A tertiary plastid uses genes from two endosymbionts

The origin and subsequent spread of plastids by endosymbiosis had a major environmental impact and altered the course of a great proportion of eukaryotic biodiversity. The ancestor of dinoflagellates contained a secondary plastid that was acquired in an ancient endosymbiotic event, where a eukaryotic cell engulfed a red alga. This is known as secondary endosymbiosis and has happened several times in eukaryotic evolution. Certain dinoflagellates, however, are unique in having replaced this secondary plastid in an additional (tertiary) round of endosymbiosis. Most plastid proteins are encoded in the nucleus of the host and are targeted to the organelle. When secondary or tertiary endosymbiosis takes place, it is thought that these genes move from nucleus to nucleus, so the plastid retains the same proteome. We have conducted large-scale expressed sequence tag (EST) surveys from Karlodinium micrum, a dinoflagellate with a tertiary haptophyte-derived plastid, and two haptophytes, Isochrysis galbana and Pavlova lutheri. We have identified all plastid-targeted proteins, analysed the phylogenetic origin of each protein, and compared their plastid-targeting transit peptides. Many plastid-targeted genes in the Karlodinium nucleus are indeed of haptophyte origin, but some genes were also retained from the original plastid (showing the two plastids likely co-existed in the same cell), in other cases multiple isoforms of different origins exist. We analysed plastid-targeting sequences and found the transit peptides in K.micrum are different from those found in either dinoflagellates or haptophytes, pointing to a plastid with an evolutionarily chimeric proteome, and a massive remodelling of protein trafficking during plastid replacement.

A Functional Continuum of Regulatory Anxiety-Enhancing Peptides. The Search for Complexes Providing the Optimal Basis for Developing Inhibitory Therapeutic Agents

Regulatory peptides are actively involved in controlling most physiological processes. One such function is regulation of the level of anxiety and panic states. We report here a meta-analysis of data published from 1960 to 2004 on the effects of anxiety-enhancing regulatory peptides. The resulting database was used to investigate the organization and functioning of the anxiogenic regulatory peptide system. Using vector representation of the effects of these peptides, the spectra of physiological effects which might be provoked by each anxiety- and fear-increasing regulatory peptide alone and in combination were evaluated. Complexes of regulatory peptides with anxiogenic profiles with the greatest potential for the further experimental development of inhibitory pharmacological agents were identified.

PenBase, the shrimp antimicrobial peptide penaeidin database: sequence-based classification and recommended nomenclature

Antimicrobial peptides play a major role in innate immunity. The penaeidins, initially characterized from the shrimp Litopenaeus vannamei, are a family of antimicrobial peptides that appear to be expressed in all penaeid shrimps. As of recent, a large number of penaeid nucleotide sequences have been identified from a variety of penaeid shrimp species and these sequences currently reside in several databases under unique identifiers with no nomenclatural continuity. To facilitate research in this field and avoid potential confusion due to a diverse number of nomenclatural designations, we have made a systematic effort to collect, analyse, and classify all the penaeidin sequences available in every database. We have identified a common penaeidin signature and subsequently established a classification based on amino acid sequences. In order to clarify the naming process, we have introduced a 'penaeidin nomenclature' that can be applied to all extant and future penaeidins. A specialized database, PenBase, which is freely available at , has been developed for the penaeidin family of antimicrobial peptides, to provide comprehensive information about their properties, diversity and nomenclature.

Improved classification of mass spectrometry database search results using newer machine learning approaches

Manual analysis of mass spectrometry data is a current bottleneck in high throughput proteomics. In particular, the need to manually validate the results of mass spectrometry database searching algorithms can be prohibitively time-consuming. Development of software tools that attempt to quantify the confidence in the assignment of a protein or peptide identity to a mass spectrum is an area of active interest. We sought to extend work in this area by investigating the potential of recent machine learning algorithms to improve the accuracy of these approaches and as a flexible framework for accommodating new data features. Specifically we demonstrated the ability of boosting and random forest approaches to improve the discrimination of true hits from false positive identifications in the results of mass spectrometry database search engines compared with thresholding and other machine learning approaches. We accommodated additional attributes obtainable from database search results, including a factor addressing proton mobility. Performance was evaluated using publically available electrospray data and a new collection of MALDI data generated from purified human reference proteins.

