Results for 'protein‐protein interactions'

990 found
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  1.  17
    Protein-protein interactions: Making sense of networks via graph-theoretic modeling.Nataša Pržulj - 2011 - Bioessays 33 (2):115-123.
    The emerging area of network biology is seeking to provide insights into organizational principles of life. However, despite significant collaborative efforts, there is still typically a weak link between biological and computational scientists and a lack of understanding of the research issues across the disciplines. This results in the use of simple computational techniques of limited potential that are incapable of explaining these complex data. Hence, the danger is that the community might begin to view the topological properties of network (...)
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  2.  17
    Analyzing protein–protein interactions in cell membranes.Anja Nohe & Nils O. Petersen - 2004 - Bioessays 26 (2):196-203.
    Interactions among membrane proteins regulate numerous cellular processes, including cell growth, cell differentiation and apoptosis. We need to understand which proteins interact, where they interact and to which extent they interact. This article describes a set of novel approaches to measure, on the surface of living cells, the number of clusters of proteins, the number of proteins per cluster, the number of clusters or membrane domains that contain pairs of interacting proteins and the fraction of one protein species that (...)
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  3.  49
    Fluorescent proteins for FRET microscopy: Monitoring protein interactions in living cells.Richard N. Day & Michael W. Davidson - 2012 - Bioessays 34 (5):341-350.
    The discovery and engineering of novel fluorescent proteins (FPs) from diverse organisms is yielding fluorophores with exceptional characteristics for live‐cell imaging. In particular, the development of FPs for fluorescence (or Förster) resonance energy transfer (FRET) microscopy is providing important tools for monitoring dynamic protein interactions inside living cells. The increased interest in FRET microscopy has driven the development of many different methods to measure FRET. However, the interpretation of FRET measurements is complicated by several factors including the high fluorescence (...)
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  4.  15
    Genetics’ Piece of the PI: Inferring the Origin of Complex Traits and Diseases from Proteome‐Wide Protein–Protein Interaction Dynamics.Louis Gauthier, Bram Stynen, Adrian W. R. Serohijos & Stephen W. Michnick - 2020 - Bioessays 42 (2):1900169.
    How do common and rare genetic polymorphisms contribute to quantitative traits or disease risk and progression? Multiple human traits have been extensively characterized at the genomic level, revealing their complex genetic architecture. However, it is difficult to resolve the mechanisms by which specific variants contribute to a phenotype. Recently, analyses of variant effects on molecular traits have uncovered intermediate mechanisms that link sequence variation to phenotypic changes. Yet, these methods only capture a fraction of genetic contributions to phenotype. Here, in (...)
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  5.  18
    RNA‐protein interactions: Central players in coordination of regulatory networks.Alexandros Armaos, Elsa Zacco, Natalia Sanchez de Groot & Gian Gaetano Tartaglia - 2021 - Bioessays 43 (2):2000118.
    Changes in the abundance of protein and RNA molecules can impair the formation of complexes in the cell leading to toxicity and death. Here we exploit the information contained in protein, RNA and DNA interaction networks to provide a comprehensive view of the regulation layers controlling the concentration‐dependent formation of assemblies in the cell. We present the emerging concept that RNAs can act as scaffolds to promote the formation ribonucleoprotein complexes and coordinate the post‐transcriptional layer of gene regulation. We describe (...)
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  6.  5
    The tetratricopeptide repeat: a structural motif mediating protein‐protein interactions.Gregory L. Blatch & Michael Lässle - 1999 - Bioessays 21 (11):932-939.
    The tetratricopeptide repeat (TPR) motif is a protein-protein interaction module found in multiple copies in a number of functionally different proteins that facilitates specific interactions with a partner protein(s). Three-dimensional structural data have shown that a TPR motif contains two antiparallel α-helices such that tandem arrays of TPR motifs generate a right-handed helical structure with an amphipathic channel that might accommodate the complementary region of a target protein. Most TPR-containing proteins are associated with multiprotein complexes, and there is extensive (...)
