Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.110502.140348
Charles R Sanders, Jeffrey K Myers
Medical genetics so far has identified approximately 16,000 missense mutations leading to single amino acid changes in protein sequences that are linked to human disease. A majority of these mutations affect folding or trafficking, rather than specifically affecting protein function. Many disease-linked mutations occur in integral membrane proteins, a class of proteins about whose folding we know very little. We examine the phenomenon of disease-linked misassembly of membrane proteins and describe model systems currently being used to study the delicate balance between proper folding and misassembly. We review a mechanism by which cells recognize membrane proteins with a high potential to misfold before they actually do, and which targets these culprits for degradation. Serious disease phenotypes can result from loss of protein function and from misfolded proteins that the cells cannot degrade, leading to accumulation of toxic aggregates. Misassembly may be averted by small-molecule drugs that bind and stabilize the native state.
{"title":"Disease-related misassembly of membrane proteins.","authors":"Charles R Sanders, Jeffrey K Myers","doi":"10.1146/annurev.biophys.33.110502.140348","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.110502.140348","url":null,"abstract":"<p><p>Medical genetics so far has identified approximately 16,000 missense mutations leading to single amino acid changes in protein sequences that are linked to human disease. A majority of these mutations affect folding or trafficking, rather than specifically affecting protein function. Many disease-linked mutations occur in integral membrane proteins, a class of proteins about whose folding we know very little. We examine the phenomenon of disease-linked misassembly of membrane proteins and describe model systems currently being used to study the delicate balance between proper folding and misassembly. We review a mechanism by which cells recognize membrane proteins with a high potential to misfold before they actually do, and which targets these culprits for degradation. Serious disease phenotypes can result from loss of protein function and from misfolded proteins that the cells cannot degrade, leading to accumulation of toxic aggregates. Misassembly may be averted by small-molecule drugs that bind and stabilize the native state.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"25-51"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.110502.140348","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.110502.140405
Jianwei Miao, Henry N Chapman, Janos Kirz, David Sayre, Keith O Hodgson
Recent work is extending the methodology of X-ray crystallography to the structure determination of noncrystalline specimens. The phase problem is solved using the oversampling method, which takes advantage of "continuous" diffraction patterns from noncrystalline specimens. Here we review the principle of this newly developed technique and discuss the ongoing experiments of imaging nonperiodic objects, such as cells and cellular structures, using coherent and bright X rays produced by third-generation synchrotron sources. In the longer run, the technique may be applicable to image single biomolecules using anticipated X-ray free electron lasers. Here, computer simulations have so far demonstrated two important steps: (a) by using an extremely intense femtosecond X-ray pulse, a diffraction pattern can be recorded from a macromolecule before radiation damage manifests itself; and (b) the phase information can be retrieved in an ab initio fashion from a set of calculated noisy diffraction patterns of single protein molecules.
{"title":"Taking X-ray diffraction to the limit: macromolecular structures from femtosecond X-ray pulses and diffraction microscopy of cells with synchrotron radiation.","authors":"Jianwei Miao, Henry N Chapman, Janos Kirz, David Sayre, Keith O Hodgson","doi":"10.1146/annurev.biophys.33.110502.140405","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.110502.140405","url":null,"abstract":"<p><p>Recent work is extending the methodology of X-ray crystallography to the structure determination of noncrystalline specimens. The phase problem is solved using the oversampling method, which takes advantage of \"continuous\" diffraction patterns from noncrystalline specimens. Here we review the principle of this newly developed technique and discuss the ongoing experiments of imaging nonperiodic objects, such as cells and cellular structures, using coherent and bright X rays produced by third-generation synchrotron sources. In the longer run, the technique may be applicable to image single biomolecules using anticipated X-ray free electron lasers. Here, computer simulations have so far demonstrated two important steps: (a) by using an extremely intense femtosecond X-ray pulse, a diffraction pattern can be recorded from a macromolecule before radiation damage manifests itself; and (b) the phase information can be retrieved in an ab initio fashion from a set of calculated noisy diffraction patterns of single protein molecules.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"157-76"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.110502.140405","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515839","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.111502.082538
John R Yates
Mass spectrometry provides key tools for the analysis of proteins. New types of mass spectrometers that provide enhanced capability to discover protein identities and perform improved proteomic experiments are discussed. Handling the complex mixtures of peptides and proteins generated from protein complexes and whole cells requires multidimensional separations; several forms of separation are discussed. Applications of mass spectrometry-based approaches for contemporary proteomic analyses are described.
