Diss. (sammanfattning) Uppsala : Uppsala universitet, 2008. / Härtill 3 uppsatser.

Thesis (Ph. D.) -- University of Texas Southwestern Medical Center at Dallas, 2005. / Vita. Bibliography: 70-86.

Thesis (Ph.D.)--University of Alabama at Birmingham, 2008. / Title from PDF title page (viewed on Sept. 17, 2009). Includes bibliographical references.

Thesis (Ph. D.)--University of Washington, 2005. / Vita. Includes bibliographical references (leaves 91-100).

Thesis (Ph. D.)--University of Washington, 2000. / Vita. Includes bibliographical references (leaves 137-154).

Proteins are large biomolecules consisting of one or more long chains of amino acid residues. They perform a vast array of functions within living organisms. In this thesis, we present analyses of different secondary structural elements (SSEs) in proteins and various methods developed for the same purpose. Using only the geometric parameters, a program for identification of SSEs has been developed, which is more sensitive to the local structural variations. An understanding of the factors that determine the length, geometry as well as location of a particular SSE in the protein is essential to fully appreciate their respective roles in protein structures. The comparative analysis of the geometry of α-helices identified by different programs showed that STRIDE assigned α-helices are more kinked. Conformation of Pro residues in α-helices has also been studied in detail. Several interesting conclusions are drawn from the comprehensive study of π-helices and PolyProline-II (PPII) helices. In the subsequent paragraphs, a brief summary of each chapter is provided. The Introduction (Chapter 1) summarizes the relevant literature, which includes both experimental as well as theoretical studies explaining the structural and functional importance of SSEs in proteins and lays down a suitable background for the subsequent chapters in the thesis. The major questions addressed and the main goals of this thesis are described to set a suitable stage for the detailed discussions. The methodologies involved are discussed in Chapter 2. These include protocol used for preparing non-redundant datasets of protein structures, various statistical methods used to test the significance of position-wise amino acid propensities and different programs used during the course of present investigations. SSEs play an important role in the folding of proteins. However, identification of these SSEs in proteins is a common yet important concern in structural biology. Chapter 3 details a new method ASSP (Assignment of Secondary Structure in Proteins), which uses only the path traversed by the Cα atoms of the consecutive residues. The algorithm is based on the premise that the protein structure can be divided into continuous or uniform stretches, which can be defined in terms of helical parameters and depending on their values, the stretches can be classified into different SSEs, viz. α, 310, π, extended β-strands and PPII and other left handed helices. The methodology was validated using an unbiased clustering of these parameters for a protein dataset containing 1008 protein chains, which advocate that there are seven well defined clusters associated with different SSEs. Apart from α-helices and extended β-strands, 310 and π-helices were also found to occur in considerable numbers. Various analyses demonstrated that the ASSP was able to discriminate the non α-helical segments from flanking α-helices, which were often identified as a part of α-helix by other algorithms. The standalone version of the program for the Linux as well as Windows operating systems is freely downloadable and the web server version is also available at http://nucleix.mbu.iisc.ernet.in/assp/index.html. Among all SSEs in proteins, α-helices are relatively well defined. However, a precise quantitative estimate of their geometrical features and identification of terminal residues is difficult. In Chapter 4, a set of major changes/ updates, implemented in the algorithm of in-house program for analysis of geometry of helices in proteins (HELANAL), has been discussed in detail. It defines the helix parameters based on the path traced by Cα atoms alone and classifies the geometry of the helices into linear, curved, kinked and unassigned type, by fitting the least square 3D line and sphere to the local helix origin points (LHOP). The geometry assigned using HELANAL-Plus is independent of the orientation of the helix in 3D space and also does not depend on the database from which it is taken. The program is made available as a webserver as well as standalone and the helices can be viewed in the JmolApplet along with the best fit helix axis, which makes HELANAL-Plus useful for analysing the inter helix interaction and packing. The utility of the webserver has been increased by incorporating the use of SSE assignment programs like ASSP, DSSP or STRIDE. Pro kinked helices and correlation with the UP and DOWN conformation of Pro were studied in more detail. HELANAL-Plus is