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  7.  4
    The tetratricopeptide repeat: a structural motif mediating protein-protein interactions.Gregory L. Blatch & Michael Lässle - 1999 - Bioessays 21 (11):932-939.
    The tetratricopeptide repeat (TPR) motif is a protein-protein interaction module found in multiple copies in a number of functionally different proteins that facilitates specific interactions with a partner protein(s). Three-dimensional structural data have shown that a TPR motif contains two antiparallel α-helices such that tandem arrays of TPR motifs generate a right-handed helical structure with an amphipathic channel that might accommodate the complementary region of a target protein. Most TPR-containing proteins are associated with multiprotein complexes, and there is extensive (...)
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  8.  7
    BTB domains: A structural view of evolution, multimerization, and protein–protein interactions.Artem Bonchuk, Konstantin Balagurov & Pavel Georgiev - 2023 - Bioessays 45 (2):2200179.
    Broad‐complex, Tramtrack, and Bric‐à‐brac/poxvirus and zinc finger (BTB/POZ) is a conserved domain found in many eukaryotic proteins with diverse cellular functions. Recent studies revealed its importance in multiple developmental processes as well as in the onset and progression of oncological diseases. Most BTB domains can form multimers and selectively interact with non‐BTB proteins. Structural studies of BTB domains delineated the presence of different interfaces involved in various interactions mediated by BTBs and provided a basis for the specific inhibition of (...)
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  9.  16
    Protein‐interaction mapping in search of effective drug targets.Amitabha Chaudhuri & John Chant - 2005 - Bioessays 27 (9):958-969.
    Signaling complexes and networks are being intensely studied in an attempt to discover pathways that are amenable to therapeutic intervention. A challenge in this search is to understand the effect that the modulation of a target will have on the overall function of a cell and its surrounding neighbors. Protein‐interaction mapping reveals relationships between proteins and their impact on cellular processes and is being used more widely in our understanding of disease mechanisms and their treatment. The review discusses challenges and (...)
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  10.  39
    A hybrid rule-induction/likelihood-ratio based approach for predicting protein-protein interactions.Mudassar Iqbal, Alex A. Freitas & Colin G. Johnson - 2009 - In L. Magnani (ed.), Computational Intelligence. pp. 623--637.
    We propose a new hybrid data mining method for predicting protein-protein interactions combining Likelihood-Ratio with rule induction algorithms. In essence, the new method consists of using a rule induction algorithm to discover rules representing partitions of the data, and then the discovered rules are interpreted as “bins” which are used to compute likelihood ratios. This new method is applied to the prediction of protein-protein interactions in the Saccharomyces Cerevisiae genome, using predictive genomic features in an integrated scheme. The (...)
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  11.  12
    Mechanism of gene expression by the glucocorticoid receptor: Role of protein‐protein interactions.Iain J. McEwan, Anthony P. H. Wright & Jan-Åke Gustafsson - 1997 - Bioessays 19 (2):153-160.
    The glucocorticoid receptor belongs to an important class of transcription factors that alter the expression of target genes in response to a specific hormone signal. The glucocorticoid receptor can function at least at three levels: (1) recruitment of the general transcription machinery; (2) modulation of transcription factor action, independent of DNA binding, through direct protein‐protein interactions; and (3) modulation of chromatin structure to allow the assembly of other gene regulatory proteins and/or the general transcription machinery on the DNA. (...)
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  12.  12
    Glycosaminoglycan-protein interactions: definition of consensus sites in glycosaminoglycan binding proteins.Ronald E. Hileman, Jonathan R. Fromm, John M. Weiler & Robert J. Linhardt - 1998 - Bioessays 20 (2):156-167.
    Although interactions of proteins with glycosaminoglycans (GAGs), such as heparin and heparan sulphate, are of great biological importance, structural requirements for protein‐GAG binding have not been well‐characterised. Ionic interactions are important in promoting protein‐GAG binding. Polyelectrolyte theory suggests that much of the free energy of binding comes from entropically favourable release of cations from GAG chains. Despite their identical charges, arginine residues bind more tightly to GAGs than lysine residues. The spacing of these residues may determine protein‐GAG affinity (...)