{"title":"Mass spectral analysis in proteomics.","authors":"John R Yates","doi":"10.1146/annurev.biophys.33.111502.082538","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.111502.082538","url":null,"abstract":"<p><p>Mass spectrometry provides key tools for the analysis of proteins. New types of mass spectrometers that provide enhanced capability to discover protein identities and perform improved proteomic experiments are discussed. Handling the complex mixtures of peptides and proteins generated from protein complexes and whole cells requires multidimensional separations; several forms of separation are discussed. Applications of mass spectrometry-based approaches for contemporary proteomic analyses are described.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"297-316"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.111502.082538","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.32.110601.141800
John SantaLucia, Donald Hicks
DNA secondary structure plays an important role in biology, genotyping diagnostics, a variety of molecular biology techniques, in vitro-selected DNA catalysts, nanotechnology, and DNA-based computing. Accurate prediction of DNA secondary structure and hybridization using dynamic programming algorithms requires a database of thermodynamic parameters for several motifs including Watson-Crick base pairs, internal mismatches, terminal mismatches, terminal dangling ends, hairpins, bulges, internal loops, and multibranched loops. To make the database useful for predictions under a variety of salt conditions, empirical equations for monovalent and magnesium dependence of thermodynamics have been developed. Bimolecular hybridization is often inhibited by competing unimolecular folding of a target or probe DNA. Powerful numerical methods have been developed to solve multistate-coupled equilibria in bimolecular and higher-order complexes. This review presents the current parameter set available for making accurate DNA structure predictions and also points to future directions for improvement.
{"title":"The thermodynamics of DNA structural motifs.","authors":"John SantaLucia, Donald Hicks","doi":"10.1146/annurev.biophys.32.110601.141800","DOIUrl":"https://doi.org/10.1146/annurev.biophys.32.110601.141800","url":null,"abstract":"<p><p>DNA secondary structure plays an important role in biology, genotyping diagnostics, a variety of molecular biology techniques, in vitro-selected DNA catalysts, nanotechnology, and DNA-based computing. Accurate prediction of DNA secondary structure and hybridization using dynamic programming algorithms requires a database of thermodynamic parameters for several motifs including Watson-Crick base pairs, internal mismatches, terminal mismatches, terminal dangling ends, hairpins, bulges, internal loops, and multibranched loops. To make the database useful for predictions under a variety of salt conditions, empirical equations for monovalent and magnesium dependence of thermodynamics have been developed. Bimolecular hybridization is often inhibited by competing unimolecular folding of a target or probe DNA. Powerful numerical methods have been developed to solve multistate-coupled equilibria in bimolecular and higher-order complexes. This review presents the current parameter set available for making accurate DNA structure predictions and also points to future directions for improvement.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"415-40"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.32.110601.141800","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.110502.132654
Jeffrey D Thomas, Taesik Lee, Nam P Suh
Systems biology research is currently dominated by integrative, multidisciplinary approaches. Although important, these strategies lack an overarching systems perspective such as those used in engineering. We describe here the Axiomatic Design approach to system analysis and illustrate its utility in the study of biological systems. Axiomatic Design relates functions at all levels to the behavior of biological molecules and uses a Design Matrix to understand these relationships. Such an analysis reveals that robustness in many biological systems is achieved through the maintenance of functional independence of numerous subsystems. When the interlinking (coupling) of systems is required, biological systems impose a functional period in order to maximize successful operation of the system. Ultimately, the application of Axiomatic Design methods to the study of biological systems will aid in handling cross-scale models, identifying control points, and predicting system-wide effects of pharmacological agents.
{"title":"A function-based framework for understanding biological systems.","authors":"Jeffrey D Thomas, Taesik Lee, Nam P Suh","doi":"10.1146/annurev.biophys.33.110502.132654","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.110502.132654","url":null,"abstract":"<p><p>Systems biology research is currently dominated by integrative, multidisciplinary approaches. Although important, these strategies lack an overarching systems perspective such as those used in engineering. We describe here the Axiomatic Design approach to system analysis and illustrate its utility in the study of biological systems. Axiomatic Design relates functions at all levels to the behavior of biological molecules and uses a Design Matrix to understand these relationships. Such an analysis reveals that robustness in many biological systems is achieved through the maintenance of functional independence of numerous subsystems. When the interlinking (coupling) of systems is required, biological systems impose a functional period in order to maximize successful operation of the system. Ultimately, the application of Axiomatic Design methods to the study of biological systems will aid in handling cross-scale models, identifying control points, and predicting system-wide effects of pharmacological agents.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"75-93"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.110502.132654","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.110502.140357
Kevin D Corbett, James M Berger
Topoisomerases are enzymes that use DNA strand scission, manipulation, and rejoining activities to directly modulate DNA topology. These actions provide a powerful means to effect changes in DNA supercoiling levels, and allow some topoisomerases to both unknot and decatenate chromosomes. Since their initial discovery over three decades ago, researchers have amassed a rich store of information on the cellular roles and regulation of topoisomerases, and have delineated general models for their chemical and physical mechanisms. Topoisomerases are now known to be necessary for the survival of cellular organisms and many viruses and are rich clinical targets for anticancer and antimicrobial treatments. In recent years, crystal structures have been obtained for each of the four types of topoisomerases in a number of distinct conformational and substrate-bound states. In addition, sophisticated biophysical methods have been utilized to study details of topoisomerase reaction dynamics and enzymology. A synthesis of these approaches has provided researchers with new physical insights into how topoisomerases employ chemistry and allostery to direct the large-scale molecular motions needed to pass DNA strands through each other.