Overview of scorpion toxins specific for Na+ channels and related peptides: biodiversity, structure-function relationships and evolution

Scorpion venoms contain a large number of bioactive components. Several of the long-chain peptides were shown to be responsible for neurotoxic effects, due to their ability to recognize Na(+) channels and to cause impairment of channel functions. Here, we revisited the basic paradigms in the study of these peptides in the light of recent data concerning their structure-function relationships, their functional divergence and extant biodiversity. The reviewed topics include: the criteria for classification of long-chain peptides according to their function, and a revision of the state-of-the-art knowledge concerning the surface areas of contact of these peptides with known Na(+) channels. Additionally, we compiled a comprehensive list encompassing 191 different amino acid sequences from long-chain peptides purified from scorpion venoms. With this dataset, a phylogenetic tree was constructed and discussed taking into consideration their documented functional divergence. A critical view on problems associated with the study of these scorpion peptides is presented, drawing special attention to the points that need revision and to the subjects under intensive research at this moment, regarding scorpion toxins specific for Na(+) channels and the other related long-chain peptides recently described.

Diversity of wheat anti-microbial peptides

From seeds of Triticum kiharae Dorof. et Migusch., 24 novel anti-microbial peptides were isolated and characterized by a combination of three-step HPLC (affinity, size-exclusion and reversed-phase) with matrix-assisted laser-desorption/ionization time-of-flight (MALDI-TOF) mass spectrometry and Edman degradation. Based on sequence similarity and cysteine motifs, partially sequenced peptides were assigned to 7 families: defensins, thionins, lipid-transfer proteins, hevein-like peptides, knottin-like peptides, glycine-rich peptides, and MBP-1 homologs. A novel subfamily of defensins consisting of 6 peptides and a new family of glycine-rich (8 peptides with different repeat motifs) were identified. Three 6-cysteine knottin-like peptides represented by N- and C-terminally truncated variants revealed no sequence homology to any known plant anti-microbial peptides. A new 8-cysteine hevein-like peptide and three 4-cysteine peptides homologous to MBP-1 from maize were isolated. This is the first communication on the occurrence of nearly all families of plant anti-microbial peptides in a single species.

SPdb--a signal peptide database

Background

The signal peptide plays an important role in protein targeting and protein translocation in both prokaryotic and eukaryotic cells. This transient, short peptide sequence functions like a postal address on an envelope by targeting proteins for secretion or for transfer to specific organelles for further processing. Understanding how signal peptides function is crucial in predicting where proteins are translocated. To support this understanding, we present SPdb signal peptide database , a repository of experimentally determined and computationally predicted signal peptides.

Results

SPdb integrates information from two sources (a) Swiss-Prot protein sequence database which is now part of UniProt and (b) EMBL nucleotide sequence database. The database update is semi-automated with human checking and verification of the data to ensure the correctness of the data stored. The latest release SPdb release 3.2 contains 18,146 entries of which 2,584 entries are experimentally verified signal sequences; the remaining 15,562 entries are either signal sequences that fail to meet our filtering criteria or entries that contain unverified signal sequences.

Conclusion

SPdb is a manually curated database constructed to support the understanding and analysis of signal peptides. SPdb tracks the major updates of the two underlying primary databases thereby ensuring that its information remains up-to-date.

Phylogenetic distribution, functional epitopes and evolution of the CSalphabeta superfamily

A superfamily of proteins often conserves a common structural scaffold but develops diverse biochemical and biological functions during evolution. The understanding of evolutionary mechanisms responsible for this diversity is of fundamental importance not only in structural genomics but also in nature-guided drug design. A superfamily of peptides with a conserved CSalphabeta structural motif provides a considerably intriguing example to approach such an issue. The peptides from this superfamily have wide origins, ranging from plants to animals, and exhibit diverse biological activities, varying from a sweet-tasting protein to antibacterial defensins and animal toxins targeting ion channels. This review describes the phylogenetic distribution and structural classifi cation of this unique scaffold and provides new insights into its functional diversity from the perspective of sequence, structure and evolution.