available at http://nucleix.mbu.iisc.ernet.in/helanalplus/index.html. Linux/Unix and windows compatible executables are also available for download. The analyses of kinks in a dataset of helices indicated a correlation with the large radius of the cylinder encompassing the residue at which the kink has been observed and many a time ASSP identified that as a π-helix. The detailed analysis of π-helices was limited due to the low frequency of identification by different algorithms. ASSP identified 659 π-helices in 3582 protein chains, solved at resolution ≤ 2.5Å and validated by molprobity. Chapter 5 reports the detailed study of the functional and structural roles of π-helices along with the position-wise amino acid propensity within and around them. These helices were found to range from 5 to 18 residues in length with the average twist and rise being 85.2°±7.2° and 1.28ű0.31Å respectively. The investigation of π-helices illustrated that they occur mostly in conjunction with α-helices. The majority of π-helices, with flanking α-helices at both termini, were found to be conserved across a large number of structures within a protein family and induce local distortions in the neighbouring α-helices. The presence of a π-helical fragment leads to appropriate orientation as well as positioning of the constituent residues and hence facilitate favourable interactions and also help in proper folding of the protein chain. The comprehensive analyses of position-wise amino acid propensity within and around π-helices showed their unique preferences, which are different from those of α-helices. Additionally and most importantly, the study also brought to light the influence of π-helices on the residue preference in preceding or succeeding α-helices and vice-versa. Study of another important SSE in proteins (Chapter 6), PPII helices, was inspired by their large number of occurrence and initiated with the aim of understanding their structural and functional roles. These helices are defined as an extended, flexible left-handed helix without intra-helical H-bonds and found to occur very frequently. ASSP identifies 3597 PPII helices in 3582 protein chains. Though PPII helices occur on a much smaller scale than α-helices and β-strands, their sheer number is still more than that of π-helices. The analyses of PPII-helices revealed that almost 50% of the total helices do not contain Pro residues and show a preference for polar residues. PPII-helices were found in conjunction with major SSEs and they often connect them. These helices range from 3 to 13 residues in length with the average twist and rise being -121.2°±9.2° and 3.0ű0.1Å respectively. The analysis of various non-bonded interactions revealed the frequent presence of C-H…N and C-H…O non-bonded interactions. The analysis of the amino acid preference within and around PPII-helices showed the avoidance of aromatic residues within the helix, while preference of Gly, Asn and Asp residues in the flanking region. Detailed analyses of various functional and structural roles mediated by PPII-helices have also been carried out. Identification and analysis of non-bonded interactions within a molecule and with the surrounding molecules are an essential part of structural studies. Given the importance of these interactions, we have developed a new algorithm named MolBridge and Chapter 7 provides the detailed description about it. MolBridge is an easy to use algorithm based purely on geometric criteria that can identify all possible non-bonded interactions, such as hydrogen bond, halogen bond, cation…π, π…π and van der Waals, in small molecules as well as biomolecules. Various features available in the webserver make it more user-friendly and interactive. The Unix/Linux version of the program is freely downloadable and the web server version is available at http://nucleix.mbu.iisc.ernet.in/molbridge/index.php. The overall conclusion from the current investigation and the possible future directions are presented in Chapter 8. Our findings suggest that the path traversed by Cα atoms is enough for the identification of SSEs. We believe that the various algorithms (ASSP, HELANAL-Plus and MolBridge) developed can provide a better understanding of the finer nuances of protein secondary structures. ASSP can make an important contribution in the better understanding of comparatively less frequent structural motifs and identification of novel SSEs. The most comprehensive study of π-helices gives in-depth insight about it. The analysis of interspersed π-helices gives a comprehensive understanding of the local deformations and variations in the helical segments. Apart from studies embodied in the thesis, author has been involved in few other studies, which are provided as appendix: Appendix A describes a program RNAHelix, which can regenerate duplexes from the dinucleotide step and base pair parameters for a given double helical DNA or RNA sequence. It can be used to generate/ regenerate the duplexes with the non-canonical base pairing as well.