{"title":"Structure, molecular mechanisms, and evolutionary relationships in DNA topoisomerases.","authors":"Kevin D Corbett, James M Berger","doi":"10.1146/annurev.biophys.33.110502.140357","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.110502.140357","url":null,"abstract":"<p><p>Topoisomerases are enzymes that use DNA strand scission, manipulation, and rejoining activities to directly modulate DNA topology. These actions provide a powerful means to effect changes in DNA supercoiling levels, and allow some topoisomerases to both unknot and decatenate chromosomes. Since their initial discovery over three decades ago, researchers have amassed a rich store of information on the cellular roles and regulation of topoisomerases, and have delineated general models for their chemical and physical mechanisms. Topoisomerases are now known to be necessary for the survival of cellular organisms and many viruses and are rich clinical targets for anticancer and antimicrobial treatments. In recent years, crystal structures have been obtained for each of the four types of topoisomerases in a number of distinct conformational and substrate-bound states. In addition, sophisticated biophysical methods have been utilized to study details of topoisomerase reaction dynamics and enzymology. A synthesis of these approaches has provided researchers with new physical insights into how topoisomerases employ chemistry and allostery to direct the large-scale molecular motions needed to pass DNA strands through each other.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"95-118"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.110502.140357","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.110502.132716
Kazuhiko Kinosita, Kengo Adachi, Hiroyasu Itoh
F1-ATPase is a rotary motor made of a single protein molecule. Its rotation is driven by free energy obtained by ATP hydrolysis. In vivo, another motor, Fo, presumably rotates the F1 motor in the reverse direction, reversing also the chemical reaction in F1 to let it synthesize ATP. Here we attempt to answer two related questions, How is free energy obtained by ATP hydrolysis converted to the mechanical work of rotation, and how is mechanical work done on F1 converted to free energy to produce ATP? After summarizing single-molecule observations of F1 rotation, we introduce a toy model and discuss its free-energy diagrams to possibly answer the above questions. We also discuss the efficiency of molecular motors in general.
f1 - atp酶是由单个蛋白质分子组成的旋转马达。其旋转是由ATP水解获得的自由能驱动的。在体内,另一个马达,Fo,可能使F1的马达向相反的方向旋转,也逆转了F1中的化学反应,使其合成ATP。在这里,我们试图回答两个相关的问题,ATP水解获得的自由能如何转化为旋转的机械功,以及对F1所做的机械功如何转化为产生ATP的自由能?在总结了F1旋转的单分子观察后,我们引入了一个玩具模型,并讨论了它的自由能图,以可能回答上述问题。我们还讨论了分子马达的一般效率。
{"title":"Rotation of F1-ATPase: how an ATP-driven molecular machine may work.","authors":"Kazuhiko Kinosita, Kengo Adachi, Hiroyasu Itoh","doi":"10.1146/annurev.biophys.33.110502.132716","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.110502.132716","url":null,"abstract":"<p><p>F1-ATPase is a rotary motor made of a single protein molecule. Its rotation is driven by free energy obtained by ATP hydrolysis. In vivo, another motor, Fo, presumably rotates the F1 motor in the reverse direction, reversing also the chemical reaction in F1 to let it synthesize ATP. Here we attempt to answer two related questions, How is free energy obtained by ATP hydrolysis converted to the mechanical work of rotation, and how is mechanical work done on F1 converted to free energy to produce ATP? After summarizing single-molecule observations of F1 rotation, we introduce a toy model and discuss its free-energy diagrams to possibly answer the above questions. We also discuss the efficiency of molecular motors in general.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"245-68"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.110502.132716","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.110502.133328
Abraham Minsky
Nucleic acids are characterized by a vast structural variability. Secondary structural conformations include the main polymorphs A, B, and Z, cruciforms, intrinsic curvature, and multistranded motifs. DNA secondary motifs are stabilized and regulated by the primary base sequence, contextual effects, environmental factors, as well as by high-order DNA packaging modes. The high-order modes are, in turn, affected by secondary structures and by the environment. This review is concerned with the flow of structural information among the hierarchical structural levels of DNA molecules, the intricate interplay between the various factors that affect these levels, and the regulation and physiological significance of DNA high-order structures.