Variation in structural location and amino acid conservation of functional sites in protein domain families

Background

The functional sites of a protein present important information for determining its cellular function and are fundamental in drug design. Accordingly, accurate methods for the prediction of functional sites are of immense value. Most available methods are based on a set of homologous sequences and structural or evolutionary information, and assume that functional sites are more conserved than the average. In the analysis presented here, we have investigated the conservation of location and type of amino acids at functional sites, and compared the behaviour of functional sites between different protein domains.

Results

Functional sites were extracted from experimentally determined structural complexes from the Protein Data Bank harbouring a conserved protein domain from the SMART database. In general, functional (i.e. interacting) sites whose location is more highly conserved are also more conserved in their type of amino acid. However, even highly conserved functional sites can present a wide spectrum of amino acids. The degree of conservation strongly depends on the function of the protein domain and ranges from highly conserved in location and amino acid to very variable. Differentiation by binding partner shows that ion binding sites tend to be more conserved than functional sites binding peptides or nucleotides.

Conclusion

The results gained by this analysis will help improve the accuracy of functional site prediction and facilitate the characterization of unknown protein sequences.

Crystal Structures of Aza-β3-peptides, A New Class of Foldamers Relying on a Framework of Hydrazinoturns

Crystals of aza-beta3-peptides have been obtained. This gives the first opportunity for hydrazino peptides, in the sense of oligomers built exclusively with alpha-hydrazinoacetic units, to be observed in the solid state. The structures make it clear that the H-bond network developed by aza-beta3-peptides differs radically from those of the corresponding beta3-peptides but strongly resembles that of the alpha-aminoxy peptides. Our study contributes to the current interest in hydrazino peptides as an extension of the beta-peptide concept.

Accumulation of radiolabelled low molecular peptides and proteins in experimental inflammation

This study focuses on evaluating accumulation of the low molecular peptides and proteins labelled with 99mTc in rat inflammatory/infection foci. Peptides (human leukocyte dialysate, HLD; thymosin fraction 5, TF5; aprotinin, APT), and proteins (human IgG, HIG) were labelled with 99mTc using redox polymer. The labelling efficiency was evaluated using paper, TLC and/or column chromatography. Biodistribution of labelled substances was evaluated in rats with Staphylococcus aureus infection or with sterile kaolin suspension inflammation 24 h after abscess induction. Accumulation of 99mTc activity was determinated both by external gamma camera imaging and by counting dissected tissues 4 h after administration. The evaluated peptides and proteins show high labelling efficiency (99mTc-HLD>98%, 99mTc-TF5>95%, 99mTc-APT>98%, 99mTc-HIG>95%). Usage of redox polymer for labelling increases the stability of 99mTc-labelled substances. The labelling efficiency stays nearly the same (95-98%) after 8 h at least. In experimentally induced inflammation the amount of 99mTc-peptides and 99mTc-HIG activity accumulated is 2.5-6.5 and 5.3-10.6 times higher than in a control tissue. When comparing two types of model inflammations (kaolin- and Staphylococcus-induced ones), the values measured with 99mTc-peptides are more than double than those of kaolin suspension inflammation. The studied low molecular peptides labelled with 99mTc allow rapid localisation of infection foci. 99mTc labelled HIG proved useful for detection of infections and inflammatory lesions.

Solution structure of χ-conopeptide MrIA, a modulator of the human norepinephrine transporter