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  13.  22
    Born to bind: the BTB protein–protein interaction domain.Roberto Perez-Torrado, Daisuke Yamada & Pierre-Antoine Defossez - 2006 - Bioessays 28 (12):1194-1202.
    The BTB domain is a protein–protein interaction motif that is found throughout eukaryotes. It determines a unique tri‐dimensional fold with a large interaction surface. The exposed residues are highly variable and can permit dimerization and oligomerization, as well as interaction with a number of other proteins. BTB‐containing proteins are numerous and control cellular processes that range from actin dynamics to cell‐cycle regulation. Here, we review findings in the field of transcriptional regulation to illustrate how the high variability of the BTB (...)
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  14.  12
    PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm.Naeem Shirmohammady, Habib Izadkhah & Ayaz Isazadeh - 2021 - Complexity 2021:1-14.
    Comprehensive analysis of proteins to evaluate their genetic diversity, study their differences, and respond to the tensions is the main subject of an interdisciplinary field of study called proteomics. The main objective of the proteomics is to detect and quantify proteins and study their post-translational modifications and interactions using protein chemistry, bioinformatics, and biology. Any disturbance in proteins interactive network can act as a source for biological disorders and various diseases such as Alzheimer and cancer. Most current computational methods (...)
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  15.  12
    The trick of the tail: protein–protein interactions of metabotropic glutamate receptors.Ralf Enz - 2007 - Bioessays 29 (1):60-73.
    It was initially believed that G‐protein‐coupled receptors, such as metabotropic glutamate receptors, could simply be described as individual proteins that are associated with intracellular signal cascades via G‐proteins. This view is no longer tenable. Today we know that metabotropic glutamate receptors (mGluRs) can dimerize and bind to a variety of proteins in addition to trimeric G‐proteins. These newly identified protein interactions led to the discovery of new regulatory mechanisms that are independent of and sometimes synergistic with the classical G‐protein‐coupled (...)
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  16.  28
    Glycosaminoglycan‐protein interactions: definition of consensus sites in glycosaminoglycan binding proteins.Ronald E. Hileman, Jonathan R. Fromm, John M. Weiler & Robert J. Linhardt - 1998 - Bioessays 20 (2):156-167.
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  17. Second International Workshop on Bioinformatics Research and Applications (IWBRA06)-Extracting Protein-Protein Interactions from the Literature Using the Hidden Vector State Model.Deyu Zhou, Yulan He & Chee Keong Kwoh - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 718-725.
     
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  18.  25
    Predicting Protein Interactions Using a Deep Learning Method-Stacked Sparse Autoencoder Combined with a Probabilistic Classification Vector Machine.Yanbin Wang, Zhuhong You, Liping Li, Li Cheng, Xi Zhou, Libo Zhang, Xiao Li & Tonghai Jiang - 2018 - Complexity 2018:1-12.
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  19.  24
    Computational modelling of protein interactions: Energy minimization for the refinement and scoring of association decoys.Alexander Dibrov, Yvonne Myal & Etienne Leygue - 2009 - Acta Biotheoretica 57 (4):419-428.
    The prediction of protein–protein interactions based on independently obtained structural information for each interacting partner remains an important challenge in computational chemistry. Procedures where hypothetical interaction models (or decoys) are generated, then ranked using a biochemically relevant scoring function have been garnering interest as an avenue for addressing such challenges. The program PatchDock has been shown to produce reasonable decoys for modeling the association between pig alpha-amylase and the VH-domains of camelide antibody raised against it. We designed a biochemically (...)
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  20.  17
    Translational regulation by mRNA/protein interactions in eukaryotic cells: Ferritin and beyond.Öjar Melefors & Matthias W. Hentze - 1993 - Bioessays 15 (2):85-90.
