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Evidence for allosteric inhibition of ribulose-1,5-bisphosphate carboxylaseStrifler, Beth Ann. January 1984 (has links)
Call number: LD2668 .T4 1984 S87 / Master of Science
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Solution Structural Studies And Substrate Binding Properties Of The Amino-Terminal Domain Of E.coli Pantothenate SynthetaseChakrabarti, Kalyan Sundar 12 1900 (has links)
Pantothenate synthetase (PS), which catalyzes the last step in the pantothenate (vitamin B5) biosynthesis, is a dimeric enzyme present in bacteria, fungi and plants. The enzymatic properties of PS from Escherichia Coli, Mycobacterium tuberculosi, Fusarium Oxysporum, Lotus japonicus, Oryza sativum, Brassica napus and Arabidopsis thaliana have been characterized. The chemical reaction and the proposed mechanism of reaction are identical for PS, irrespective of the source. However, from an enzyme mechanistic point of view, plant PS’s are dissimilar to their bacterial counterparts, in that they exhibit “allosteric behavior”, a property that has not been observed in the bacterial enzyme. The behavior is quite remarkable when one takes into consideration the fact that plant PS’s share a high degree of sequence identity (~ 40%) with the bacterial enzymes. Even more intriguing is the structural mechanism proposed to explain the observed differences in structure between the PS’s from E.Coli and M.tb, which share a 42% sequence identity. Till date there is no structural information available on the plant PS’s and of the substrate bound conformation of E.coli PS. This thesis aims to provide an understanding on some aspects of the structure – function relationship of this physiologically important enzyme. Specifically, the solution properties of E. coli PS have been examined using high-resolution multinuclear, multidimensional NMR methods. Given the large size of the full-length protein (~ 63 KDa), the structurally distinct N and C-terminal domains were cloned and expressed as individual proteins and their properties investigated.
Towards this end, the tertiary fold of the 40 kDa dimeric amino-terminal domain of E. coli pantothenate synthetase has been determined using multidimensional multinuclear nuclear magnetic resonance (NMR) methods (PDB entry 2k6c). Sequence specific resonance assignments for backbone HN, 15N, 13Cα, 13C', sidechain 13Cβ and aliphatic 13CH3 (of isoleucine, leucine and valine residues) were obtained using perdeuterated ILV-methyl protonated samples (BMRB entry 6940). Secondary structure of nPS was determined from 13C secondary chemical shifts and from short and medium range NOEs. Global fold of the 40 kDa homo-dimeric nPS has been determined using a total of 1012 NOEs, 696 dihedral angles, 260 RDCs, 155 hydrogen bonds, radius of gyration potential, non-crystallographic symmetry potential and database derived potential based upon the Ramachandran map. The calculated structures, which show that the N-terminal domain forms a homo-dimer in solution, is of high stereochemical quality as judged by the Ramachandran statistics (70% of the residues have backbone dihedral angles in the allowed region, 25.5% in the additionally allowed region, 4.0% in generously allowed region, and only 0.5% in disallowed region). Dynamics of nPS, which has rotational correlation time τc of 17.3 ns, was investigated by 15N relaxometry measurements. Results of these studies indicate that the E. coli protein exhibits dynamic nature at the dimer interface. These structural and dynamic features of the protein were found to be of interest when correlated with NMR based substrate binding studies.
Interaction of homo-dimeric amino-terminal domain (nPS) of E. coli pantothenate synthetase (PS; encoded by the gene panC; E.C. 6.3.2.1) with the substrates pantoate, β-alanine, ATP and the product pantothenate has been studied using isotopically edited solution NMR methods. Addition of pantoate prior to ATP has led to the interesting observation that pantoate binds each monomer of nPS at two sites. ATP displaces a molecule of pantoate from the ATP binding site. β-alanine and pantothenate do not bind the protein under the condition studied. Binding of pantoate and ATP also manifests as changes in residual dipolar couplings (RDCs) of backbone 1H-15N pairs in nPS when compared to the free form of the protein. Structures of homo-dimeric nPS bound to two molecules of pantoate (PDB entry 2k6e) as well as to pantoate + ATP (PDB entry 2k6f) were calculated by inclusion of hydrogen bonds between the ligands and backbone 1H-15N pairs of nPS in addition to other NMR derived restraints. The ligand bound structures have been compared to the similar forms of the M. tb PS. Structure of each monomer of nPS bound to pantoate and ATP shows the substrates in a favorable orientation for the intermediate pantoyl adenylate to form. Moreover, at all stages of substrate binding the symmetry of the dimer was preserved. A single set of resonances was observed for all protein-ligand complexes implying symmetric binding with full-occupancy of the ligands bound to the protein.
