Autophosphorylation of the catalytic subunit of the DNA-dependent protein kinase is required for efficient end processing during DNA double-strand break repair

The DNA-dependent protein kinase (DNA-PK) plays an essential role in nonhomologous DNA end joining (NHEJ) by initially recognizing and binding to DNA breaks. We have shown that in vitro, purified DNA-PK undergoes autophosphorylation, resulting in loss of activity and disassembly of the kinase complex. Thus, we have suggested that autophosphorylation of the DNA-PK catalytic subunit (DNA-PKcs) may be critical for subsequent steps in DNA repair. Recently, we defined seven autophosphorylation sites within DNA-PKcs. Six of these are tightly clustered within 38 residues of the 4,127-residue protein. Here, we show that while phosphorylation at any single site within the major cluster is not critical for DNA-PK's function in vivo, mutation of several sites abolishes the ability of DNA-PK to function in NHEJ. This is not due to general defects in DNA-PK activity, as studies of the mutant protein indicate that its kinase activity and ability to form a complex with DNA-bound Ku remain largely unchanged. However, analysis of rare coding joints and ends demonstrates that nucleolytic end processing is dramatically reduced in joints mediated by the mutant DNA-PKcs. We therefore suggest that autophosphorylation within the major cluster mediates a conformational change in the DNA-PK complex that is critical for DNA end processing. However, autophosphorylation at these sites may not be sufficient for kinase disassembly.     

Structure, function and mechanism of exocyclic DNA methyltransferases

DNA MTases (methyltransferases) catalyse the transfer of methyl groups to DNA from AdoMet (S-adenosyl-L-methionine) producing AdoHcy (S-adenosyl-L-homocysteine) and methylated DNA. The C5 and N4 positions of cytosine and N6 position of adenine are the target sites for methylation. All three methylation patterns are found in prokaryotes, whereas cytosine at the C5 position is the only methylation reaction that is known to occur in eukaryotes. In general, MTases are two-domain proteins comprising one large and one small domain with the DNA-binding cleft located at the domain interface. The striking feature of all the structurally characterized DNA MTases is that they share a common core structure referred to as an 'AdoMet-dependent MTase fold'. DNA methylation has been reported to be essential for bacterial virulence, and it has been suggested that DNA adenine MTases (Dams) could be potential targets for both vaccines and antimicrobials. Drugs that block Dam could slow down bacterial growth and therefore drug-design initiatives could result in a whole new generation of antibiotics. The transfer of larger chemical entities in a MTase-catalysed reaction has been reported and this represents an interesting challenge for bio-organic chemists. In general, amino MTases could therefore be used as delivery systems for fluorescent or other reporter groups on to DNA. This is one of the potential applications of DNA MTases towards developing non-radioactive DNA probes and these could have interesting applications in molecular biology. Being nucleotide-sequence-specific, DNA MTases provide excellent model systems for studies on protein-DNA interactions. The focus of this review is on the chemistry, enzymology and structural aspects of exocyclic amino MTases.     

PocketDepth: a new depth based algorithm for identification of ligand binding sites in proteins

Predicting functional sites in proteins is important in structural biology for understanding the function and also for structure-based drug design. Here we report a new binding site prediction method PocketDepth, which is geometry based and uses a depth based clustering. Depth is an important parameter considered during protein structure visualisation and analysis but has been used more often intuitively than systematically. Our current implementation of depth reflects how central a given subspace is to a putative pocket. We have tested the algorithm against PDBbind, a large curated set of 1091 proteins. A prediction was considered a true-positive if the predicted pocket had at least 10% overlap with the actual ligand. Two different parameter sets, 'deeper' and 'surface' were used, for wider coverage of different types of binding sites in proteins. With deeper parameters, true-positives were observed for 841 proteins, resulting in a prediction accuracy of 77%, for any ranked prediction. Of these, 55.2% were first ranked predictions, whereas 91.2% and 97.4% were covered in the first 5 and 10 ranks, respectively. With the 'surface' parameters, a prediction rate of 95.8% was observed, albeit with much poorer ranks. The deeper set identified pocket boundaries more precisely and yielded better ranks, while the latter missed fewer predictions and hence had better coverage. The two parameter sets were therefore algorithmically combined, resulting in prediction accuracies of 96.5% for any ranked prediction. About 41.8% of these were in the first rank, 82% and 94% were in top 5 and 10 ranks, respectively. The algorithm is available at http://proline.physics.iisc.ernet.in/pocketdepth.     