    The expression of certain eukaryotic genes is – at least in part – controlled at the level of mRNA translation. The step of translational initiation represents the primary target for regulation. The regulation of the intracellular iron storage protein ferritin in response to iron levels provides a good example of translational control by a reversible RNA/protein interaction in the 5' untranslated region of an mRNA. We consider mechanisms by which mRNA/protein interactions may impede translation initiation and discuss recent data (...)
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  21.  18
    Promiscuity in protein‐RNA interactions: Conformational ensembles facilitate molecular recognition in the spliceosome.David D. Boehr - 2012 - Bioessays 34 (3):174-180.
    Here I discuss findings that suggest a universal mechanism for proteins (and RNA) to recognize and interact with various binding partners by selectively binding to different conformations that pre‐exist in the free protein's conformational ensemble. The tandem RNA recognition motif domains of splicing factor U2AF65 fluctuate in solution between a predominately closed conformation in which the RNA binding site of one of the domains is blocked, and a lowly populated open conformation in which both RNA binding pockets are accessible. RNA (...)
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  22.  25
    Impact of RNA–Protein Interaction Modes on Translation Control: The Versatile Multidomain Protein Gemin5.Rosario Francisco-Velilla, Embarc-Buh Azman & Encarnacion Martinez-Salas - 2019 - Bioessays 41 (4):1800241.
    The fate of cellular RNAs is largely dependent on their structural conformation, which determines the assembly of ribonucleoprotein (RNP) complexes. Consequently, RNA‐binding proteins (RBPs) play a pivotal role in the lifespan of RNAs. The advent of highly sensitive in cellulo approaches for studying RNPs reveals the presence of unprecedented RNA‐binding domains (RBDs). Likewise, the diversity of the RNA targets associated with a given RBP increases the code of RNA–protein interactions. Increasing evidence highlights the biological relevance of RNA conformation for (...)
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  23. Model for DNA and Protein Interactions and the Function of the Operator.Alfred Gierer - 1966 - Nature 212:1480-1481.
    The short paper introduces the concept of possible branches of double-stranded DNA (later sometimes called palindromes): Certain sequences of nucleotides may be followed, after a short unpaired stretch, by a complementary sequence in reversed order, such that each DNA strand can fold back on itself, and the DNA assumes a cruciform or tree-like structure. This is postulated to interact with regulatory proteins. -/- .
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  24.  21
    Hox functional diversity: Novel insights from flexible motif folding and plastic protein interaction.Miguel Ortiz-Lombardia, Nicolas Foos, Corinne Maurel-Zaffran, Andrew J. Saurin & Yacine Graba - 2017 - Bioessays 39 (4):1600246.
    How the formidable diversity of forms emerges from developmental and evolutionary processes is one of the most fascinating questions in biology. The homeodomain‐containing Hox proteins were recognized early on as major actors in diversifying animal body plans. The molecular mechanisms underlying how this transcription factor family controls a large array of context‐ and cell‐specific biological functions is, however, still poorly understood. Clues to functional diversity have emerged from studies exploring how Hox protein activity is controlled through interactions with PBC (...)
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  25.  34
    Functional characterization of three single-nucleotide polymorphisms present in the human APOE promoter sequence: Differential effects in neuronal cells and on DNA-protein interactions.B. Maloney, Y. W. Ge, R. C. Petersen, J. Hardy, J. T. Rogers, J. Perez-Tur & D. K. Lahiri - 2010 - Am J Med Genet B Neuropsychiatr Genet 153:185-201.
    Variations in levels of apolipoprotein E have been tied to the risk and progression of Alzheimer's disease . Our group has previously compared and contrasted the promoters of the mouse and human ApoE gene promoter sequences and found notable similarities and significant differences that suggest the importance of the APOE promoter's role in the human disease. We examine here three specific single-nucleotide polymorphisms within the human APOE promoter region, specifically at -491 , -427 , and at -219 upstream from the (...)
