| 1. |
- Shu, Nanjiang, 1981-
(author)
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Prediction of zinc-binding sites in proteins and efficient protein structure description and comparison
- 2008
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Licentiate thesis (other academic/artistic)abstract
- A large number of proteins require certain metals to stabilize their structures or to function properly. About one third of all proteins in the Protein Data Bank (PDB) contain metals and it is estimated that approximately the same proportion of all proteins are metalloproteins. Zinc, the second most abundant transition metal found in eukaryotic organisms, plays key roles, mainly structural and catalytic, in many biological functions. Predicting whether a protein binds zinc and even the accurate location of binding sites is important when investigating the function of an experimentally uncharacterized protein. Describing and comparing protein structures with both efficiency and accuracy are essential for systematic annotation of functional properties of proteins, be it on an individual or on a genome scale. Dozens of structure comparison methods have been developed in the past decades. In recent years, several research groups have endeavoured in developing methods for fast comparison of protein structures by representing the three-dimensional (3D) protein structures as one-dimensional (1D) geometrical strings based on the shape symbols of clustered regions of φ/ψ torsion angle pairs of the polypeptide backbones. These 1D geometrical strings, shape strings, are as compact as 1D secondary structures but carry more elaborate structural information in loop regions and thus are more suitable for fast structure database searching, classification of loop regions and evaluation of model structures. In this thesis, a new method for predicting zinc-binding sites in proteins from amino acid sequences is described. This method predicts zinc-binding Cys, His, Asp and Glu (the four most common zinc-binding residues) with 75% precision (86% for Cys and His only) at 50% recall according to a solid 5-fold cross-validation on a non-redundant set of the PDB chains containing 2727 unique chains, of which 235 bind to zinc. This method predicts zinc-binding Cys and His with about 10% higher precision at different recall levels compared to a previously published method. In addition, different methods for describing and comparing protein structures are reviewed. Some recently developed methods based on 1D geometrical representation of backbone structures are emphasized and analyzed in details.
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| 2. |
- Shu, Nanjiang, 1981-
(author)
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Protein structure prediction : Zinc-binding sites, one-dimensional structure and remote homology
- 2010
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Doctoral thesis (other academic/artistic)abstract
- Predicting the three-dimensional (3D) structure of proteins is a central problem in biology. These computationally predicted 3D protein structures have been successfully applied in many fields of biomedicine, e.g. family assignments and drug discovery. The accurate detection of remotely homologous templates is critical for the successful prediction of the 3D structure of proteins. Also, the prediction of one-dimensional (1D) protein structures such as secondary structures and shape strings are useful for predicting the 3D structure of proteins and important for understanding the sequence-structure relationship. In addition, the prediction of the functional sites of proteins, such as metal-binding sites, can not only reveal the important function of proteins (even in the absence of the 3D structure) but also facilitate the prediction of the 3D structure. Here, three novel methods in the field of protein structure prediction are presented: PREDZINC, a method for predicting zinc-binding sites in proteins; Frag1D, a method for predicting the 1D structure of proteins; and FragMatch, a method for detecting remotely homologous proteins. These methods compete satisfactorily with the best methods previously published and contribute to the task of protein structure prediction.
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| 3. |
- Ohlson, Tomas, 1977-
(author)
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The use of evolutionary information in protein alignments and homology identification
- 2006
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Doctoral thesis (other academic/artistic)abstract
- For the vast majority of proteins no experimental information about the three-dimensional structure is known, but only its sequence. Therefore, the easiest way to obtain some understanding of the structure and function of these proteins is by relating them to well studied proteins. This can be done by searching for homologous proteins. It is easy to identify a homologous sequence if the sequence identity is above 30%. However, if the sequence identity drops below 30% then more sophisticated methods have to be used. These methods often use evolutionary information about the sequences, which makes it possible to identify homologous sequences with a low sequence identity.In order to build a three--dimensional model from the sequence based on a protein structure the two sequences have to be aligned. Here the aligned residues serve as a first approximation of the structure.This thesis focuses on the development of fold recognition and alignment methods based on evolutionary information. The use of evolutionary information for both query and target proteins was shown to improve both recognition and alignments. In a benchmark of profile--profile methods it was shown that the probabilistic methods were best, although the difference between several of the methods was quite small once optimal gap-penalties were used. An artificial neural network based alignment method ProfNet was shown to be at least as good as the best profile--profile method, and by adding information from a self-organising map and predicted secondary structure we were able to further improve ProfNet.
