Current Protein and Peptide Science - Volume 4, Issue 3, 2003
Volume 4, Issue 3, 2003
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Computational Analyses of High-Throughput Protein-Protein Interaction Data
More LessProtein-protein interactions play important roles in nearly all events that take place in a cell. High-throughput experimental techniques enable the study of protein-protein interactions at the proteome scale through systematic identification of physical interactions among all proteins in an organism. High-throughput protein-protein interaction data, with ever-increasing volume, are becoming the foundation for new biological discoveries. A great challenge to bioinformatics is to manage, analyze, and model these data. In this review, we describe several databases that store, query, and visualize protein-protein interaction data. Comparison between experimental techniques shows that each highthroughput technique such as yeast two-hybrid assay or protein complex identification through mass spectrometry has its limitations in detecting certain types of interactions and they are complementary to each other. In silico methods using protein / DNA sequences, domain and structure information to predict protein-protein interaction can expand the scope of experimental data and increase the confidence of certain protein-protein interaction pairs. Protein-protein interaction data correlate with other types of data, including protein function, subcellular location, and gene expression profile. Highly connected proteins are more likely to be essential based on the analyses of the global architecture of large-scale interaction network in yeast. Use of protein-protein interaction networks, preferably in conjunction with other types of data, allows assignment of cellular functions to novel proteins and derivation of new biological pathways. As demonstrated in our study on the yeast signal transduction pathway for amino acid transport, integration of high-throughput data with traditional biology resources can transform the protein-protein interaction data from noisy information into knowledge of cellular mechanisms.
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Nano-Mechanical Methods in Biochemistry using Atomic Force Microscopy
Authors: A. Ikai, R. Afrin, H. Sekiguchi, T. Okajima, M.T. Alam and S. NishidaThe atomic force microscope has been extensively used not only to image nanometer-sized biological samples but also to measure their mechanical properties by using the force curve mode of the instrument. When the analysis based on the Hertz model of indentation is applied to the approach part of the force curve, one obtains information on the stiffness of the sample in terms of Young's modulus. Mapping of local stiffness over a single living cell is possible by this method. The retraction part of the force curve provides information on the adhesive interaction between the sample and the AFM tip. It is possible to functionalize the AFM tip with specific ligands so that one can target the adhesive interaction to specific pairs of ligands and receptors. The presence of specific receptors on the living cell surface has been mapped by this method. The force to break the co-operative 3D structure of globular proteins or to separate a double stranded DNA into single strands has been measured. Extension of the method for harvesting functional molecules from the cytosol or the cell surface for biochemical analysis has been reported. There is a need for the development of biochemical nano-analysis based on AFM technology.
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OB-fold: Growing Bigger with Functional Consistency
Authors: V. Agrawal and K.V. KishanIt was predicted that the folding space for various protein sequences is restricted and a maximum of 1000 protein folds could be expected. Although, there were about 648 folds identified, general functional features of individual folds is not thoroughly studied. We selected OB-fold, which is supposed to be an oligonucleotide and oligosaccharide binding fold to study the general functional features. OB-fold is a small β-barrel fold formed from 5 strands connected by modulating loops. We observed consistently 2 or 3 loops on the same face of barrel acting as clamps to bind to their ligands. Depending on the ligand, which could be a single or double stranded DNA / RNA or an oligosaccharide, and their conformational properties the loops change in length and sequence to accommodate various ligands. Different classes of OB-folded proteins were analyzed and found that the functional features are retained in spite of negligible sequence homology among various proteins studied.
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C-Phycocyanin: A Biliprotein with Antioxidant, Anti-Inflammatory and Neuroprotective Effects
Authors: C. Romay, R. Gonzalez, N. Ledon, D. Remirez and V. RimbauPhycocyanin (Pc) is a phycobiliprotein that has been recently reported to exhibit a variety of pharmacological properties. In this regard, antioxidant, anti-inflammatory, neuroprotective and hepatoprotective effects have been experimentally attributed to Pc. When it was evaluated as an antioxidant in vitro, it was able to scavenge alkoxyl, hydroxyl and peroxyl radicals and to react with peroxinitrite (ONOO-) and hypochlorous acid (HOCl). Pc also inhibits microsomal lipid peroxidation induced by Fe+2-ascorbic acid or the free radical initiator 2,2' azobis (2-amidinopropane) hydrochloride (AAPH). Furthermore, it reduces carbon tetrachloride (CCl4)-induced lipid peroxidation in vivo. Pc has been evaluated in twelve experimental models of inflammation and exerted anti-inflammatory effects in a dose-dependent fashion in all of these. Thus, Pc reduced edema, histamine (Hi) release, myeloperoxidase (MPO) activity and the levels of prostaglandin (PGE2) and leukotriene (LTB4) in the inflamed tissues. These antiinflammatory effects of Pc can be due to its scavenging properties toward oxygen reactive species (ROS) and its inhibitory effects on cyclooxygenase 2 (COX-2) activity and on Hi release from mast cells. Pc also reduced the levels of tumor necrosis factor (TNF-α) in the blood serum of mice treated with endotoxin and it showed neuroprotective effects in rat cerebellar granule cell cultures and in kainate-induced brain injury in rats.
