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Featured researches published by David M. A. Martin.


Bioinformatics | 2009

Jalview Version 2--a multiple sequence alignment editor and analysis workbench.

Andrew M. Waterhouse; James B. Procter; David M. A. Martin; Michele E. Clamp; Geoffrey J. Barton

Summary: Jalview Version 2 is a system for interactive WYSIWYG editing, analysis and annotation of multiple sequence alignments. Core features include keyboard and mouse-based editing, multiple views and alignment overviews, and linked structure display with Jmol. Jalview 2 is available in two forms: a lightweight Java applet for use in web applications, and a powerful desktop application that employs web services for sequence alignment, secondary structure prediction and the retrieval of alignments, sequences, annotation and structures from public databases and any DAS 1.53 compliant sequence or annotation server. Availability: The Jalview 2 Desktop application and JalviewLite applet are made freely available under the GPL, and can be downloaded from www.jalview.org Contact: [email protected]


Nature | 2002

Genome sequence of the human malaria parasite Plasmodium falciparum

Malcolm J. Gardner; Neil Hall; Eula Fung; Owen White; Matthew Berriman; Richard W. Hyman; Jane M. Carlton; Arnab Pain; Karen E. Nelson; Sharen Bowman; Ian T. Paulsen; Keith D. James; Jonathan A. Eisen; Kim Rutherford; Alister Craig; Sue Kyes; Man Suen Chan; Vishvanath Nene; Shamira Shallom; Bernard B. Suh; Jeremy Peterson; Sam Angiuoli; Mihaela Pertea; Jonathan E. Allen; Jeremy D. Selengut; Daniel H. Haft; Michael W. Mather; Akhil B. Vaidya; David M. A. Martin; Alan H. Fairlamb

The parasite Plasmodium falciparum is responsible for hundreds of millions of cases of malaria, and kills more than one million African children annually. Here we report an analysis of the genome sequence of P. falciparum clone 3D7. The 23-megabase nuclear genome consists of 14 chromosomes, encodes about 5,300 genes, and is the most (A + T)-rich genome sequenced to date. Genes involved in antigenic variation are concentrated in the subtelomeric regions of the chromosomes. Compared to the genomes of free-living eukaryotic microbes, the genome of this intracellular parasite encodes fewer enzymes and transporters, but a large proportion of genes are devoted to immune evasion and host–parasite interactions. Many nuclear-encoded proteins are targeted to the apicoplast, an organelle involved in fatty-acid and isoprenoid metabolism. The genome sequence provides the foundation for future studies of this organism, and is being exploited in the search for new drugs and vaccines to fight malaria.


Nucleic Acids Research | 2003

ELM server: a new resource for investigating short functional sites in modular eukaryotic proteins

Pål Puntervoll; Rune Linding; Christine Gemünd; Sophie Chabanis-Davidson; Morten Mattingsdal; Scott Cameron; David M. A. Martin; Gabriele Ausiello; Barbara Brannetti; Anna Costantini; Fabrizio Ferrè; Vincenza Maselli; Allegra Via; Gianni Cesareni; Francesca Diella; Giulio Superti-Furga; Lucjan S. Wyrwicz; Chenna Ramu; Caroline McGuigan; Rambabu Gudavalli; Ivica Letunic; Peer Bork; Leszek Rychlewski; Bernhard Kuster; Manuela Helmer-Citterich; William N. Hunter; Rein Aasland; Toby J. Gibson

Multidomain proteins predominate in eukaryotic proteomes. Individual functions assigned to different sequence segments combine to create a complex function for the whole protein. While on-line resources are available for revealing globular domains in sequences, there has hitherto been no comprehensive collection of small functional sites/motifs comparable to the globular domain resources, yet these are as important for the function of multidomain proteins. Short linear peptide motifs are used for cell compartment targeting, protein-protein interaction, regulation by phosphorylation, acetylation, glycosylation and a host of other post-translational modifications. ELM, the Eukaryotic Linear Motif server at http://elm.eu.org/, is a new bioinformatics resource for investigating candidate short non-globular functional motifs in eukaryotic proteins, aiming to fill the void in bioinformatics tools. Sequence comparisons with short motifs are difficult to evaluate because the usual significance assessments are inappropriate. Therefore the server is implemented with several logical filters to eliminate false positives. Current filters are for cell compartment, globular domain clash and taxonomic range. In favourable cases, the filters can reduce the number of retained matches by an order of magnitude or more.


