Master of Science / Department of Biochemistry / Jianhan Chen / Paul E. Smith / Intrinsically disordered proteins have been shown to be important in many physiological processes, including cell signaling, translation, and transcription. They are also associated with cancer, and neurodegenerative diseases. The tumor suppressor p53 contains several disordered regions, including the C-terminal negative regulatory domain (NRD). In cancer the function of p53 has been shown to be repressed by S100B(ββ) binding to p53-NRD. Binding of S100B(ββ) blocks acetylation and phosphorylation sites in the p53-NRD, which leads to tetramer dissociation and prevents p53 activation. NMR studies have shown that p53-NRD binds S100B(ββ) in a stable α-helix conformation. Interestingly, despite the well-converged and apparent rigid nature of the NMR structure ensemble, a majority of intermolecular NOEs used to calculate the NMR ensemble are very weak (≥6 Å). The final NMR structures also contains unsatisfied buried charged residues at the binding interface. It’s plausible that the p53-S100B(ββ) complex is more dynamic than previously believed. The goal of the study is to determine the potential conformational heterogeneity in p53-S100B(ββ) complex using molecular modeling. For this, five diverse structures were selected from the 40-member NMR ensemble. For each initial conformation, we performed 100 ns molecular dynamic simulations in explicit solvent to explore the structure and dynamics of the p53-NRD in complex with S100B(ββ). Several analytical tools were used to characterize the p53-NRD conformation, including root-mean squared deviation (RMSD), root-mean squared fluctuation (RMSF), and residue helicity. The accuracy of the simulations was mainly assessed by comparing with experimental NOEs. The results show that, even though the ensemble is heterogeneous it satisfies 82% of the experimental NOEs. Clustering analysis further suggests that many conformational sub-states coexist for this complex, and individual clusters appear to satisfy only subsets of NOE distances. Importantly, the buried surface analysis demonstrates that the heterogeneous ensemble generated from MD provides similar shielding of key residues, which include post-translational modification residues needed for p53 activation. This study also demonstrates that atomistic simulations can provide important insights into structure and dynamics of IDPs for understanding their biological function.

No description available.

Dehydrins are intrinsically disordered plant stress-proteins. Repetitively in their sequence are some highly conserved stretches of 7-17 residues, the so called K-, S-, Y- and lysine rich segments. This thesis aims to give insight into the possible role dehydrins have in the stressed plant cell with main focus on membrane interaction and protection. The work includes four recombinant dehydrins from the plant Arabidopsis thaliana: Cor47 (SK3), Lti29 (SK3), Lti30 (K6) and Rab18 (Y2SK2). Initially, we mimicked crowded cellular environment in vitro to verify that dehydrins are truly disordered proteins. Thereafter, the proposal that the compulsory K-segment determines membrane binding was tested. Experiments show that only Lti30 and Rab18 bind, whereas Cor47 and Lti29 does not. As Lti30 and Rab18 binds they assembles vesicles into clusters in vitro, a feature used to characterize the interaction. From this it was shown that membrane binding of Lti30 is electrostatic and determined by global as well as local charges. Protonation of histidine pairs flanking the K-segments works as an on/off-binding switch. By NMR studies it was shown that the K-segments form a dynamic α-helix upon binding, so called disorder-to-order behaviour. Also, dehydrins electrostatic interaction with lipids can be further tuned by posttranslational phosphorylation or coordination of calcium and zinc ions. Finally, specific binding of Rab18 to inositol lipids, mainly PI(4,5)P2, is reported. The interaction is mainly coordinated by two arginines neighboring one of the K-segments. In conclusion, the K-segments are indeed involved in the binding of dehydrins to membrane but only in combination with extensions (Lti30) or modified (Rab18). / <p>At the time of the doctoral defense, the following papers were unpublished and had a status as follows: Paper 4: Manuscript. Paper 5: Manuscript.</p>

For half a century, the central tenet of protein science has been grounded on the idea that the three-dimensional structure of a protein underlies its function. However, increasing evidence of natively unstructured but functional proteins is accumulating. Termed as intrinsically disordered proteins (IDPs), they populate a number of different conformations in isolation. Interestingly, as part of their function, some IDPs become fully or partly structured upon interaction with their binding partners. This process, known as coupled folding and binding raises the question what comes first - folding of the IDP or binding to its partner protein followed by folding. This thesis focuses on understanding the role of disorder in protein- protein interactions using biophysical characterization. Over-representation of IDPs in complex network and signalling pathways emphasizes the importance of disorder. Conformational flexibility in IDPs facilitates post-translational modifications, which provides a neat way to modulate the residual structure. This can alter affinity of IDPs to their partners and it is speculated that bound like structures of IDPs speed association. The impact of phosphorylation was explored in the KID/KIX system: phosphorylation modulates only the dissociation kinetics increasing the lifetime of the bound complex, which may be important in signalling processes. Further, phi-value analysis applied to investigate the mechanism of interaction reveals that non-native interactions play a key role in this reaction, before the IDP consolidates its final structure in the bound complex. Promiscuous interaction of IDPs with their partners often results in complexes with differing affinities. Members of BCL-2 family were explored, and the results indicate that IDPs bind to the same partner protein with marginal variation in the association rates, but significant differences in dissociation rates are observed. Thus, it seems that in such homologous but competing network of proteins, disorder facilitates complexes with differing affinities by modulating dissociation rate, again altering the lifetime of the bound complex. The work presented here demonstrates that disorder plays a role in altering complex lifetimes. Perhaps being disordered permits a level of plasticity to IDPs to adapt the rates at which they bind/unbind to many target proteins. This may be why disorder is conserved and abundant in proteins involved in intricate signalling networks.