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  26.  17
    PuF, an antimetastatic and developmental signaling protein, interacts with the Alzheimer's amyloid-beta precursor protein via a tissue-specific proximal regulatory element.D. K. Lahiri, B. Maloney, J. T. Rogers & Y. W. Ge - 2013 - Bmc Genomics 14:68.
    BACKGROUND: Alzheimer's disease is intimately tied to amyloid-beta peptide. Extraneuronal brain plaques consisting primarily of Abeta aggregates are a hallmark of AD. Intraneuronal Abeta subunits are strongly implicated in disease progression. Protein sequence mutations of the Abeta precursor protein account for a small proportion of AD cases, suggesting that regulation of the associated gene may play a more important role in AD etiology. The APP promoter possesses a novel 30 nucleotide sequence, or "proximal regulatory element" , at -76/-47, from the (...)
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  27.  6
    Neuropsychiatric Symptoms of COVID-19 Explained by SARS-CoV-2 Proteins’ Mimicry of Human Protein Interactions.Hale Yapici-Eser, Yunus Emre Koroglu, Ozgur Oztop-Cakmak, Ozlem Keskin, Attila Gursoy & Yasemin Gursoy-Ozdemir - 2021 - Frontiers in Human Neuroscience 15.
    The first clinical symptoms focused on the presentation of coronavirus disease 2019 have been respiratory failure, however, accumulating evidence also points to its presentation with neuropsychiatric symptoms, the exact mechanisms of which are not well known. By using a computational methodology, we aimed to explain the molecular paths of COVID-19 associated neuropsychiatric symptoms, based on the mimicry of the human protein interactions with SARS-CoV-2 proteins.Methods: Available 11 of the 29 SARS-CoV-2 proteins’ structures have been extracted from Protein Data Bank. (...)
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  28.  6
    On transition metal ions and protein interactions in chromatin.Raul A. Saavedra - 1988 - Bioessays 8 (1):32-34.
    Metal ions may play an essential role in chromatin organization and, thus, be main actors in the gene expression drama. A model is proposed here for the interaction of DNA‐binding transcriptional regulatory proteins with histone H3 via coordinated metal ions and discussed in relation to the conversion of nucleosomal ‘closed’ to ‘open’ states.
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  29.  20
    In vivo footprinting: Studies of protein–DNA interactions in gene regulation.Peter E. Nielsen - 1989 - Bioessays 11 (5):152-155.
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  30. Real-World Applications of Evolutionary Computation Techniques-Clustering Protein Interaction Data Through Chaotic Genetic Algorithm.Hongbiao Liu & Juan Liu - 2006 - In O. Stock & M. Schaerf (eds.), Lecture Notes in Computer Science. Springer Verlag. pp. 4247--858.
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  31.  3
    Investigating protein–protein interfaces in bacterial transcription complexes: a fragmentation approach.Patricia C. Burrows - 2003 - Bioessays 25 (12):1150-1153.
    Transcription initiation by σ54–RNA polymerase (RNAP) relies explicitly on a transient interaction with a complex molecular machine belonging to the AAA+ (ATPases associated with various cellular activities) superfamily. Members of the AAA+ superfamily convert chemical energy derived from NTP hydrolysis to a mechanical force used to remodel their target substrate. Recently Bordes and colleagues,1 using a protein fragmentation approach, identified a unique sequence within σ54‐dependent transcriptional activators that constitutes a σ54‐binding interface. This interface is not static, but subject to nucleotide‐dependent (...)
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  32.  26
    Interaction of rhodopsin with the G‐protein, transducin.Paul A. Hargrave, Heidi E. Hamm & K. P. Hofmann - 1993 - Bioessays 15 (1):43-50.
    Rhodopsin, upon activation by light, transduces the photon signal by activation of the G‐protein, transducin. The well‐studied rhodopsin/transducin system serves as a model for the understanding of signal transduction by the large class of G‐protein‐coupled receptors. The interactive form of rhodopsin, R*, is conformationally similar or identical to rhodopsin's photolysis intermediate Metarhodopsin II (MII). Formation of MII requires deprotonation of rhodopsin's protonated Schiff base which appears to facilitate some opening of the rhodopsin structure. This allows a change in conformation at (...)
