Resolution of Two Sub-Populations of Conformers and Their Individual Dynamics by Time Resolved Ensemble Level FRET Measurements

Most active biopolymers are dynamic structures; thus, ensembles of such molecules should be characterized by distributions of intra- or intermolecular distances and their fast fluctuations. A method of choice to determine intramolecular distances is based on Förster resonance energy transfer (FRET) measurements. Major advances in such measurements were achieved by single molecule FRET measurements. Here, we show that by global analysis of the decay of the emission of both the donor and the acceptor it is also possible to resolve two sub-populations in a mixture of two ensembles of biopolymers by time resolved FRET (trFRET) measurements at the ensemble level. We show that two individual intramolecular distance distributions can be determined and characterized in terms of their individual means, full width at half maximum (FWHM), and two corresponding diffusion coefficients which reflect the rates of fast ns fluctuations within each sub-population. An important advantage of the ensemble level trFRET measurements is the ability to use low molecular weight small-sized probes and to determine nanosecond fluctuations of the distance between the probes. The limits of the possible resolution were first tested by simulation and then by preparation of mixtures of two model peptides. The first labeled polypeptide was a relatively rigid Pro₇ and the second polypeptide was a flexible molecule consisting of (Gly-Ser)₇ repeats. The end to end distance distributions and the diffusion coefficients of each peptide were determined. Global analysis of trFRET measurements of a series of mixtures of polypeptides recovered two end-to-end distance distributions and associated intramolecular diffusion coefficients, which were very close to those determined from each of the pure samples. This study is a proof of concept study demonstrating the power of ensemble level trFRET based methods in resolution of subpopulations in ensembles of flexible macromolecules.     

Predicting the Binding Patterns of Hub Proteins: A Study Using Yeast Protein Interaction Networks

Background

Protein-protein interactions are critical to elucidating the role played by individual proteins in important biological pathways. Of particular interest are hub proteins that can interact with large numbers of partners and often play essential roles in cellular control. Depending on the number of binding sites, protein hubs can be classified at a structural level as singlish-interface hubs (SIH) with one or two binding sites, or multiple-interface hubs (MIH) with three or more binding sites. In terms of kinetics, hub proteins can be classified as date hubs (i.e., interact with different partners at different times or locations) or party hubs (i.e., simultaneously interact with multiple partners).

Methodology

Our approach works in 3 phases: Phase I classifies if a protein is likely to bind with another protein. Phase II determines if a protein-binding (PB) protein is a hub. Phase III classifies PB proteins as singlish-interface versus multiple-interface hubs and date versus party hubs. At each stage, we use sequence-based predictors trained using several standard machine learning techniques.

Conclusions

Our method is able to predict whether a protein is a protein-binding protein with an accuracy of 94% and a correlation coefficient of 0.87; identify hubs from non-hubs with 100% accuracy for 30% of the data; distinguish date hubs/party hubs with 69% accuracy and area under ROC curve of 0.68; and SIH/MIH with 89% accuracy and area under ROC curve of 0.84. Because our method is based on sequence information alone, it can be used even in settings where reliable protein-protein interaction data or structures of protein-protein complexes are unavailable to obtain useful insights into the functional and evolutionary characteristics of proteins and their interactions.

Availability

We provide a web server for our three-phase approach: http://hybsvm.gdcb.iastate.edu.     

Study of the Interaction of the Myelin Monomeric GTP-Binding Proteins with Other Brain Proteins

Abstract: Although several monomeric GTP-binding proteins have been found in myelin, the signaling pathways in which they operate are not known. To define these signaling pathways we searched for specific target proteins that interact with the myelin monomeric GTP-binding proteins. A blot overlay approach was used. Bovine white matter homogenate, myelin, and oligodendrocyte proteins were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis and blotted onto nitrocellulose membranes. The presence of proteins that interact with the myelin GTP-binding proteins was explored by incubating those blots with an enriched fraction of 22- and 25-kDa myelin GTP-binding proteins labeled with radioactive guanine nucleotides. When the GTP-binding proteins were in the inactive state (GDP-bound) they interacted with 28-, 47-, and 58-kDa oligodendrocyte polypeptides. Only the 28-kDa protein was present in myelin. In the active state (GTP-bound), they interacted only with a 47-kDa protein in myelin but with 31-, 38-, 47-, 58-, 60-, 68-, and 71-kDa proteins in oligodendrocytes and total homogenate. Under these experimental conditions the 28-kDa protein did not interact with the GTP-binding proteins. The fact that the myelin GTP-binding proteins in the active state formed complexes with a different set of proteins than when in the inactive state is a strong indication that these proteins are effector proteins. With the exception of the 31- and 38-kDa proteins that were detected only in the cytoplasmic fraction, these polypeptides were detected in the cytosolic fraction and total membrane fraction. The 25-kDa GTP-binding protein was present in all the complexes. Immunoblot analysis indicated that the 28-kDa polypeptide is RhoGDI, an effector protein that is known to regulate the activation and movement of several GTP-binding proteins between different cellular compartments. Thus, this study opens the way to identify the macromolecules participating in the myelin signaling pathway involving monomeric GTP-binding proteins.     

