Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 245 for “"Protein Function"”.
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Protonation and Membrane Protein Function
… state of a titratable residue embedded in a protein environment can differ from its default value in bulk water at neutral pH. It is thus necessary to correctly evaluate its protonation state in order to generate meaningful reaction models in in-silico experiments. Such evaluations are …
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PROTEIN FUNCTION, DIVERISTY AND FUNCTIONAL INTERPLAY
Functional annotations of novel or unknown proteins is one of the central problems in post-genomics bioinformatics research. With the vast expansion of genomic and proteomic data and technologies over the last decade, development of automated function prediction (AFP) methods for large-scale …
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Protein Function Prediction Using Graph Convolutional Network
This project advances protein function prediction by integrating protein language models (PLMs) and graph convolutional networks (GCNs), addressing the limitations of traditional methods that rely heavily on sequence similarity. The proposed model leverages diverse protein features, including …
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Peering into Candida albicans pir protein function
… cell wall, which primarily is comprised of protein and polymeric carbohydrate, maintains cell structure and protects the fungal cell from the environment. Cell wall structure is an avid field of study because the cell wall is an important antifungal drug target. Pir proteins (proteins with …
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Sequence comparison and the prediction of protein function
Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Biology, 1986.
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Leveraging expression and network data for protein function prediction
Protein function prediction is one of the prominent problems in bioinformatics today. Protein annotation is slowly falling behind as more and more genomes are being sequenced. Experimental methods are expensive and time consuming, which leaves computational methods to fill the gap. While …
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Local and global investigations into DEAD-box protein function
… most RNAs become kinetically trapped in non-functional misfolded states that render them inactive on a biologically-relevant time scale, RNAs folding in vivo do not share this same outcome. RNAs do indeed misfold in the cell; however, chaperone proteins promote escape from these non-native …
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Protein structure prediction and structure-based protein function annotation
Nature tends to modify rather than invent function of protein molecules, and the log of the modifications is encrypted in the gene sequence. Analysis of these modification events in evolutionarily related genes is important for assigning function to hypothetical genes and their products surging in …
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Genomic Language Models for Protein Function and Property Prediction
… success modeling biological data, including protein, mRNA and genomic sequences. Representations from biological language models have also outperformed highly specialized models, especially in data-scarce scenarios. How- ever, since the genome contains all of the information encoding …
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Insights into protein function from evolutionary and conformational dynamics
The volume of protein structure data has grown rapidly over the past 30 years, leaving a wake of facts that still require explanation. We endeavored to answer a few open questions on the structure-function relationship of intriguing mechanochemical protein systems. To this end this thesis work …
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Prediction of Protein Function Using Statistically Significant Sub-Structure Discovery
Proteins perform a vast number of functional roles. The number of protein structures available for analysis continues to grow and, with the development of methods to predict protein structure directly from genetic sequence without imaging technology, the number of structures with unknown function …
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The genetic and biochemical analysis of Drosophila Wwox protein function.
… identified and subjected to targeted ‘loss of function’ mutagenesis. The resulting mutants were found to be viable when homozygous with no obvious defects in the adult fly. As Wwox mutant flies were found to exhibit an increased sensitivity to ionising radiation (IR), a number of Wwox proteins …
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Accurate Protein Function Prediction with Graph Transformer-Based Function Localization
Protein function prediction is a fundamental challenge in biology, crucial for understanding biological processes, disease mechanisms, and accelerating drug discovery. While computational methods leveraging sequence or structural information have advanced, accurately translating protein structure …
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Interfacial modulation of protein function explored through atomistic molecular dynamics simulation
… repeated insertion of the peripheral membrane protein α-synuclein shows larger conformational variability in the HMMM than was observed in conventional bilayers. Separately, simulations of C2 domain binding of synaptogamin (Syt) to the HMMM demonstrate clear differences in the binding …
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Role of lipid-protein interactions in modulating the membrane protein function
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2024-12-01
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Hierarchical multi-label classification for protein function prediction going beyond traditional approaches
… that are in turn organized in a hierarchy. Functional classification of genes is a challenging problem in functional genomics due to several reasons. First, each gene participates in multiple biological activities. Hence, prediction models should support multi-label classification. Second, …
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Effects of Cysteine Modification on Microtubule-Motor Protein Function and Tubulin Assembly
… modification is a powerful technique for probing functionally important amino acids. N-ethylmaleimide (NEM) reacts readily with exposed sulfhydryl groups, and has previously been shown to inhibit the activity of MT-motor proteins and tubulin assembly. This project seeks to investigate the …
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Genome data analysis, protein function and structure prediction by machine learning techniques
… them, and extract useful structure and function information, such as the function of genes, the structure of proteins encoded by gene, and the function of proteins. Understanding these information is crucial for us to improve longevity and quality of life, and has a lot of applications, …
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