The chi-conopeptides MrIA and MrIB are 13-residue peptides with two disulfide bonds that inhibit human and rat norepinephrine transporter systems and are of significant interest for the design of novel drugs involved in pain treatment. In the current study we have determined the solution structure of MrIA using NMR spectroscopy. The major element of secondary structure is a beta-hairpin with the two strands connected by an inverse gamma-turn. The residues primarily involved in activity have previously been shown to be located in the turn region (Sharpe, I. A.; Palant, E.; Schroder, C. I.; Kaye, D. M.; Adams, D. J.; Alewood, P. F.; Lewis, R. J. J Biol Chem 2003, 278, 40317-40323), which appears to be more flexible than the beta-strands based on disorder in the ensemble of calculated structures. Analogues of MrIA with N-terminal truncations indicate that the N-terminal residues play a role in defining a stable conformation and the native disulfide connectivity. In particular, noncovalent interactions between Val3 and Hyp12 are likely to be involved in maintaining a stable conformation. The N-terminus also affects activity, as a single N-terminal deletion introduced additional pharmacology at rat vas deferens, while deleting the first two amino acids reduced chi-conopeptide potency.

Scorpion Venom Peptides without Disulfide Bridges

Several hundred disulfide-bridged neurotoxic peptides have been characterized from scorpion venom; however, only few scorpion venom peptides without disulfide bridges have been identified and characterized. These non-disulfide-bridged peptides (NDBPs) are a novel class of molecules because of their unique antimicrobial, immunological or cellular signaling activities. This review provides an overview of their structural simplicity, precursor processing, biological activities and evolution, and sheds insight into their potential clinical and agricultural applications. Based on their pharmacological activities and peptide size similarity, we have classified these peptides into six subfamilies.

4SCOPmap: automated assignment of protein structures to evolutionary superfamilies

Background

Inference of remote homology between proteins is very challenging and remains a prerogative of an expert. Thus a significant drawback to the use of evolutionary-based protein structure classifications is the difficulty in assigning new proteins to unique positions in the classification scheme with automatic methods. To address this issue, we have developed an algorithm to map protein domains to an existing structural classification scheme and have applied it to the SCOP database.

Results

The general strategy employed by this algorithm is to combine the results of several existing sequence and structure comparison tools applied to a query protein of known structure in order to find the homologs already classified in SCOP database and thus determine classification assignments. The algorithm is able to map domains within newly solved structures to the appropriate SCOP superfamily level with ~95% accuracy. Examples of correctly mapped remote homologs are discussed. The algorithm is also capable of identifying potential evolutionary relationships not specified in the SCOP database, thus helping to make it better. The strategy of the mapping algorithm is not limited to SCOP and can be applied to any other evolutionary-based classification scheme as well. SCOPmap is available for download.

Conclusion

The SCOPmap program is useful for assigning domains in newly solved structures to appropriate superfamilies and for identifying evolutionary links between different superfamilies.

The use of cell-penetrating peptides for drug delivery

In the past decade, several peptides that can translocate cell membranes have been identified. Some of these peptides, which can be divided into different families, have short amino acid sequences (10-27 residues in length) and enter the cell by a receptor-independent mechanism. Furthermore, these peptides are capable of internalizing hydrophilic cargoes. Although the detailed mechanism by which these molecules enter cells is poorly understood, their ability to traverse the membrane into the cytoplasm has provided a new and powerful biological tool for transporting drugs across cell membranes.

A new class (penaeidin class 4) of antimicrobial peptides from the Atlantic white shrimp (Litopenaeus setiferus) exhibits target specificity and an independent proline-rich-domain function

A highly pure, chemically defined representative of a new class of antimicrobial peptide from the Atlantic white shrimp (Litopenaeus setiferus), penaeidin class 4 [Pen4-1 (penaeidin class 4 isoform 1)], was produced synthetically. Chemical synthesis was achieved by native ligation from two separate domains yielding a bioactive peptide that reflected the characteristics of native penaeidin. Synthetic Pen4-1 proved to be an effective antimicrobial peptide, particularly against the broad-spectrum pathogen Fusarium oxysporum, exhibiting a complex effect on reproductive growth at inhibitory concentrations resulting in the suppression of spore formation. Pen4-1 exhibits unique features [not previously observed for penaeidins from the Pacific white shrimp (L. vannamei)], including target-species specificity against Gram-positive bacteria, indicating a potential partitioning of antimicrobial function among this family of peptides. The proline-rich domain of penaeidin class 4 alone was an active antimicrobial peptide, having the same target range as the full-length Pen4-1. These findings indicate that the proline-rich domain of penaeidin is sufficient to confer target specificity and that divergence in this domain between classes can result in a gain in antimicrobial function as observed for the proline-rich domain of Pen4-1.