Nesse trabalho, são investigadas as propriedades dinâmicas de modelos da mecânica estatística na criticalidade. Inicialmente, trabalhando com modelos de spin e utilizando os conceitos de persistência global e de dimensão anômala da magnetização inicial, mostramos que o modelo de Baxter-Wu não está na mesma classe de universalidade dos modelos de Potts com quatro estados e de Ising com interação de três spins em uma direção, todos bidimensionais. Na segunda parte da tese, estudamos o fenômeno de crescimento da superfície gerada pela deposição segundo as regras que definem os autômatos celulares probabilísticos propostos por Grassberger (modelos A e B). Esses dois autômatos não pertencem à classe de universalidade de Domany-Kinzel e apresentam novos expoentes críticos, cuja origem se deve à conservação de paridade. Determinamos o expoente de crescimento beta w, válido em tempos curtos, assim como os outros expoentes críticos associados ao crescimento de superfície (alfa e z). Nossas estimativas se comparam bem com os resultados obtidos a partir de razões de inteiros propostas por Jensen para os expoentes beta, ni paralelo e ni perpendicular. Finalmente, investigamos a transição de fase entre o estado helicoidal e o estado desordenado (random coil) da polialanina e do fragmento peptídico PTH(1-34), que corresponde aos resíduos 1 a 34 da região aminoterminal do hormônio das paratireóides. Nosso cálculo, que leva em conta as interações entre todos os átomos da molécula, está baseado em uma abordagem de tempos curtos. Os resultados dessa análise indicam que a transição helix-coil das polialaninas e do PTH(1-34) é de segunda ordem e apontam para uma classe de universalidade para a transição helix-coil em homopolímeros e proteínas (partindo de um estado helicoidal). / In this work we investigated dynamic properties of statistical mechanical models at criticality. At first, using the concepts of global persistence and anomalous dimension of initial magnetization, we showed that the Baxter-Wu model does not belong to the same universality class as 4-state Potts model and Ising with multispin interaction in one direction. In the sequence, we studied the roughening behavior generated by deposition governed by rules defined by probabilistic cellular automata proposed by Grassberger (A and B models). Those models are known do not belong to the Domany-Kinzel universality class. They are characterized by different exponents which are related to the parity conserving (PC). We estimated the growth exponent beta w, in short-time regimen, such as, other critical exponents associated to the surface growth (alpha and z). Our results are in good agreement with those expected for parity conserving universality class. At last we studied the phase transition between the completely helical state and the random coil of the polyalanine, such as, for the 34-residue human parathyroid fragment PTH(1-34). Our short-time simulations of the helix-coil transition are based on a detailed all-atom representation of proteins. The results indicate that helix-coil transition in polyalanine and PTH(1-34) is a second-order phase transition and suggest a universality class to the helix-coil transition in homopolymer and (helical) proteins.