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The Biotin Enzyme Family: Conserved Structural Motifs and Domain Rearrangements
Authors: S. Jitrapakdee and J.C. WallaceThe biotin carboxylase family is comprised of a group of enzymes that utilize a covalently bound prosthetic group, biotin, as a cofactor. These enzymes, which include acetyl-CoA carboxylase, pyruvate carboxylase, propionyl-CoA carboxylase, methylcrotonyl-CoA carboxylase, geranoyl-CoA carboxylase, oxaloacetate decarboxylase, methylmalonyl-CoA decarboxylase, transcarboxylase and urea amidolyase, are found in diverse biosynthetic pathways in both prokaryotes and eukaryotes. The reactions catalyzed by most members of this group of enzymes share two common features: (1) carboxylation of biotin, apparently via the formation of a carboxyphosphate intermediate, followed by (2) transcarboxylation of CO2 from biotin to specific acceptor molecules to yield different products. Structural determinations by NMR and X-ray crystallography, complemented by mutagenesis studies, have identified some motifs that are structurally or catalytically important. Analysis of the amino acid sequences of a number of biotin carboxylases not only shows remarkable similarities within certain domains but also that there appears to have been domain rearrangements between groups of carboxylases. Acyl-coenzyme A derivatives, which bind either as substrates or as allosteric regulators of the biotin carboxylases, do not appear to share any of the CoA binding motifs that have been identified in other CoA-SH / acyl-CoA binding proteins. Further comparisons of biotin-dependent carboxylases with other groups of enzymes in the protein data bank reveal that this family of biotin enzymes has strong similarities in specific domains to a number of ATP-utilizing enzymes and to the lipoyl-containing enzymes. These structural homologies are so extensive as to be highly suggestive of evolutionary relationships between biotin carboxylases and these other enzymes.
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The Bovine Basic Pancreatic Trypsin Inhibitor (Kunitz Inhibitor): A Milestone Protein
Authors: P. Ascenzi, A. Bocedi, M. Bolognesi, A. Spallarossa, M. Coletta, R. Cristofaro and E. MenegattiThe pancreatic Kunitz inhibitor, also known as aprotinin, bovine basic pancreatic trypsin inhibitor (BPTI), and trypsin-kallikrein inhibitor, is one of the most extensively studied globular proteins. It has proved to be a particularly attractive and powerful tool for studying protein conformation as well as molecular bases of protein / protein interaction(s) and (macro)molecular recognition. BPTI has a relatively broad specificity, inhibiting trypsin- as well as chymotrypsinand elastase-like serine (pro)enzymes endowed with very different primary specificity. BPTI reacts rapidly with serine proteases to form stable complexes, but the enzyme:inhibitor complex formation may involve several intermediates corresponding to discrete reaction steps. Moreover, BPTI inhibits the nitric oxide synthase type-I and -II action and impairs K+ transport by Ca2+-activated K+ channels. Clinically, the use of BPTI in selected surgical interventions, such as cardiopulmonary surgery and orthotopic liver transplantation, is advised, as it significantly reduces hemorrhagic complications and thus blood-transfusion requirements. Here, the structural, inhibition, and bio-medical aspects of BPTI are reported.
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Volumes & issues
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Volume 26 (2025)
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Volume (2025)
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Volume 25 (2024)
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Volume 24 (2023)
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Volume 23 (2022)
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Volume 22 (2021)
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Volume 21 (2020)
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Volume 20 (2019)
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Volume 19 (2018)
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Volume 18 (2017)
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Volume 17 (2016)
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Volume 16 (2015)
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Volume 15 (2014)
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Volume 14 (2013)
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Volume 13 (2012)
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Volume 12 (2011)
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Volume 11 (2010)
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Volume 10 (2009)
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Volume 9 (2008)
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Volume 8 (2007)
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Volume 7 (2006)
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Volume 6 (2005)
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Volume 5 (2004)
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Volume 4 (2003)
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Volume 3 (2002)
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Volume 2 (2001)
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Volume 1 (2000)
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