The POPPs: clustering and searching using peptide probability profiles

The POPPs is a suite of inter-related software tools which allow the user to discover what is statistically 'unusual' in the composition of an unknown protein, or to automatically cluster proteins into families based on peptide composition. Finally, the user can search for related proteins based on peptide composition. Statistically based peptide composition provides a view of proteins that is, to some extent, orthogonal to that provided by sequence. In a test study, the POPP suite is able to regroup into their families sets of approximately 100 randomised Pfam protein domains. The POPPs suite is used to explore the diverse set of late embryogenesis abundant (LEA) proteins.

Comparative structural modeling and inference of conserved protein classes in Drosophila seminal fluid

The constituents of seminal fluid are a complex mixture of proteins and other molecules, most of whose functions have yet to be determined and many of which are rapidly evolving. As a step in elucidating the roles of these proteins and exposing potential functional similarities hidden by their rapid evolution, we performed comparative structural modeling on 28 of 52 predicted seminal proteins produced in the Drosophila melanogaster male accessory gland. Each model was characterized by defining residues likely to be important for structure and function. Comparisons of known protein structures with predicted accessory gland proteins (Acps) revealed similarities undetectable by primary sequence alignments. The structures predict that Acps fall into several categories: regulators of proteolysis, lipid modifiers, immunity/protection, sperm-binding proteins, and peptide hormones. The comparative structural modeling approach indicates that major functional classes of mammalian and Drosophila seminal fluid proteins are conserved, despite differences in reproductive strategies. This is particularly striking in the face of the rapid protein sequence evolution that characterizes many reproductive proteins, including Drosophila and mammalian seminal proteins.

The CaPRP1 gene encoding a putative proline-rich glycoprotein is highly expressed in rapidly elongating early roots and leaves in hot pepper (Capsicum annuum L. cv. Pukang)

Most of the proline-rich cell wall glycoprotein genes isolated from higher plants are preferentially expressed in the transmitting tissues of the flower organ. In conducting expressed sequence tag (EST) analysis, which was prepared from 5-day-old early roots of hot pepper (Capsicum annuum L. cv. Pukang), we identified a cDNA clone, pCaPRP1, encoding a putative cell wall proline-rich glycoprotein. CaPRP1 (Mr=28 kDa, pI=9.98) was most closely related to Nicotiana alata NaPRP4 (71%), while most distantly related to soybean PvPRP (37%). The predicted primary structure of CaPRP1 contains a putative N-terminal signal peptide, six repeats of the Lys-Pro-Pro tripeptide, four repeats of a five-amino acid sequence [Pro-(Ser/The)-Pro-Pro-Pro] and one potential N-glycosylation site (Asn-Asn-Ser). In contrast to most proline-rich cell wall glycoprotein genes, CaPRP1 was highly expressed in rapidly elongating very early roots and young leaves as well as developing flower tissues. Although the physiological function of CaPRP1 is not yet clear, there are several possibilities for its role in cell expansion and elongation during early development of hot pepper plants.

Peptide-mediated macrolide resistance reveals possible specific interactions in the nascent peptide exit tunnel

Expression of specific short peptides can render cells resistant to macrolide antibiotics. Peptides conferring resistance to structurally different macrolides including oleandomycin, azithromycin, azaerythromycin, josamycin and a ketolide cethromycin were selected from a random pentapeptide expression library. Analysis of the entire collection of the resistance peptides allowed their classification into five distinct groups according to their sequence similarity and the type of resistance they confer. A strong correlation was observed between the structures of macrolide antibiotics and sequences of the peptides conferring resistance. Such a correlation indicates that sequence-specific interactions between the nascent peptide and the macrolide antibiotic and/or the ribosome can occur in the ribosomal exit tunnel.