Conformational ensembles are models of proteins that capture variations in conformation that result from thermal fluctuations. Ensemble based models are important tools for studying Intrinsically Disordered Proteins (IDPs), which adopt a heterogeneous set of conformations in solution. In order to construct an ensemble that provides an accurate model for a protein, one must identify a set of conformations, and their relative stabilities, that agree with experimental data. Inferring the characteristics of an ensemble for an IDP is a problem plagued by degeneracy; that is, one can typically construct many different ensembles that agree with any given set of experimental measurements. In light of this problem, this thesis will introduce three tools for characterizing ensembles: (1) an algorithm for modeling ensembles that provides estimates for the uncertainty in the resulting model, (2) a fast algorithm for constructing ensembles for large or complex IDPs and (3) a measure of the degree of disorder in an ensemble. Our hypothesis is that a protein can be accurately modeled as an ensemble only when the degeneracy of the model is appropriately accounted for. We demonstrate these methods by constructing ensembles for K18 tau protein, \(\alpha\)-synuclein and amyloid beta - IDPs that are implicated in the pathogenesis of Alzheimer's and Parkinson's diseases.

Doctor of Philosophy / Department of Biochemistry and Molecular Biophysics / Jianhan Chen / Intrinsically disordered proteins (IDPs) are functional proteins that lack stable tertiary structures under physiological conditions. IDPs are key components of regulatory networks that dictate various aspects of cellular decision-making, and are over-represented in major disease pathways. For example, about 30% of eukaryotic proteins contain intrinsic disordered regions, and over 70% of cancer-associated proteins have been identified as IDPs. The highly heterogeneous nature of IDPs has presented significant challenge for experimental characterization using NMR, X-ray crystallography, or FRET. These challenges represent a unique opportunity for molecular mod- eling to make critical contributions. In this study, computer simulations at multiple scales were utilized to characterize the structural properties of unbound IDPs as well as to obtain a mechanistic understanding of IDP interactions. These studies of IDPs also reveal significant limitations in the current simulation methodology. In particular, successful simulations of biomolecules not only require accurate molecular models, but also depend on the ability to sufficiently sample the com- plex conformational space. By designing a realistic yet computationally tractable coarse-grained protein model, we demonstrated that the popular temperature replica exchange enhanced sampling is ineffective in driving faster reversible folding transitions for proteins. The second original contribution of this dissertation is the development of novel simulation methods for enhanced sampling of protein conformations, specifically, replica exchange with guided-annealing (RE-GA) method and multiscale enhanced sampling (MSES) method. We expect these methods to be highly useful in generating converged conformational ensembles.

Intrinsically disordered proteins (IDPs) do not form stable tertiary structures like their ordered partners. They exist as heterogeneous ensembles that fluctuate over a time scale. Intrinsically disordered regions and proteins are found across different phyla and exert crucial biological functions. They exhibit transient secondary structures in their free state and become folded upon binding to their protein partners via a mechanism called coupled folding and binding. Some IDPs form alpha helices when bound to their protein partners. We observed a set of cancer associated IDPs where the helical binding segments of IDPs are flanked by prolines on both the sides. Helix-breaking prolines are frequently found in IDPs flanking the binding segment and are evolutionarily conserved across phyla. Two studies have shown that helix flanking prolines modulate the function of IDPs by regulating the levels of disorder in their free state and in turn regulating the binding affinities to their partners. We aimed to study if this is a common phenomenon in IDPs that exhibit similar pattern in the conservation of helix flanking prolines. We chose to test the hypothesis in c-Myb-KIX : IDP-target system in which the disordered protein exhibits high residual helicity levels in its free state. c-Myb is a hematopoietic regulator that plays a crucial role in cancer by binding to the KIX domain of CBP. Studying the functional regulation of c-Myb by modulating the disorder levels in c-Myb and in IDPs in general provides a better understanding of the way IDPs function and can be used in therapeutic strategies as IDPs are known to be involved in regulating various cellular processes and diseases. To study the effect of conserved helix flanking prolines on the residual helicity levels of c-Myb and its binding affinity to the KIX domain of CBP, we mutated the prolines to alanines. Mutating prolines to alanines increased the helicity levels of c-Myb in its free state. This small increase in the helicity levels of a highly helical c-Myb showed almost no effect on the binding affinity between cMyb and KIX. We hypothesized that there is a helical threshold for coupled folding and binding beyond which helicity levels of the free state IDP have no effect on its binding to their ordered protein partner. To test this hypothesis, we mutated solvent exposed amino acid residues in c-Myb that reduce its overall helicity and studied its effect on the binding affinity between c-Myb and KIX. Over a broad range of reduction in helicity levels of the free state did not show an effect on the binding affinity but beyond a certain level, decrease in helicity levels showed pronounced effects on the binding affinity between c-Myb and KIX.