{"title":"Information content and complexity in the high-order organization of DNA.","authors":"Abraham Minsky","doi":"10.1146/annurev.biophys.33.110502.133328","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.110502.133328","url":null,"abstract":"<p><p>Nucleic acids are characterized by a vast structural variability. Secondary structural conformations include the main polymorphs A, B, and Z, cruciforms, intrinsic curvature, and multistranded motifs. DNA secondary motifs are stabilized and regulated by the primary base sequence, contextual effects, environmental factors, as well as by high-order DNA packaging modes. The high-order modes are, in turn, affected by secondary structures and by the environment. This review is concerned with the flow of structural information among the hierarchical structural levels of DNA molecules, the intricate interplay between the various factors that affect these levels, and the regulation and physiological significance of DNA high-order structures.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"317-42"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.110502.133328","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.32.110601.141803
Kai Simons, Winchil L C Vaz
Views of how cell membranes are organized are presently changing. The lipid bilayer that constitutes these membranes is no longer understood to be a homogeneous fluid. Instead, lipid assemblies, termed rafts, have been introduced to provide fluid platforms that segregate membrane components and dynamically compartmentalize membranes. These assemblies are thought to be composed mainly of sphingolipids and cholesterol in the outer leaflet, somehow connected to domains of unknown composition in the inner leaflet. Specific classes of proteins are associated with the rafts. This review critically analyzes what is known of phase behavior and liquid-liquid immiscibility in model systems and compares these data with what is known of domain formation in cell membranes.
{"title":"Model systems, lipid rafts, and cell membranes.","authors":"Kai Simons, Winchil L C Vaz","doi":"10.1146/annurev.biophys.32.110601.141803","DOIUrl":"https://doi.org/10.1146/annurev.biophys.32.110601.141803","url":null,"abstract":"<p><p>Views of how cell membranes are organized are presently changing. The lipid bilayer that constitutes these membranes is no longer understood to be a homogeneous fluid. Instead, lipid assemblies, termed rafts, have been introduced to provide fluid platforms that segregate membrane components and dynamically compartmentalize membranes. These assemblies are thought to be composed mainly of sphingolipids and cholesterol in the outer leaflet, somehow connected to domains of unknown composition in the inner leaflet. Specific classes of proteins are associated with the rafts. This review critically analyzes what is known of phase behavior and liquid-liquid immiscibility in model systems and compares these data with what is known of domain formation in cell membranes.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"269-95"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.32.110601.141803","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515844","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2004-01-01DOI: 10.1146/annurev.biophys.33.110502.132711
Stephen E Halford, Abigail J Welsh, Mark D Szczelkun
Most reactions on DNA are carried out by multimeric protein complexes that interact with two or more sites in the DNA and thus loop out the DNA between the sites. The enzymes that catalyze these reactions usually have no activity until they interact with both sites. This review examines the mechanisms for the assembly of protein complexes spanning two DNA sites and the resultant triggering of enzyme activity. There are two main routes for bringing together distant DNA sites in an enzyme complex: either the proteins bind concurrently to both sites and capture the intervening DNA in a loop, or they translocate the DNA between one site and another into an expanding loop, by an energy-dependent translocation mechanism. Both capture and translocation mechanisms are discussed here, with reference to the various types of restriction endonuclease that interact with two recognition sites before cleaving DNA.
{"title":"Enzyme-mediated DNA looping.","authors":"Stephen E Halford, Abigail J Welsh, Mark D Szczelkun","doi":"10.1146/annurev.biophys.33.110502.132711","DOIUrl":"https://doi.org/10.1146/annurev.biophys.33.110502.132711","url":null,"abstract":"<p><p>Most reactions on DNA are carried out by multimeric protein complexes that interact with two or more sites in the DNA and thus loop out the DNA between the sites. The enzymes that catalyze these reactions usually have no activity until they interact with both sites. This review examines the mechanisms for the assembly of protein complexes spanning two DNA sites and the resultant triggering of enzyme activity. There are two main routes for bringing together distant DNA sites in an enzyme complex: either the proteins bind concurrently to both sites and capture the intervening DNA in a loop, or they translocate the DNA between one site and another into an expanding loop, by an energy-dependent translocation mechanism. Both capture and translocation mechanisms are discussed here, with reference to the various types of restriction endonuclease that interact with two recognition sites before cleaving DNA.</p>","PeriodicalId":8270,"journal":{"name":"Annual review of biophysics and biomolecular structure","volume":"33 ","pages":"1-24"},"PeriodicalIF":0.0,"publicationDate":"2004-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/annurev.biophys.33.110502.132711","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"24515917","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}