Supervised identification of allergen-representative peptides for in silico detection of potentially allergenic proteins

MOTIVATION

Identification of potentially allergenic proteins is needed for the safety assessment of genetically modified foods, certain pharmaceuticals and various other products on the consumer market. Current methods in bioinformatic allergology exploit common features among allergens for the detection of amino acid sequences of potentially allergenic proteins. Features for identification still unexplored include the motifs occurring commonly in allergens, but rarely in ordinary proteins. In this paper, we present an algorithm for the identification of such motifs with the purpose of biocomputational detection of amino acid sequences of potential allergens.

RESULTS

Identification of allergen-representative peptides (ARPs) with low or no occurrence in proteins lacking allergenic properties is the essential component of our new method, designated DASARP (Detection based on Automated Selection of Allergen-Representative Peptide). This approach consistently outperforms the criterion based on identical peptide match for predicting allergenicity recommended by ILSI/IFBC and FAO/WHO and shows results comparable to the alignment-based criterion as outlined by FAO/WHO.

AVAILABILITY

The detection software and the ARP set needed for the analysis of a query protein reported here are properties of the Swedish National Food Agency and are available upon request. The protein sequence sets used in this work are publicly available on http://www.slv.se/templatesSLV/SLV_Page____9343.asp. Allergenicity assessment for specific protein sequences of interest is also possible via ulfh@slv.se

The World ofβ- andγ-Peptides Comprised of Homologated Proteinogenic Amino Acids and Other Components

The origins of our nearly ten-year research program of chemical and biological investigations into peptides based on homologated proteinogenic amino acids are described. The road from the biopolymer poly[ethyl (R)-3-hydroxybutanoate] to the beta-peptides was primarily a step from organic synthesis methodology (the preparation of enantiomerically pure compounds (EPCs)) to supramolecular chemistry (higher-order structures maintained through non-covalent interactions). The performing of biochemical and biological tests on the beta- and gamma-peptides, which differ from natural peptides/proteins by a single or two additional CH(2) groups per amino acid, then led into bioorganic chemistry and medicinal chemistry. The individual chapters of this review article begin with descriptions of work on beta-amino acids, beta-peptides, and polymers (Nylon-3) that dates back to the 1960s, even to the times of Emil Fischer, but did not yield insights into structures or biological properties. The numerous, often highly physiologically active, or even toxic, natural products containing beta- and gamma-amino acid moieties are then presented. Chapters on the preparation of homologated amino acids with proteinogenic side chains, their coupling to provide the corresponding peptides, both in solution (including thioligation) and on the solid phase, their isolation by preparative HPLC, and their characterization by mass spectrometry (HR-MS and MS sequencing) follow. After that, their structures, predominantly determined by NMR spectroscopy in methanolic solution, are described: helices, pleated sheets, and turns, together with stack-, crankshaft-, paddlewheel-, and staircase-like patterns. The presence of the additional C--C bonds in the backbones of the new peptides did not give rise to a chaotic increase in their secondary structures as many protein specialists might have expected: while there are indeed more structure types than are observed in the alpha-peptide realm - three different helices (10/12-, 12-, and 14-helix) if we include oligomers of trans-2-aminocyclopentanecarboxylic acid, for example - the structures are already observable with chains made up of only four components, and, having now undergone a learning process, we are able to construct them by design. The structures of the shorter beta-peptides can also be reliably determined by molecular-dynamics calculations (in solution; GROMOS program package). Unlike in the case of the natural helices, these compounds' folding into secondary structures is not cooperative. In beta- and gamma-peptides, it is possible to introduce heteroatom substituents (such as halogen or OH) onto the backbones or to incorporate heteroatoms (NH, O) directly into the chain, and, thanks to this, it has been possible to study effects unobservable in the world of the alpha-peptides. Tests with proteolytic enzymes of all types (from mammals, microorganisms, yeasts) and in vivo examination (mice, rats, insects, plants) showed beta- and gamma-peptides to be completely stable towards proteolysis and, as demonstrated for two beta-peptides, extraordinarily stable towards metabolism, even when bearing functionalized side chains (such as those of Thr, Tyr, Trp, Lys, or Arg). The beta-peptides so far examined also normally display no or only very weak cytotoxic, antiproliferative, antimicrobial, hemolytic, immunogenic, or inflammatory properties either in cell cultures or in vivo. Even biological degradation by microbial colonies of the types found in sewage-treatment plants or in soil is very slow. That there are indeed interactions of beta- and gamma-peptides with biological systems, however, can be seen in the following findings: i) organ-specific distribution takes place after intravenous (i.v.) administration in rats, ii) transport through the intestines of rodents has been observed, iii) beta-peptides with positively charged side chains (Arg and Lys) settle on cell surfaces, are able to enter into mammalian cells (fibroplasts, keratinocytes, HeLa cells), and migrate into their cell nuclei (and nucleoli), and iv) in one case, it has already been established that a beta-peptide derivative can up- and down-regulate gene expression rates. Besides these less sharply definable interactions, it has also been possible to construct beta- and gamma-peptide agonists of naturally occurring peptide hormones, MHC-binding beta-peptides, or amphipathic beta-peptide inhibitors of membrane-bound proteins in a controlled fashion. Examples include somatostatin mimics and the suppression of cholesterol transport through the intestinal brush-border membrane (by the SR-BI-protein). The results so far obtained from investigations into peptides made up of homologues of the proteinogenic amino acids also represent a contribution to deepening of our knowledge of the natural peptides/proteins, while potential for biomedicinal application of this new class of substances has also been suggested.