In an effort to understand the structural basis of the observed enzymatic properties of plant PS’s, a structural model of the Arabidopsis PS was constructed. The results of these structural and substrate binding studies strongly suggest that
1 Substrate binding to PS occurs only at the active site.
2 There are no additional substrate binding sites which could potentially participate as regulatory sites.
3 Pantoate does not bind at the dimer interface to induce the observed homotropic effects.
4 The structural results presented on the substrate bound forms of nPS have direct implication for the development of novel antibacterial and herbicidal agents.
Recently a great deal of interest has been evinced on the effects of molecular crowding on protein folding / unfolding pathways. Nuclear magnetic resonance is the only method by which high resolution structural information can be obtained on partially denatured states of a protein under equilibrium condition. Recent methodological advances have enabled the determination of high resolution structures using information embedded in the residual dipolar couplings.
Molecular crowding using confinement may thus reveal important details about chaperone mediated protein folding. We have attempted to develop a protocol to study the effects of molecular confinement by sequestering proteins in poly-acrylamide gels and then subjecting these protein molecules to denaturation and then characterize these states by nuclear magnetic resonance. The preliminary results of these studies are described here.
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Probing Ligand Induced Perturbations In Protien Structure Networks : Physico-Chemical Insights From MD Simulations And Graph TheoryBhattacharyya, Moitrayee 06 1900 (has links) (PDF)
The fidelity of biological processes and reactions, inspite of the widespread diversity, is programmed by highly specific physico-chemical principles. This underlines our basic understanding of different interesting phenomena of biological relevance, ranging from enzyme specificity to allosteric communication, from selection of fold to structural organization / states of oligomerization, from half-sites-reactivity to reshuffling of the conformational free energy landscape, encompassing the dogma of sequence-structure dynamics-function of macromolecules. The role of striking an optimal balance between rigidity and flexibility in macromolecular 3D structural organisation is yet another concept that needs attention from the functional perspective. Needless to say that the variety of protein structures and conformations naturally leads to the diversity of their function and consequently many other biological functions in general. Classical models of allostery like the ‘MWC model’ or the ‘KNF model’ and the more recently proposed ‘population shift model’ have advanced our understanding of the underlying principles of long range signal transfer in macromolecules. Extensive studies have also reported the importance of the fold selection and 3D structural organisation in the context of macromolecular function. Also ligand induced conformational changes in macromolecules, both subtle and drastic, forms the basis for controlling several biological processes in an ordered manner by re-organizing the free energy landscape.
The above mentioned biological phenomena have been observed from several different biochemical and biophysical approaches. Although these processes may often seem independent of each other and are associated with regulation of specialized functions in macromolecules, it is worthwhile to investigate if they share any commonality or interdependence at the detailed atomic level of the 3D structural organisation. So the nagging question is, do these diverse biological processes have a unifying theme, when probed at a level that takes into account even subtle re-orchestrations of the interactions and energetics at the protein/nucleic acid side-chain level. This is a complex problem to address and here we have made attempts to examine this problem using computational tools. Two methods have been extensively applied: Molecular Dynamics (MD) simulations and network theory and related parameters. Network theory has been extensively used in the past in several studies, ranging from analysis of social networks to systems level networks in biology (e.g., metabolic networks) and have also found applications in the varied fields of physics, economics, cartography and psychology. More recently, this concept has been applied to study the intricate details of the structural organisation in proteins, providing a local view of molecular interactions from a global perspective. On the other hand, MD simulations capture the dynamics of interactions and the conformational space associated with a given state (e.g., different ligand-bound states) of the macromolecule. The unison of these two methods enables the detection and investigation of the energetic and geometric re-arrangements of the 3D structural organisation of macromolecule/macromolecular complexes from a dynamical or ensemble perspective and this has been one of the thrust areas of the current study. So we not only correlate structure and functions in terms of subtle changes in interactions but also bring in conformational dynamics into the picture by studying such changes along the MD ensemble.