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  33.  10
    Driving Protein Conformational Cycles in Physiology and Disease: “Frustrated” Amino Acid Interaction Networks Define Dynamic Energy Landscapes.Rebecca N. D'Amico, Alec M. Murray & David D. Boehr - 2020 - Bioessays 42 (9):2000092.
    A general framework by which dynamic interactions within a protein will promote the necessary series of structural changes, or “conformational cycle,” required for function is proposed. It is suggested that the free‐energy landscape of a protein is biased toward this conformational cycle. Fluctuations into higher energy, although thermally accessible, conformations drive the conformational cycle forward. The amino acid interaction network is defined as those intraprotein interactions that contribute most to the free‐energy landscape. Some network connections are consistent in (...)
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  34.  33
    Aggregation of polyQ‐extended proteins is promoted by interaction with their natural coiled‐coil partners.Spyros Petrakis, Martin H. Schaefer, Erich E. Wanker & Miguel A. Andrade-Navarro - 2013 - Bioessays 35 (6):503-507.
    Polyglutamine (polyQ) diseases are genetically inherited neurodegenerative disorders. They are caused by mutations that result in polyQ expansions of particular proteins. Mutant proteins form intranuclear aggregates, induce cytotoxicity and cause neuronal cell death. Protein interaction data suggest that polyQ regions modulate interactions between coiled‐coil (CC) domains. In the case of the polyQ disease spinocerebellar ataxia type‐1 (SCA1), interacting proteins with CC domains further enhance aggregation and toxicity of mutant ataxin‐1 (ATXN1). Here, we suggest that CC partners interacting with the (...)
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  35.  8
    JNK‐interacting protein 4 is a central molecule for lysosomal retrograde trafficking.Yukiko Sasazawa, Nobutaka Hattori & Shinji Saiki - 2023 - Bioessays 45 (11):2300052.
    Lysosomal positioning is an important factor in regulating cellular responses, including autophagy. Because proteins encoded by disease‐responsible genes are involved in lysosomal trafficking, proper intracellular lysosomal trafficking is thought to be essential for cellular homeostasis. In the past few years, the mechanisms of lysosomal trafficking have been elucidated with a focus on adapter proteins linking motor proteins to lysosomes. Here, we outline recent findings on the mechanisms of lysosomal trafficking by focusing on adapter protein c‐Jun NH2‐terminal kinase‐interacting protein (JIP) 4, (...)
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  36.  31
    Protein partners of KCTD proteins provide insights about their functional roles in cell differentiation and vertebrate development.Mikhail Skoblov, Andrey Marakhonov, Ekaterina Marakasova, Anna Guskova, Vikas Chandhoke, Aybike Birerdinc & Ancha Baranova - 2013 - Bioessays 35 (7):586-596.
    The KCTD family includes tetramerization (T1) domain containing proteins with diverse biological effects. We identified a novel member of the KCTD family, BTBD10. A comprehensive analysis of protein‐protein interactions (PPIs) allowed us to put forth a number of testable hypotheses concerning the biological functions for individual KCTD proteins. In particular, we predict that KCTD20 participates in the AKT‐mTOR‐p70 S6k signaling cascade, KCTD5 plays a role in cytokinesis in a NEK6 and ch‐TOG‐dependent manner, KCTD10 regulates the RhoA/RhoB pathway. Developmental (...)
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  37.  11
    The interactions of transcription factors and their adaptors, coactivators and accessory proteins.Katherine J. Martin - 1991 - Bioessays 13 (10):499-503.
    Consistent with the complexity of the temporally regulated processes that must occur for growth and development of higher eukaryotes, it is now apparent that transcription is regulated by the formation of multi‐component complexes that assemble on the promoters of genes. These complexes can include (in addition to the five or more general transcription factors and RNA polymerase II) DNA‐binding proteins, transcriptional activators, coactivators, adaptors and various accessory proteins. The best studied example of a complex that includes a transcriptional adaptor, accessory (...)