Interaction profile-based protein classification of death domain

BACKGROUND

The increasing number of protein sequences and 3D structure obtained from genomic initiatives is leading many of us to focus on proteomics, and to dedicate our experimental and computational efforts on the creation and analysis of information derived from 3D structure. In particular, the high-throughput generation of protein-protein interaction data from a few organisms makes such an approach very important towards understanding the molecular recognition that make-up the entire protein-protein interaction network. Since the generation of sequences, and experimental protein-protein interactions increases faster than the 3D structure determination of protein complexes, there is tremendous interest in developing in silico methods that generate such structure for prediction and classification purposes. In this study we focused on classifying protein family members based on their protein-protein interaction distinctiveness. Structure-based classification of protein-protein interfaces has been described initially by Ponstingl et al. 1 and more recently by Valdar et al. 2 and Mintseris et al. 3, from complex structures that have been solved experimentally. However, little has been done on protein classification based on the prediction of protein-protein complexes obtained from homology modeling and docking simulation.

RESULTS

We have developed an in silico classification system entitled HODOCO (Homology modeling, Docking and Classification Oracle), in which protein Residue Potential Interaction Profiles (RPIPS) are used to summarize protein-protein interaction characteristics. This system applied to a dataset of 64 proteins of the death domain superfamily was used to classify each member into its proper subfamily. Two classification methods were attempted, heuristic and support vector machine learning. Both methods were tested with a 5-fold cross-validation. The heuristic approach yielded a 61% average accuracy, while the machine learning approach yielded an 89% average accuracy.

CONCLUSION

We have confirmed the reliability and potential value of classifying proteins via their predicted interactions. Our results are in the same range of accuracy as other studies that classify protein-protein interactions from 3D complex structure obtained experimentally. While our classification scheme does not take directly into account sequence information our results are in agreement with functional and sequence based classification of death domain family members.

SILVER helps assign peptides to tandem mass spectra using intensity-based scoring

Tandem mass spectrometry is commonly used to identify peptides (and thereby proteins) that are present in complex mixtures. Peptide identification from tandem mass spectra is partially automated, but still requires human curation to resolve "borderline" peptide-spectrum matches (PSMs). SILVER is web-based software that assists manual curation of tandem mass spectra, using a recently developed intensity-based machine-learning approach to scoring PSMs, Elias et al. In this method, a large training set of peptide, fragment, and peak-intensity properties for both matched and mismatched PSMs was used to develop a score measuring consistency between each predicted fragment ion of a candidate peptide and its corresponding observed spectral peak intensity. The SILVER interface provides a visual representation of match quality between each candidate fragment ion and the observed spectrum, thereby expediting manual curation of tandem mass spectra. SILVER is available online at http://llama.med.harvard.edu/Software.html.