Membrane proteins roughly constitute 30% of open reading frames in a genome and form 70% of current drug targets. They are classified as integral, peripheral membrane proteins and polypeptide toxins. α-helices and β -strands are the principal secondary structures observed in integral membrane proteins. This thesis presents the results of studies on analysis and correlation of sequence and structure of helices constituting integral helical membrane proteins. The aim of this work is to understand the helix stabilization, distortion as well as packing in terms of amino acid sequences and the correlated structures they adopt. To this end, analyses of datasets of X-ray crystal structures of integral helical membrane proteins and their comparison with a dataset of representative folds of globular proteins was carried out. Initial analysis was carried out using a non-redundant dataset of 75 membrane proteins to understand sequence and structural preferences for stabilization of helix termini. The subsequent analysis of helix distortions in membrane proteins was carried out using an updated dataset of 90 membrane proteins. Chapter 1 of the thesis reviews experimental as well as theoretical studies that have provided insights into understanding the structure of helical membrane proteins. Chapter 2 details the methods used during the course of the present investigations. These include the protocol used for creation of the non-redundant database of membrane and globular proteins. Various statistical methods used to test significance of the position-wise representation of amino acids in helical regions and the differences in globular and membrane protein datasets have been listed. Based on the tests of significance, a methodology to identify differences in propensity values that are statistically significant among two datasets has been devised. Programs used for secondary structure identification of membrane proteins namely Structure Identification (STRIDE) and Assignment of Secondary Structure in Proteins (ASSP) as well as those used for characterization of helical geometry (Helanal-Plus) have also been enlisted. In Chapter 3, datasets of 865 α-helices in 75 membrane proteins and 2680 α- helices from 626 representative folds in globular proteins defined by the STRIDE program have been analyzed to study the sequence determinants at fifteen positions within and around the α-helix. The amino acid propensities have been studied for positions that are important for the process of helix initiation, propagation, stabilization and termination. Each of the 15 positions has unique sequence characteristics reflecting their role and contribution towards the stability of the α-helix. A comparison of the sequence preferences in membrane and globular proteins revealed common residue preferences in both these datasets confirming the importance of these positions and the strict residue preferences therein. However, short/medium length α-helices that initiated/terminated within the membrane showed distinct amino acid preferences at the N-terminus (Ncap, N1, N2) as well as the C-terminus ( Ccap, Ct) when compared to α-helices belonging to membrane and globular proteins. The sequence preferences in membrane proteins were governed by the helix initiating and terminating property of the amino acids as well as the external environment of the helix. Results from our analysis also conformed well with experimentally tested amino acid preferences in a position-specific amino acid preference library of the rat neurotensin receptor (Schlinkmann et al (2012) Proc Natl Acad Sci USA 109(25):1890-5) as well as crystal structures of GPCR proteins. In the light of the environment dependent amino acid preferences found at α- helix termini, a survey was carried out to find various helix capping motifs adopted at both termini of α-helices in globular and membrane proteins to stabilize these helix termini. The results from these findings have been reported in Chapter 4. A sequence dependent structural preference is found for capping motifs at helix termini embedded inside and protruding outside the membrane. The N-terminus of α-helices was capped by hydrogen bonds involving free main chain amide groups of the first helical turn as donors and amino acid side chains as acceptors, as against the C-terminus which showed position-dependent characteristic backbone conformations to cap the helix. Overall helix termini inside the membrane did not show a very high number of capping motifs; instead these termini were stabilized by helix- helix interactions contributed by the neighboring helices of the helical bundle. In Chapter 