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  38.  18
    Close encounters of the third kind: disordered domains and the interactions of proteins.Peter Tompa, Monika Fuxreiter, Christopher J. Oldfield, Istvan Simon, A. Keith Dunker & Vladimir N. Uversky - 2009 - Bioessays 31 (3):328-335.
    Protein–protein interactions are thought to be mediated by domains, which are autonomous folding units of proteins. Recently, a second type of interaction has been suggested, mediated by short segments termed linear motifs, which are related to recognition elements of intrinsically disordered regions. Here, we propose a third kind of protein–protein recognition mechanism, mediated by disordered regions longer than 20–30 residues. Bioinformatics predictions and well‐characterized examples, such as the kinase‐inhibitory domain of Cdk inhibitors and the Wiskott–Aldrich syndrome protein (WASP)‐homology domain (...)
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  39.  49
    Close encounters of the third kind: disordered domains and the interactions of proteins.Peter Tompa, Monika Fuxreiter, Christopher J. Oldfield, Istvan Simon, A. Keith Dunker & Vladimir N. Uversky - 2009 - Bioessays 31 (3):328-335.
    Protein–protein interactions are thought to be mediated by domains, which are autonomous folding units of proteins. Recently, a second type of interaction has been suggested, mediated by short segments termed linear motifs, which are related to recognition elements of intrinsically disordered regions. Here, we propose a third kind of protein–protein recognition mechanism, mediated by disordered regions longer than 20–30 residues. Bioinformatics predictions and well‐characterized examples, such as the kinase‐inhibitory domain of Cdk inhibitors and the Wiskott–Aldrich syndrome protein (WASP)‐homology domain (...)
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  40.  13
    The cytoskeleton and motor proteins of human schistosomes and their roles in surface maintenance and host–parasite interactions.Malcolm K. Jones, Geoffrey N. Gobert, Lihua Zhang, Philip Sunderland & Donald P. McManus - 2004 - Bioessays 26 (7):752-765.
    Schistosomes are parasitic blood flukes, responsible for significant human disease in tropical and developing nations. Here we review information on the organization of the cytoskeleton and associated motor proteins of schistosomes, with particular reference to the organization of the syncytial tegument, a unique cellular adaptation of these and other neodermatan flatworms. Extensive EST databases show that the molecular constituents of the cytoskeleton and associated molecular systems are likely to be similar to those of other eukaryotes, although there are potentially some (...)
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  41.  8
    Conformation changes and protein folding induced by φ4 interaction.M. Januar, A. Sulaiman & L. T. Handoko - 2010 - In Harald Fritzsch & K. K. Phua (eds.), Proceedings of the Conference in Honour of Murray Gell-Mann's 80th Birthday. World Scientific. pp. 472.
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  42.  15
    Sperm-egg interaction: is there a link between tetraspanin(s) and GPI-anchored protein(s)?Brigitte Lefèvre, Jean-Philippe Wolf & Ahmed Ziyyat - 2010 - Bioessays 32 (2):143-152.
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  43.  14
    Quinary protein structure and the consequences of crowding in living cells: Leaving the test‐tube behind.Anna Jean Wirth & Martin Gruebele - 2013 - Bioessays 35 (11):984-993.
    Although the importance of weak protein‐protein interactions has been understood since the 1980s, scant attention has been paid to this “quinary structure”. The transient nature of quinary structure facilitates dynamic sub‐cellular organization through loose grouping of proteins with multiple binding partners. Despite our growing appreciation of the quinary structure paradigm in cell biology, we do not yet understand how the many forces inside the cell – the excluded volume effect, the “stickiness” of the cytoplasm, and hydrodynamic interactions (...)
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  44.  6
    The seesaw between normal function and protein aggregation: How functional interactions may increase protein solubility.Piero Andrea Temussi, Gian Gaetano Tartaglia & Annalisa Pastore - 2021 - Bioessays 43 (6):2100031.