Science | 2007

Draft Genome of the Filarial Nematode Parasite Brugia malayi

Elodie Ghedin; Shiliang Wang; David J. Spiro; Elisabet Caler; Qi Zhao; Jonathan Crabtree; Jonathan E. Allen; Arthur L. Delcher; David B. Guiliano; Diego Miranda-Saavedra; Samuel V. Angiuoli; Todd Creasy; Paolo Amedeo; Brian J. Haas; Najib M. El-Sayed; Jennifer R. Wortman; Tamara Feldblyum; Luke J. Tallon; Michael C. Schatz; Martin Shumway; Hean Koo; Seth Schobel; Mihaela Pertea; Mihai Pop; Owen White; Geoffrey J. Barton; Clotilde K. S. Carlow; Michael J. Crawford; Jennifer Daub; Matthew W. Dimmic

Parasitic nematodes that cause elephantiasis and river blindness threaten hundreds of millions of people in the developing world. We have sequenced the ∼90 megabase (Mb) genome of the human filarial parasite Brugia malayi and predict ∼11,500 protein coding genes in 71 Mb of robustly assembled sequence. Comparative analysis with the free-living, model nematode Caenorhabditis elegans revealed that, despite these genes having maintained little conservation of local synteny during ∼350 million years of evolution, they largely remain in linkage on chromosomal units. More than 100 conserved operons were identified. Analysis of the predicted proteome provides evidence for adaptations of B. malayi to niches in its human and vector hosts and insights into the molecular basis of a mutualistic relationship with its Wolbachia endosymbiont. These findings offer a foundation for rational drug design.


Nucleic Acids Research | 2006

Identification of multiple distinct Snf2 subfamilies with conserved structural motifs

Andrew Flaus; David M. A. Martin; Geoffrey J. Barton; Tom Owen-Hughes

The Snf2 family of helicase-related proteins includes the catalytic subunits of ATP-dependent chromatin remodelling complexes found in all eukaryotes. These act to regulate the structure and dynamic properties of chromatin and so influence a broad range of nuclear processes. We have exploited progress in genome sequencing to assemble a comprehensive catalogue of over 1300 Snf2 family members. Multiple sequence alignment of the helicase-related regions enables 24 distinct subfamilies to be identified, a considerable expansion over earlier surveys. Where information is known, there is a good correlation between biological or biochemical function and these assignments, suggesting Snf2 family motor domains are tuned for specific tasks. Scanning of complete genomes reveals all eukaryotes contain members of multiple subfamilies, whereas they are less common and not ubiquitous in eubacteria or archaea. The large sample of Snf2 proteins enables additional distinguishing conserved sequence blocks within the helicase-like motor to be identified. The establishment of a phylogeny for Snf2 proteins provides an opportunity to make informed assignments of function, and the identification of conserved motifs provides a framework for understanding the mechanisms by which these proteins function.


Molecular Biology of the Cell | 2010

High-Resolution Whole-Genome Sequencing Reveals That Specific Chromatin Domains from Most Human Chromosomes Associate with Nucleoli

Silvana van Koningsbruggen; Marek Gierliński; Pietà G. Schofield; David M. A. Martin; Geoffrey J. Barton; Yavuz Ariyurek; Johan T. den Dunnen; Angus I. Lamond

We present a genomewide, high-resolution study of nucleolar-associated chromatin using comparative genome hybridization, deep sequencing, and photoactivation microscopy. We show specific regions from most chromosomes associate with nucleoli. These regions are AT-rich, enriched in repressed genes, and overlap with nuclear lamina-associated loci.


Molecular & Cellular Proteomics | 2009

The Phosphoproteome of Bloodstream Form Trypanosoma brucei, Causative Agent of African Sleeping Sickness

Isabelle R. E. Nett; David M. A. Martin; Diego Miranda-Saavedra; Douglas J. Lamont; Jonathan D. Barber; Angela Mehlert; Michael A. J. Ferguson

The protozoan parasite Trypanosoma brucei is the causative agent of human African sleeping sickness and related animal diseases, and it has over 170 predicted protein kinases. Protein phosphorylation is a key regulatory mechanism for cellular function that, thus far, has been studied in T.brucei principally through putative kinase mRNA knockdown and observation of the resulting phenotype. However, despite the relatively large kinome of this organism and the demonstrated essentiality of several T. brucei kinases, very few specific phosphorylation sites have been determined in this organism. Using a gel-free, phosphopeptide enrichment-based proteomics approach we performed the first large scale phosphorylation site analyses for T.brucei. Serine, threonine, and tyrosine phosphorylation sites were determined for a cytosolic protein fraction of the bloodstream form of the parasite, resulting in the identification of 491 phosphoproteins based on the identification of 852 unique phosphopeptides and 1204 phosphorylation sites. The phosphoproteins detected in this study are predicted from their genome annotations to participate in a wide variety of biological processes, including signal transduction, processing of DNA and RNA, protein synthesis, and degradation and to a minor extent in metabolic pathways. The analysis of phosphopeptides and phosphorylation sites was facilitated by in-house developed software, and this automated approach was validated by manual annotation of spectra of the kinase subset of proteins. Analysis of the cytosolic bloodstream form T. brucei kinome revealed the presence of 44 phosphorylated protein kinases in our data set that could be classified into the major eukaryotic protein kinase groups by applying a multilevel hidden Markov model library of the kinase catalytic domain. Identification of the kinase phosphorylation sites showed conserved phosphorylation sequence motifs in several kinase activation segments, supporting the view that phosphorylation-based signaling is a general and fundamental regulatory process that extends to this highly divergent lower eukaryote.