5, we examine transmembrane helical (TMH) regions to identify as well as characterize the various types of helix perturbations in membrane proteins using ASSP and Helanal-Plus. A survey of literature shows that the term ‘helix kink’ has been used rather loosely when in fact helical regions show significant amounts of variation and transitions in helical parameters. Hence a systematic analysis of TMH regions was undertaken to quantify different types of helix perturbations, based on geometric parameters such as helical twist, rise per residue and local bending angle. Results from this analysis indicated that helices are not only kinked but undergo transitions to form interspersed stretches of 310 helices and π-bulges within the bilayer. These interspersed 310 and π-helices showed unique sequence preferences within and around their helical body, and also assisted in main- taining the helical structure within the bilayer. We found that Proline not only kinked the helical regions in a characteristic manner but also caused a tightening or unwinding in a helical region to form 310 and π-helix fragments respectively. The helix distortions also resulted in backbone hydrogen bonds to be missed which were stabilized by hydrogen bonds from neighboring residues mediated by their side chain atoms. Furthermore, a packing analysis showed that helical regions with distortions were able to establish inter-helical interactions with more number of transmembrane segments in the helical bundle. The study on helix perturbations presented in the previous chapter, brought to light a previously unreported 19 amino acid π-helix fragment interspersed between α-helices in the functionally important transmembrane helix 2 (TM2) belonging to Mitochondrial cytochrome-c-oxidase (1v55). Chapter 6 describes a case study of the structurally similar but functionally different members within the Heme-Copper- Superoxidases (HCO) superfamily that were considered for a comparative analysis of TM2. An analysis of 7 family members revealed that the π-helix shortens, fragments in two shorter π-helices or was even absent in some family members. The long π-helix significantly decreased the total twist and rise of the entire helical fragment thus accommodating more hydrophobic amino acids within the bilayer to avoid hydrophobic mismatch with the bilayer. The increased radius of the TM2 helical fragment also assisted in helix packing interactions by increasing the number of residues involved in helix-helix interactions and hydrogen bonds. Chapter 7 documents the conclusions from the different analyses presented in each of the above chapters. Overall, it is found that membrane proteins optimize the biophysical and chemical constraints of the external environment to strategically place select amino acids at helix termini to ‘start’ and ‘stop’ α-helices. The stabilization of these helix termini is a consequence of sequence dependent structural preferences to form helix capping motifs. The studies on helix transitions and distortions highlight that membrane proteins are not only packed as α-helices but also accomodate 310- and π-helical fragments. These transitions and distortions help in harboring more hydrophobic amino acids and aiding inter-helical interactions important for maintaining the fold of the membrane protein. Appendix A describes a comparison of α-helix assignments in globular and membrane proteins by two algorithms, one based on Cα trace (ASSP) and the other using a combination of hydrogen bond pattern along with backbone torsion angles φ and ψ (STRIDE).

Forschungsgegenstand war ein neuentwickeltes modulares Kassettensystem mit Hedera helix 'Woerner', das im Folgenden als hydroponische Nutzwand bezeichnet wurde. Die Lebensqualität in Ballungsräumen sinkt aufgrund von steigender Verdichtung. Stadtgrün verbessert die Lebensqualität und sorgt für lokale Klima- und Luftverbesserung. Allerdings besteht ein Nutzungskonflikt mit anderen Bebauungsvorhaben. Hier verspricht der Einsatz der hydroponischen Nutzwand ein hohes Potential, da das wandgebundene Fassadenbegrünungssystem weitgehend bodenunabhängig ist. Es erfolgte eine Studie zur Quantifizierung des Leistungspotenzials. Neben einer detaillierten Beschreibung des Kassettensystems und der Versuchsanlage, die eine nach Norden und eine nach Süden exponierte Nutzwand darstellte, erfolgte die Erstellung einer Wasserbilanz und eines abgeleiteten Bewässerungsplanes. Im Substrat wurden Untersuchungen zum Sauerstoffgehalt durchgeführt. Ebenso war auch die Wirkung auf das Bestandsklima ein wesentliches Kriterium, um das Kassettensystem zu beschreiben. Für die Leistungsabschätzung