FRET Reveals Novel Protein-Receptor Interaction of Bone Morphogenetic Proteins Receptors and Adaptor Protein 2 at the Cell Surface

Bone morphogenetic proteins (BMPs) are involved with a wide range of processes including apoptosis, differentiation, and proliferation. Several different pathways such as Smad, p38, and PI3/Akt are activated by BMPs. Signaling is transduced by BMP receptors (BMPRs) of type I and type II that are serine/threonine kinase receptors. BMPRs shuttle between membrane domains such as caveolae enriched with caveolin-1 β-isoform and caveolae of the caveolin-1 α/β-isoforms. It is hypothesized that there are other membrane domains to which the receptors localize. We used immunoprecipitation, Western blots, image cross-correlation spectroscopy, and fluorescence resonance energy transfer to investigate the interaction of BMPRs with proteins in clathrin-coated pits (CCPs). Our data indicate that these domains are associated with at least two of the BMPRs: BRIa and BRII. For the first time, to our knowledge, we showed what we believe are specific interactions between BRIa and BRII with a key component of CCPs, adaptor protein 2. Further, disruption of CCPs resulted in increased BRIa aggregation at the cell surface and activation of the BMP pathway even in the absence of BMP2. Therefore, CCPs seem to function as a negative regulatory membrane domain for BMP pathway activation.     

Molecular Docking Study of Beta-Glucosidase with Cellobiose,Cellotetraose and Cellotetriose

Beta-glucosidase (3.2.1.21) plays an essential role in the removal of non-reducing terminal glucosyl residues from glycosides. Recently, beta-glucosidase has been of interest for biomass conversion that acts in synergy with two other enzymes, endoglucanase and exo-glucanase. However, there is not much information available on the catalytic interactions of beta-glucosidase with its substrates. Thus, this study reports on the binding modes between beta-glucosidase from glycoside hydrolase family 1 namely BglB with cellobiose, cellotetraose and cellotetriose via molecular docking simulation. From the results, the binding affinities of BglB-cellobiose, BglB-cellotetraose, and BglB-cellotetriose complexes were reported to be -6.2kJ/mol , -5.68 kJ/mol and -5.63 kJ/mol, respectively. The detail interactions were also been investigated that revealed the key residues involved in forming hydrogen bonds (h-bond) with the substrates. These findings may provide valuable insigths in designing beta-glucosidase with higher cellobiose-hydrolyzing efficiency.     

Triazinylamidophosphate Oligonucleotides: Synthesis and Study of Their Interaction with Cells and DNA-Binding Proteins

Russian Journal of Bioorganic Chemistry - In this work, representatives of the class of triazinylamidophosphate oligonucleotide derivatives were obtained for the first time. A scheme for the...     

A Comparative Analysis of the Synergistic Interaction Between N'-Phenylsulfanilamides and Benzylpyrimidines Using Qsar Techniques

Abstract

Growth inhibition of E. coli cell culture has been determined for a series of 4-substituted-N'-phenylsulfonamides tested in the presence and absence of synergistic concentrations of trimethoprim. Quantitative structure-activity relationships, established by regression analysis, exhibit an identical dependence of bacterial growth inhibition on sulfonamide pK_a irrespective of the presence or absence of trimethoprim. Examination of a small series of benzylpyrimidines in the presence or absence of 4-dimethylamino-N¹-phenylsulfanilamide gave similar results. Since the presence of a synergistic agent affords no change in structure-activity relationships, it is concluded that no direct interaction between sulfonamides and benzylpyrimidines occurs and that the synergism observed is solely the result of the kinetic consequences of sequential blockade of the folate biosynthetic pathway.     

A Matrix Protein Silences Transposons and Repeats through Interaction with Retinoblastoma-Associated Proteins

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Highlights? The Arabidopsis matrix protein TEK silences transposons and repeat-containing genes ? Binding of TEK on targets affects chromatin conformation and histone modifications ? TEK protein associates with FVE/MSI5-containing histone deacetylation complex ? TEK directs repressive modification as a key structural component in gene silencing     

Rab11的结构特征、效应因子与功能

Rab11是Rab小分子GTP酶家族的成员.在细胞内膜泡再循环途径中,Rab11作为重要调节因子,介导膜泡从内体向质膜的运输.近年来随着对Rab11研究的深入,人们发现该蛋白质在多种细胞生命活动中发挥着关键作用.现对Rab11的结构、效应蛋白及功能等方面进行了综述.     