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| 4. |
- Todde, Guido, 1981-
(author)
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Exploring Protein Functions by Molecular Modelling
- 2015
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Doctoral thesis (other academic/artistic)abstract
- Proteins are one of the most important families of biological macromolecules. Proteins can assume many different structures. This makes them perfect to serve a wide range of functions in all organisms. In the last decades, molecular modeling has become an important and powerful tool in the investigation of biological systems. Adopting different computational methods many protein functions and structure related problems can be explored.This thesis focuses on three different protein issues. The structural changes induced by high temperature on a large enzyme were investigated simulating the denaturation of glucose oxidase. Molecular dynamics (MD) simulations at different high temperatures were performed. The transition state of the denaturation process was found and the relative ensemble of structures characterized. Different protein properties were analyzed and found in agreement with experimental and theoretical data. Moreover the breaking points of the protein were localized and point mutations on the protein sequence were suggested.Antifreeze proteins (AFP) allow different organisms to survive in subzero environments. These proteins lower the freezing point of physiological fluids. MD simulations of the snow flea AFP (sfAFP) in water have shown partial instability of the protein structure. When attached to different ice planes at the ice/water interface, the sfAFP induces local ice melting. AFPs are divided into two categories: hyperactive and moderately active depending on their antifreeze power. The water diffusion profile of ice/water systems containing one protein from each family were compared. The ice/water interface width was found to be broadened to different extent by the two proteins, while a control protein (ubiquitin) did not affect the interface thickness.Hemoglobin is the oxygen carrier in all vertebrates. Mutation along the protein sequence can alter the protein functionality and its capability of binding molecular oxygen. Density Functional Theory methods were applied in the calculation of the oxygen binding energy of the wild type hemoglobin and four other variants. Evaluations on the electronic structures and on the binding energies of the different hemoglobin variants suggest that perhaps none of the mutated hemoglibins efficiently bind oxygen.
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| 5. |
- Wang, Lixiao, 1975-
(author)
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From protein sequence to structural instability and disease
- 2010
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Doctoral thesis (other academic/artistic)abstract
- A great challenge in bioinformatics is to accurately predict protein structure and function from its amino acid sequence, including annotation of protein domains, identification of protein disordered regions and detecting protein stability changes resulting from amino acid mutations. The combination of bioinformatics, genomics and proteomics becomes essential for the investigation of biological, cellular and molecular aspects of disease, and therefore can greatly contribute to the understanding of protein structures and facilitating drug discovery. In this thesis, a PREDICTOR, which consists of three machine learning methods applied to three different but related structure bioinformatics tasks, is presented: using profile Hidden Markov Models (HMMs) to identify remote sequence homologues, on the basis of protein domains; predicting order and disorder in proteins using Conditional Random Fields (CRFs); applying Support Vector Machines (SVMs) to detect protein stability changes due to single mutation. To facilitate structural instability and disease studies, these methods are implemented in three web servers: FISH, OnD-CRF and ProSMS, respectively. For FISH, most of the work presented in the thesis focuses on the design and construction of the web-server. The server is based on a collection of structure-anchored hidden Markov models (saHMM), which are used to identify structural similarity on the protein domain level. For the order and disorder prediction server, OnD-CRF, I implemented two schemes to alleviate the imbalance problem between ordered and disordered amino acids in the training dataset. One uses pruning of the protein sequence in order to obtain a balanced training dataset. The other tries to find the optimal p-value cut-off for discriminating between ordered and disordered amino acids. Both these schemes enhance the sensitivity of detecting disordered amino acids in proteins. In addition, the output from the OnD-CRF web server can also be used to identify flexible regions, as well as predicting the effect of mutations on protein stability. For ProSMS, we propose, after careful evaluation with different methods, a clustered by homology and a non-clustered model for a three-state classification of protein stability changes due to single amino acid mutations. Results for the non-clustered model reveal that the sequence-only based prediction accuracy is comparable to the accuracy based on protein 3D structure information. In the case of the clustered model, however, the prediction accuracy is significantly improved when protein tertiary structure information, in form of local environmental conditions, is included. Comparing the prediction accuracies for the two models indicates that the prediction of mutation stability of proteins that are not homologous is still a challenging task. Benchmarking results show that, as stand-alone programs, these predictors can be comparable or superior to previously established predictors. Combined into a program package, these mutually complementary predictors will facilitate the understanding of structural instability and disease from protein sequence.
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| 6. |
- Almqvist, Jonas, 1975-
(author)
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Structural modeling of membrane transporter proteins
- 2008
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Doctoral thesis (other academic/artistic)abstract
- A fundamental process of all living organisms - the transport of molecules across cellular membranes through membrane transport proteins - is investigated.After a brief review of general properties of biological membranes follows a recollection of the major methods of membrane transport that Nature utilizes (Chapter 1). This is followed by a description of important experimental (Chapter 2) and theoretical methods (Chapter 3) for structural studies of membrane proteins. The findings on membrane protein transport in papers I-IV are then summarized (Chapter 4) and important findings are discussed. The remaining text is a discussion on relevant theoretical and experimental methods.
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