The focus was to identify the subtle rearrangements of interactions between non-covalently interacting partners in proteins and the interacting nucleic acids. We propose that these rearrangements in interactions between residues (amino acids in proteins, nucleic acids in RNA/DNA) form the common basis for different biological phenomena which regulates several apparently unrelated processes in biology. Broadly, the major goal of this work is to elucidate the physico-chemical principles underlying some of the important biological phenomena, such as allosteric communication, ligand induced modulation of rigidity/flexibility, half-sites-reactivity and so on, in molecular details. We have investigated several proteins, protein-RNA/DNA complexes to formulate general methodologies to address these questions from a molecular perspective. In the process we have also specifically illuminated upon the mechanistic aspects of the aminoacylation reaction by aminoacyl-tRNA synthetases like tryptophanyl and pyrrolysyl tRNA synthetase, structural details related to an enzyme catalyzed reaction that influences the process of quorum sensing in bacteria. Further, we have also examined the ‘dynamic allosterism’ that manipulates the activity of MutS, a prominent component of the DNA bp ‘mismatch repair’ machinery. Additionally, our protein structure network (PSN) based studies on a dataset of Rossmann fold containing proteins have provided insights into the structural signatures that drive the adoption of a fold from a repertoire of diverse sequences. Ligand induced percolations distant from the active sites, which may be of functional relevance have also been probed, in the context of the S1A family of serine proteases. In the course of our investigation, we have borrowed several concepts of network parameters from social network analysis and have developed new concepts.
The Introduction (Chapter-1) summarizes the relevant literature and lays down a suitable background for the subsequent chapters in the thesis. The major questions addressed and the main goal of this thesis are described to set an appropriate stage for the detailed discussions. The methodologies involved are discussed in Chapter-2. Chapter-3 deals with a protein, LuxS that is involved in the bacterial quorum sensing; the first part of the chapter describes the application of network analysis on the static structures of several LuxS proteins from different organisms and the second part of this chapter describes the application of a dynamic network approach to analyze the MD trajectories of H.pylori LuxS. Chapter-4 focuses on the investigation of human tryptophanyl-tRNA synthetase (hTrpRS), with an emphasis to identify ligand induced subtle conformational changes in terms of the alternation of rigidity/flexibility at different sites and the re-organisation of the free energy landscape. Chapter-5 presents a novel application of a quantum clustering (QC) technique, popular in the fields of pattern recognition, to objectively cluster the conformations, sampled by molecular dynamics simulations performed on different ligand bound structures of the protein. The protein structure network (PSN) in the earlier studies were constituted on the basis of geometric interactions. In Chapters 6 and 7, we describe the networks (proteins+nucleic acids) using interaction energy as edges, thus incorporating the detailed chemistry in terms of an energy-weighted complex network. Chapter-6 describes an application of the energy weighted network formalism to probe allosteric communication in D.hafniense pyrrolysyl-tRNA synthetase. The methodology developed for in-depth study of ligand induced changes in DhPylRS has been adopted to the protein MutS, the first ‘check-point protein’ for DNA base pair (bp) mismatch repair. In Chapter-7, we describe the network analysis and the biological insights derived from this study (the work is done in collaboration with Prof. David Beveridge and Dr. Susan Pieniazek). Chapter-8 describes the application of a network approach to capture the ligand-induced subtle global changes in protein structures, using a dataset of high resolution structures from the S1A family of serine proteases. Chapter-9 deals with probing the structural rationale behind diverse sequences adopting the same fold with the NAD(P)-binding Rossmann fold as a case study. Future directions are discussed in the final chapter of the thesis (Chapter-10).
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