wurden Wachstumsanalysen zur Beschreibung der Pflanzenproduktion durchgeführt. Für einige Kassettenelemente wurde dabei im Wurzelraum ein Pflanzenstärkungsmittel mit Bacillus subtilis angewendet, mit dem Ziel, eine Wachstumssteigerung zu erreichen. In einem Austrocknungsversuch im Gewächshaus wurde der Effekt verschiedener Konzentrationen des Pflanzenstärkungsmittels auf eine erhöhte Stresstoleranz von Hedera helix 'Woerner' untersucht. Der Wasserhaushalt stellte einen gesonderten Schwerpunkt dar, bei dem zwei Ansätze zur Bewässerungssteuerung verfolgt wurden. Es erfolgte eine Modellierung der Evapotranspiration über Daten aus meteorologischen Messungen und Messungen zur Transpiration der Pflanzen im Bestand. In einem zweiten Ansatz wurden die Möglichkeiten der pflanzenbasierten Sensorik untersucht, wofür ein elektronischer Blattdickensensor zum Einsatz kam. Die Erkenntnisse aus der Dissertation sollten zeigen, welche Praxistauglichkeit eine hydroponische Nutzwand besitzt und ob sie lokal in der Lage ist, dem Problem sinkender Lebensqualität im städtischen Raum entgegenzuwirken.:I Inhaltsverzeichnis S. I II Abbildungsverzeichnis S. III III Tabellenverzeichnis S. X IV Formelverzeichnis S. XV V Abkürzungsverzeichnis S. XVII 1 Einleitung S. 1 2 Problemstellung S. 2 3 Zielsetzung S. 9 4 Kassettensystem S. 10 4.1 Material und Methoden S. 21 4.1.1 Versuchsanlage S. 21 4.1.2 Sauerstoffgehalt im Substrat S. 32 4.1.3 Mikroklimatische Einflüsse S. 34 4.2 Ergebnisse S. 43 4.2.1 Versuchsanlage S. 43 4.2.2 Sauerstoffgehalt im Substrat S. 49 4.2.3 Mikroklimatische Einflüsse S. 51 4.3 Diskussion S. 69 4.3.1 Versuchsanlage S. 70 4.3.2 Sauerstoffgehalt im Substrat S. 77 4.3.3 Mikroklimatische Einflüsse S. 78 4.4 Zusammenfassung S. 84 5 Wachstum S. 88 5.1 Material und Methoden S. 92 5.1.1 Wachstumsanalyse S. 92 5.1.2 Trockenstressversuch mit Bacillus subtilis FZB24® flüssig S. 102 5.2 Ergebnisse S. 108 5.2.1 Wachstumsanalysen S. 108 5.2.2 Trockenstressversuch mit Bacillus subtilis FZB24® flüssig S. 120 5.3 Diskussion S. 121 5.3.1 Wachstumsanalysen S. 121 5.3.2 Trockenstressversuch mit Bacillus subtilis FZB24® flüssig S. 125 5.4 Zusammenfassung S. 126 6 Wasserhaushalt S. 128 6.1 Material und Methoden S. 132 6.1.1 Transpiration von Einzelpflanzen S. 132 6.1.2 Evapotranspiration des Pflanzenbestandes S. 134 6.2 Ergebnisse S. 139 6.2.1 Transpiration von Einzelpflanzen S. 139 6.2.2 Evapotranspiration des Pflanzenbestandes S. 143 6.3 Diskussion S. 147 6.3.1 Transpiration von Einzelpflanzen S. 147 6.3.2 Evapotranspiration des Pflanzenbestandes S. 150 6.4 Exkurs Blattdickenmessung S. 151 6.5 Zusammenfassung S. 158 7 Schlussfolgerungen S. 161 8 Anhang Abbildungen S. 165 9 Anhang Tabellen S. 176 10 Literaturverzeichnis S. 191

Voltage-gated ion channels play fundamental roles in neural excitability and thus dysfunctional channels can cause disease. Understanding how the voltage-sensor of these channels activate and inactivate could potentially be useful in future drug design of compounds targeting neuronal excitability. The opening and closing of the pore in voltage-gated ion channels is caused by the arginine-rich S4 helix of the voltage sensor domain (VSD) moving in response to an external potential. Exactly how this movement is accomplished is not yet fully known and an area of hot debate. In this thesis I study how the opening and closing in voltage-gated potassium (Kv) channels occurs. Recently, both experimental and computational results have pointed to the possibility of a secondary structure transition from α- to 3(10)-helix in S4 being an important part of the gating. First, I show that the 3(10)-helix structure in the S4 helix of a Kv1.2-2.1 chimera protein is significantly more favorable compared to the α-helix in terms of a lower free energy barrier during the gating motion. Additional I suggest a new gating model for S4, moving as sliding 310-helix. Interestingly, the single most conserved residue in voltage- gated ion channels is a phenylalanine located in the hydrophobic core and directly facing S4 causing a barrier for the gating charges. In a second study, I address the problem of the energy barrier and show that mutations of the phenylalanine directly alter the free energy barrier of the open to closed transition for S4. Mutations can either facilitate the relaxation of the voltage-sensor or increase the free energy barrier, depending on the size of the mutant. These results are confirmed by new experimental data that supports that a rigid, cyclic ring at the phenylalanine position is the determining rate-limiting factor for the voltage sensor gating process. / QC 20110616