in numerous disease states, including cancers and neurodegenerative diseases. All proteins are dynamic in nature, occupying a range of conformational flexibilities. This inherent flexibility is required for their function, with ordered proteins and IDPs representing the least flexible, and most flexible, respectively. As such IDPs possess little to no stable tertiary or secondary structure, they instead form broad ensembles of heterogeneous structures, which fluctuate over multiple time scales. Although IDPs often lack stable secondary structure they can assume a more stable structure in the presence of their binding partners in a coupled folding binding reaction. The phenomenon of the dynamic behavior of IDPs is believed to confer several functional advantages but remains poorly understood. To that end the dynamic and structural properties of a family of IDPs - p53 transactivation domains (TAD) was measured and compared with the sequence divergence. Interestingly we were able to find stronger correlations between the dynamic properties and the sequence divergence than between the structure and sequence, suggesting that the dynamic properties are the primary trait being xiii conserved by evolution. These correlations were strongest within clusters of the IDPs that correlated with known protein binding sites. Additionally, we show strong correlations between the several available disorder predictors and the backbone dynamics of this family of IDPs. This indicates the potential of predicting the dynamic behavior of proteins, which may be beneficial in future drug design. The limited number of atomic models currently determined for IDPs hampers understanding of how their amino acid sequences dictate the structural ensembles they adopt. The current dearth of atomic models for IDPs makes it difficult to test the following hypotheses: 1. The structural ensembles of IDPs are dictated by local interactions. 2. The structural ensembles of IDPs will be similar above a certain sequence identity threshold. Based on the premise that sequence determines structure, structural ensembles were determined and compared for a set of homologous IDPs. Utilizing orthologues allows for the identification of important structural features and behaviors by virtue of their conservation. A new methodology of creating ensembles was implemented that broadly samples conformational space. This allowed us to find recurring local structural features within the structural ensembles even between the more distantly related homologues that were processed. This method of ensemble creation is also the first method to show convergence of secondary structural characteristics between discrete ensembles.

No description available.

Decades have passed since the realisation that a protein’s amino acid sequence can contain all the information required to form a complex three-dimensional fold. Until recently, these encoded structures were thought to be crucial determinants of protein function. Much effort was directed to fully understand the mechanisms behind how and why proteins fold, with natively unfolded proteins thought to be experimental artefacts. Today, the field of natively unfolded – or so-called intrinsically disordered – proteins, is rapidly developing. Protein disorder content has been positively correlated with organismal complexity, with over thirty percent of eukaryotic proteins predicted to contain disordered regions. However, the biophysical consequences of disorder are yet to be fully determined. With the aim of addressing some of the outstanding questions, the work described in this thesis focuses on the relevance of structure within disordered proteins. Whilst populating a variety of conformations in isolation, a subset of disordered proteins can fold upon binding to a partner macromolecule. This folded state may be present within the ensemble of conformations sampled by the unbound protein, opening the question of what comes first: folding or binding? Protein engineering techniques were employed to alter the level of residual ‘bound-like’ structure within the free conformational ensemble, and the consequences on coupled folding and binding reactions were investigated. Resultant changes in the rate of association are easily imaginable; yet, this work demonstrates that the majority of the observed changes in binding affinity were due to alterations in the rate of dissociation, thus altering the lifetime of the bound complex. Promiscuous binding is a touted advantage of being disordered. If many disordered proteins, each with their own conformational ensemble, can bind and fold to the same partner, then where is the folding component encoded? Does the partner protein template the folding reaction? Or, is the folding information contained within the disordered protein sequence? Utilising phi-value analysis on the BCL-2 family of proteins, residues in the disordered sequence were probed to ascertain which form contacts at the transition state of the reaction. Comparison with phi-value analyses of alternative pairs – sharing either the ordered or disordered protein – provides insight into the encoding of these interactions. In the context of a bimolecular reaction, the amino acid sequence of the disordered protein was shown to determine the interactions within the transition state. Thus, analogous to the discovery from decades’ past, it is the sequence of the protein that folds which encodes its pathway, even when binding is a prerequisite.