G3: Genes, Genomes, Genetics | 2013

Construction of Reference Chromosome-Scale Pseudomolecules for Potato: Integrating the Potato Genome with Genetic and Physical Maps

Sanjeev Kumar Sharma; Daniel Bolser; Jan Paul de Boer; Mads Sønderkær; Walter Amoros; Martín Federico Carboni; Juan Martín D’Ambrosio; German de la Cruz; Alex Di Genova; David S. Douches; María Eguiluz; Xiao-Qiang Guo; Frank Guzmán; Christine A. Hackett; John P. Hamilton; Guangcun Li; Ying Li; Roberto Lozano; Alejandro Maass; David Marshall; Diana Martínez; Karen McLean; Nilo Mejía; Linda Milne; Susan Munive; Istvan Nagy; Olga Ponce; Manuel Ramirez; Reinhard Simon; Susan Thomson

The genome of potato, a major global food crop, was recently sequenced. The work presented here details the integration of the potato reference genome (DM) with a new sequence-tagged site marker−based linkage map and other physical and genetic maps of potato and the closely related species tomato. Primary anchoring of the DM genome assembly was accomplished by the use of a diploid segregating population, which was genotyped with several types of molecular genetic markers to construct a new ~936 cM linkage map comprising 2469 marker loci. In silico anchoring approaches used genetic and physical maps from the diploid potato genotype RH89-039-16 (RH) and tomato. This combined approach has allowed 951 superscaffolds to be ordered into pseudomolecules corresponding to the 12 potato chromosomes. These pseudomolecules represent 674 Mb (~93%) of the 723 Mb genome assembly and 37,482 (~96%) of the 39,031 predicted genes. The superscaffold order and orientation within the pseudomolecules are closely collinear with independently constructed high density linkage maps. Comparisons between marker distribution and physical location reveal regions of greater and lesser recombination, as well as regions exhibiting significant segregation distortion. The work presented here has led to a greatly improved ordering of the potato reference genome superscaffolds into chromosomal “pseudomolecules”.


Nucleic Acids Research | 2008

TarO: a target optimisation system for structural biology

Ian M. Overton; C. A. Johannes van Niekerk; Lester G. Carter; Alice Dawson; David M. A. Martin; Scott Cameron; Stephen A. McMahon; Malcolm F. White; William N. Hunter; James H. Naismith; Geoffrey J. Barton

TarO (http://www.compbio.dundee.ac.uk/taro) offers a single point of reference for key bioinformatics analyses relevant to selecting proteins or domains for study by structural biology techniques. The protein sequence is analysed by 17 algorithms and compared to 8 databases. TarO gathers putative homologues, including orthologues, and then obtains predictions of properties for these sequences including crystallisation propensity, protein disorder and post-translational modifications. Analyses are run on a high-performance computing cluster, the results integrated, stored in a database and accessed through a web-based user interface. Output is in tabulated format and in the form of an annotated multiple sequence alignment (MSA) that may be edited interactively in the program Jalview. TarO also simplifies the gathering of additional annotations via the Distributed Annotation System, both from the MSA in Jalview and through links to Dasty2. Routes to other information gateways are included, for example to relevant pages from UniProt, COG and the Conserved Domains Database. Open access to TarO is available from a guest account with private accounts for academic use available on request. Future development of TarO will include further analysis steps and integration with the Protein Information Management System (PIMS), a sister project in the BBSRC ‘Structural Proteomics of Rational Targets’ initiative


The FASEB Journal | 1995

Tissue factor: molecular recognition and cofactor function.

David M. A. Martin; C. W. G. Boys; Wolfram Ruf

One aspect of the inflammatory response is the activation of the coagulation protease cascade resulting from the expression of tissue factor (TF) on vascular cells. TF is the cell‐surface receptor for the coagulation serine protease factor VIIa, providing cofactor function by “switching on” the catalytic site of the bound enzyme and by contributing to the assembly with macromolecular substrate. The recently determined crystal structure of the TF extracellular domain shows two β‐strand modules of C2 immunoglobulin‐like topology that align at a 125° angle with an extensive intermodule interface. Mutagenesis studies have identified residues in both modules that are important for the binding of ligand. The deduced ligand interface extends from the convex side of the molecule into the concave side of the elbow angle. Specific binding residues control the catalytic activity of the bound protease. At the lower end of the carboxyl‐terminal module, basic residues form part of a region that is important for both recognition and activation of macromolecular substrate and, potentially, for modulation of proteolytic function. After combining the biochemical data with the crystal structure, a model of TF function can be proposed in which the catalytic activity of the active site of the protease and the extended recognition of macromolecular substrates are separately controlled by distinct structural sites of the cofactor.—Martin, D. M. A., Boys, C. W. G., Ruf, W. Tissue factor: molecular recognition and cofactor function. FASEB J. 9, 852‐859 (1995)

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