Structural Model for p75–TrkA Intracellular Domain Interaction: A Combined FRET and Bioinformatics Study

Nerve growth factor (NGF) is a member of the neurotrophins, which are important regulators of embryonic development and adult function in the vertebrate nervous systems. The signaling elicited by NGF regulates diverse activities, including survival, axon growth, and synaptic plasticity. NGF action is mediated by engagement with two structurally unrelated transmembrane receptors, p75^NTR and TrkA, which are co-expressed in a variety of cells. The functional interactions of these receptors have been widely demonstrated and include complex formation, convergence of signaling pathways, and indirect interaction through adaptor proteins. Each domain of the receptors was shown to be important for the formation of TrkA and p75^NTR complexes, but only the intramembrane and transmembrane domains seemed to be crucial for the creation of high-affinity binding sites. However, whether these occur through a physical association of the receptors is unclear. In the present work, we demonstrate by Förster resonance energy transfer that p75^NTR and TrkA are physically associated through their intracellular (IC) domains and that this interaction occurs predominantly at the cell membrane and prior to NGF stimulation. Our data suggest that there is a pool of receptors dimerized before NGF stimulus, which could contribute to the high-affinity binding sites. We modeled the three-dimensional structure of the TrkA IC domain by homology modeling, and with this and the NMR-resolved structure of p75^NTR, we modeled the heterodimerization of TrkA and p75^NTR by docking methods and molecular dynamics. These models, together with the results obtained by Förster resonance energy transfer, provide structural insights into the receptors' physical association.     

Predicting Important Residues and Interaction Pathways in Proteins Using Gaussian Network Model: Binding and Stability of HLA Proteins

A statistical thermodynamics approach is proposed to determine structurally and functionally important residues in native proteins that are involved in energy exchange with a ligand and other residues along an interaction pathway. The structure-function relationships, ligand binding and allosteric activities of ten structures of HLA Class I proteins of the immune system are studied by the Gaussian Network Model. Five of these models are associated with inflammatory rheumatic disease and the remaining five are properly functioning. In the Gaussian Network Model, the protein structures are modeled as an elastic network where the inter-residue interactions are harmonic. Important residues and the interaction pathways in the proteins are identified by focusing on the largest eigenvalue of the residue interaction matrix. Predicted important residues match those known from previous experimental and clinical work. Graph perturbation is used to determine the response of the important residues along the interaction pathway. Differences in response patterns of the two sets of proteins are identified and their relations to disease are discussed.     

rDock: A Fast,Versatile and Open Source Program for Docking Ligands to Proteins and Nucleic Acids

Identification of chemical compounds with specific biological activities is an important step in both chemical biology and drug discovery. When the structure of the intended target is available, one approach is to use molecular docking programs to assess the chemical complementarity of small molecules with the target; such calculations provide a qualitative measure of affinity that can be used in virtual screening (VS) to rank order a list of compounds according to their potential to be active. rDock is a molecular docking program developed at Vernalis for high-throughput VS (HTVS) applications. Evolved from RiboDock, the program can be used against proteins and nucleic acids, is designed to be computationally very efficient and allows the user to incorporate additional constraints and information as a bias to guide docking. This article provides an overview of the program structure and features and compares rDock to two reference programs, AutoDock Vina (open source) and Schrödinger''s Glide (commercial). In terms of computational speed for VS, rDock is faster than Vina and comparable to Glide. For binding mode prediction, rDock and Vina are superior to Glide. The VS performance of rDock is significantly better than Vina, but inferior to Glide for most systems unless pharmacophore constraints are used; in that case rDock and Glide are of equal performance. The program is released under the Lesser General Public License and is freely available for download, together with the manuals, example files and the complete test sets, at http://rdock.sourceforge.net/

This is a PLOS Computational Biology Software Article.

     

黑小麦与普通小麦过氧化物酶和蛋白质的比较研究

以小麦作对照．系统研究了2种黑小麦幼苗生长过程中过氧化物酶(POD)活性的变化．同时利用聚丙烯酰胺凝胶垂直板电泳对2种黑小麦的幼苗生长不同时期根、芽的过氧化物酶同工酶及其蛋白质进行了分离分析。结果显示：黑小麦POD酶活性高于小麦。黑小麦POD同工酶谱与小麦差异明显．且在幼苗生长不同时期变化显著。幼根与幼芽中可溶性蛋白的合成动态具有明显差异。     

Interaction of Na,K-ATPase Catalytic Subunit with Cellular Proteins and Other Endogenous Regulators

Some mechanisms of regulation of Na,K-ATPase activity in various tissues including the phosphorylation of the catalytic subunit of the enzyme by different protein kinases (PKA, PKC, and tyrosine kinase) and the interaction of the -subunit with different proteins (Na,K-ATPase - and -subunits, ankyrin, phosphoinositide-3 kinase, and AP-2 protein) and endogenous digitalis-like factors are considered. Special attention is given to the search for possible protein-partners including melittin-like protein and to the mechanism of enzyme regulation connected with the change of Na,K-ATPase quaternary structure. A recently discovered role of Na,K-ATPase as a receptor providing signal transduction inside the cell not only by changing the concentration of biologically significant cations but also using direct interaction of the enzyme with the protein-partners is discussed.