    Protein aggregation has been studied for at least 3 decades, and many of the principles that regulate this event are relatively well understood. Here, however, we present a different perspective to explain why proteins aggregate: we argue that aggregation may occur as a side‐effect of the lack of one or more natural partners that, under physiologic conditions, would act as chaperones. This would explain why the same surfaces that have evolved for functional purposes are also those that favour aggregation. In (...)
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  45.  51
    A Link Between Alzheimer's and Type II Diabetes Mellitus? Ca+2 -Mediated Signal Control and Protein Localization.Yuko Tsutsui & Franklin A. Hays - 2018 - Bioessays 40 (6):1700219.
    We propose protein localization dependent signal activation (PLDSA) as a model to describe pre‐existing protein partitioning between the cytosol, and membrane surface, as a means to modulate signal activation, specificity, and robustness. We apply PLDSA to explain possible molecular links between type II diabetes mellitus (T2DM) and Alzheimer's disease (AD) by describing Ca+2‐mediated interactions between the Src non‐receptor tyrosine kinase and p52Shc adaptor protein. We suggest that these interactions may serve as a contributing factor to disease development and (...)
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  46.  27
    Shared components of protein complexes—versatile building blocks or biochemical artefacts?Roland Krause, Christian von Mering, Peer Bork & Thomas Dandekar - 2004 - Bioessays 26 (12):1333-1343.
    Protein complexes perform many important functions in the cell. Large‐scale studies of protein–protein interactions have not only revealed new complexes but have also placed many proteins into multiple complexes. Whilst the advocates of hypothesis‐free research touted the discovery of these shared components as new links between diverse cellular processes, critical commentators denounced many of the findings as artefacts, thus questioning the usefulness of large‐scale approaches. Here, we survey proteins known to be shared between complexes, as established in the literature, (...)
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  47.  19
    Are competing intermolecular and intramolecular interactions of PERIOD protein important for the regulation of circadian rhythms in Drosophila?Jeffrey L. Price - 1995 - Bioessays 17 (7):583-586.
    Genetic analysis is revealing molecular components of circadian rhythms. The gene products of the period gene in Drosophila and the frequency gene in Neurospora oscillate with a circadian rhythm. A recent paper(1) has shown that the PERIOD protein can undergo both intermolecular and intramolecular interactions in vitro. The effects of temperature and two period mutations on these molecular interactions were compared to the effects of the mutations and temperature on the in vivo period length of circadian rhythms. The (...)
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  48.  6
    Roles of BRCA1 and its interacting proteins.Chu-Xia Deng & Steven G. Brodie - 2000 - Bioessays 22 (8):728-737.
  49.  9
    The logic of protein post‐translational modifications (PTMs): Chemistry, mechanisms and evolution of protein regulation through covalent attachments.Marcin J. Suskiewicz - 2024 - Bioessays 46 (3):2300178.
    Protein post‐translational modifications (PTMs) play a crucial role in all cellular functions by regulating protein activity, interactions and half‐life. Despite the enormous diversity of modifications, various PTM systems show parallels in their chemical and catalytic underpinnings. Here, focussing on modifications that involve the addition of new elements to amino‐acid sidechains, I describe historical milestones and fundamental concepts that support the current understanding of PTMs. The historical survey covers selected key research programmes, including the study of protein phosphorylation as a (...)
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  50.  16
    Replication protein A: Single‐stranded DNA's first responder.Ran Chen & Marc S. Wold - 2014 - Bioessays 36 (12):1156-1161.
    Replication protein A (RPA), the major single‐stranded DNA‐binding protein in eukaryotic cells, is required for processing of single‐stranded DNA (ssDNA) intermediates found in replication, repair, and recombination. Recent studies have shown that RPA binding to ssDNA is highly dynamic and that more than high‐affinity binding is needed for function. Analysis of DNA binding mutants identified forms of RPA with reduced affinity for ssDNA that are fully active, and other mutants with higher affinity that are inactive. Single molecule studies showed that (...)
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