Structural annotation of Mycobacterium tuberculosis proteome

Of the ～4000 ORFs identified through the genome sequence of Mycobacterium tuberculosis (TB) H37Rv, experimentally determined structures are available for 312. Since knowledge of protein structures is essential to obtain a high-resolution understanding of the underlying biology, we seek to obtain a structural annotation for the genome, using computational methods. Structural models were obtained and validated for ～2877 ORFs, covering ～70% of the genome. Functional annotation of each protein was based on fold-based functional assignments and a novel binding site based ligand association. New algorithms for binding site detection and genome scale binding site comparison at the structural level, recently reported from the laboratory, were utilized. Besides these, the annotation covers detection of various sequence and sub-structural motifs and quaternary structure predictions based on the corresponding templates. The study provides an opportunity to obtain a global perspective of the fold distribution in the genome. The annotation indicates that cellular metabolism can be achieved with only 219 folds. New insights about the folds that predominate in the genome, as well as the fold-combinations that make up multi-domain proteins are also obtained. 1728 binding pockets have been associated with ligands through binding site identification and sub-structure similarity analyses. The resource (http://proline.physics.iisc.ernet.in/Tbstructuralannotation), being one of the first to be based on structure-derived functional annotations at a genome scale, is expected to be useful for better understanding of TB and for application in drug discovery. The reported annotation pipeline is fairly generic and can be applied to other genomes as well.     

Non-homologous end joining requires that the DNA-PK complex undergo an autophosphorylation-dependent rearrangement at DNA ends

Repair of chromosome breaks by non-homologous end joining requires the XRCC4-ligase IV complex, Ku, and the DNA-dependent protein kinase catalytic subunit (DNA-PKcs). DNA-PKcs must also retain kinase activity and undergo autophosphorylation at six closely linked sites (ABCDE sites). We describe here an end-joining assay using only purified components that reflects cellular requirements for both Ku and kinase-active DNA-PKcs and investigate the mechanistic basis for these requirements. A need for DNA-PKcs autophosphorylation is sufficient to explain the requirement for kinase activity, in part because autophosphorylation is generally required for end-joining factors to access DNA ends. However, DNA-PKcs with all six ABCDE autophosphorylation sites mutated to alanine allows access to ends through autophosphorylation of other sites, yet our in vitro end-joining assay still reflects the defectiveness of this mutant in cellular end joining. In contrast, mutation of ABCDE sites to aspartate, a phosphorylation mimic, supports high levels of end joining that is now independent of kinase activity. This is likely because DNA-PKcs with aspartate substitutions at ABCDE sites allow access to DNA ends while retaining affinity for Ku-bound ends and stabilizing recruitment of the XRCC4-ligase IV complex. Autophosphorylation at ABCDE sites thus apparently directs a rearrangement of the DNA-PK complex that ensures access to broken ends and joining steps are coupled together within a synaptic complex, making repair more accurate.     

1,2,3-Triazole fused with pyridine/pyrimidine as new template for antimicrobial agents: Regioselective synthesis and identification of potent N-heteroarenes

The 1,2,3-triazole ring fused with pyridine/pyrimidine was explored as new template for the identification of potential antimicrobial agents. The regioselective synthesis of these pre-designed N-heteroarenes was achieved via exploring the application of Buchwald’s strategy (i.e. C–N bond formation/reduction/diazotization/cyclization sequence) to the N-heteroarene system. Two of them showed promising antibacterial (comparable to streptomycin) and several showed potent antifungal (comparable to mancozeb) activities.     

Sequence Diversity of the Nucleoprotein Gene of Peanut bud necrosis virus Isolates from South India

Peanut bud necrosis virus (PBNV), genus Tospovirus (family Bunyaviridae), is an important virus infecting peanut and other crops in South India. PBNV isolates naturally infecting groundnut, brinjal, tomato, black gram, field bean, cowpea, cotton, jute, taro and Calotropis plants were collected from different regions of South India and characterized. Infection was confirmed by direct antigen‐coating enzyme‐linked immunosorbent assay (DAC‐ELISA) using PBNV‐specific antiserum. The coat protein gene was further amplified using PBNV coat protein‐specific primers. The amplicon (830 bp) was cloned and sequenced; sequence analysis revealed that the N gene shared 93–100% and 95–100% sequence identity with PBNV at the nucleotide and amino acid levels, respectively.     

PocketMatch: A new algorithm to compare binding sites in protein structures

Background  

Recognizing similarities and deriving relationships among protein molecules is a fundamental requirement in present-day biology. Similarities can be present at various levels which can be detected through comparison of protein sequences or their structural folds. In some cases similarities obscure at these levels could be present merely in the substructures at their binding sites. Inferring functional similarities between protein molecules by comparing their binding sites is still largely exploratory and not as yet a routine protocol. One of the main reasons for this is the limitation in the choice of appropriate analytical tools that can compare binding sites with high sensitivity. To benefit from the enormous amount of structural data that is being rapidly accumulated, it is essential to have high throughput tools that enable large scale binding site comparison.