa cells grown in cell culture flasks. Cells grown on SU-8 treated with only HNO3-CAN showed almost the same growth rate (36 +/- 1 h) and similar morphology as cells grown in cell culture flasks (32 +/- 1 h), indicating good biocompatibility. However, more than 200 genes showed different expression levels in cells grown on SU-8 treated with HNO3-CAN compared to cells grown in cell culture flasks. This shows that gene expression profiling is a simple and precise method for determining differences in cells grown on different surfaces that are otherwise difficult to find using conventional methods. It is particularly noteworthy that no correlation was found between surface hydrophobicity and biocompatibility.

The data generated from protein fingerprints with an alpha-helical peptide array were analyzed using several statistical methods such as hierarchical clustering analysis and principal component analysis to discriminate target proteins.

"Cells do not care about mathematics" thus concluded a biologist friend after a discussion on the future of biology. And indeed, why should they care? But if we exchange the word "cell" with "rock", "Moon" or "electrons", do we have to change the sentence also? Starting from this line of thought, we review some recent developments in understanding the stochastic behavior of biological systems. We emphasize the importance of a molecular Signal Generator in the study of genetic networks.

The native intracellular environment of proteins is crowded with metabolites and macromolecules. However, most biophysical information concerning proteins is acquired in dilute solution. To determine whether there are differences in dynamics, nuclear magnetic resonance spectroscopy can be used to measure 15N relaxation in uniformly 15N-enriched apocytochrome b5 inside living Escherichia coli and in dilute solution. Such data can then be used to compare the fast backbone dynamics of the partially folded protein in cells to its dynamics in dilute solution by using Lipari-Szabo analysis. It appears that the intracellular environment does not alter the protein's structure, or significantly change its fast dynamics. Specifically, the cytosol does not change the amplitude of fast backbone motions, but does increase the average timescale of these motions, most likely due to the increase in viscosity of the cytosol.

Microarrays are becoming pervasive in biology and can offer unparalleled insights into biological processes. This article suggests that a more considered approach to the design of array probe sequences can substantially improve the technology.

The first golden era of cancer drug development was initiated in the 1940s and gave rise to the cytotoxic agents that dominate current cancer medicine. The second golden era is now underway in which cancer genomics will direct drug development.

Ebola virus (EBOV) is highly lethal due to virally encoded immune antagonists, and the combination of EBOV VP24 with karyopherin alpha (KPNA) will trigger anti-interferon (IFN) signaling. The crystal structure of VP24-KPNA5 has been proposed in recent studies, but the precise binding mechanisms are still unclear. In order to explore the VP24-KPNA5 protein binding micro-mechanisms, Molecular Dynamic (MD) simulations and Molecular Mechanics Generalized Born Surface Area (MM-GB/SA) energy calculation are performed. The obtained results show that EBOV VP24 binding to KPNA5 will rigidify their binding-face, and both proteins will be compacted during binding. According to the analyses of binding free energies of WT and the eight mutant systems, MUT3 makes the most effective contributions to the interaction; additionally MUT4, R398A and the double mutant have the second most effective influence. Hydrogen bond analysis demonstrates that inhibitors which can interfere with the formation of hydrogen bonds D480-T138, E483-R137 and D205-R396 will prevent the anti-IFN effect. Meanwhile, by combining the decomposition of binding free energies (DC) with computational alanine scanning (CAS) results, it is shown that VP24 residues R137 and T138 will be potential targets for EBOV VP24 inhibitors, and KPNA5 residues R396, R398, R480, Y477 and F484 will be potential targets to prevent KPNA5 binding to VP24, which will ultimately block anti-IFN signaling. Our investigations provide theoretical data to understand the binding modes of VP24-KPNA5. The precise binding mechanisms of the complex may shed light on the development of potential novel inhibitors against EBOV infection.

The lifetimes of protein-DNA adducts are strictly related to the various protein functions. This feature must be encoded by the amino acids located at the protein-DNA interface. The large number of structurally characterized protein-DNA complexes now available from the Protein Data Bank (PDB) allows extensive structural bioinformatics investigations on protein-DNA interfaces. The modes of protein binding to DNA have been explored by dividing 629 non-redundant PDB files of protein-DNA complexes into separate classes for structural proteins, transcription factors and DNA-related enzymes. From the selected PDB structures, we could define 2953 protein-DNA contact regions. A systematic analysis of amino acid occurrences at these protein-DNA contact regions yielded composition profiles, which are typical for each of the three protein classes. The critical role of some amino acids to influence intermolecular contact lifetimes is discussed here. The occurrence of arginine at the protein-DNA interface, by far the most abundant amino acid in this protein moiety, is found to be the main feature that differentiates proteins from the three classes. Structural proteins and, to a lesser extent, transcription factors exhibit the highest Arg occurrence at protein-DNA contact regions. Reduced Arg/Lys ratios together with increased contents of Asp and Glu are observed in all the DNA-interacting enzymes. The amount of negatively charged side chains, highly conserved among homologous DNA-related enzymes at protein-DNA interfaces, is suggested as a tool to modulate protein mobility along DNA chains. Arg/Lys, Asp/Asn and Glu/Gln substitutions at protein-DNA interfaces may represent a very feasible way to control protein motion on DNA rails.

Correction for ‘Dynamic properties of dipeptidyl peptidase III from Bacteroides thetaiotaomicron and the structural basis for its substrate specificity – a computational study’ by M. Tomin et al., Mol. BioSyst., 2017, 13, 2407–2417.

Correction for ‘Dynamic properties of dipeptidyl peptidase III from Bacteroides thetaiotaomicron and the structural basis for its substrate specificity – a computational study’ by M. Tomin et al., Mol. BioSyst., 2017, 13, 2407–2417.