Dissertation/ Thesis

Biophysical studies: Interaction of the Aptamer-protein complexes

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Biophysical studies: Interaction of the Aptamer-protein complexes
Συγγραφείς: Heredia Negron, Frances L.
Συνεισφορές: Parés-Matos, Elsie I., College of Arts and Sciences - Sciences, Bauer, William, Ríos-Steiner, Jorge, Ríos-Guillet, Robert, Resto-Irizarry, Pedro J., Department of Chemistry, Rúa de la Asunción, Armando
Έτος έκδοσης: 2022
Συλλογή: Digital Institutional Repository @UPR (University of Puerto Rico - DiRe.UPR)
Θεματικοί όροι: Aptamer, Biosensors, DNA crystallography, Aptamer-protein complexes, Aptamer’s machine learning, Nucleotides - Analysis, Nucleotide sequence - Data processing, X-ray crystallography, Machine learning, Protein binding
Περιγραφή: Aptamers are synthetic nucleotides used as probes for a plethora of molecules. Their applications include therapeutics, biosensors, drug delivery, among others. Aptamers bind strongly and selectively to a target because of their ability to adopt different three-dimensional structures that form complementary shapes that fit very well into the recognition site. To understand the binding mechanism of Aptamers and to optimize the design of Aptamer-based technologies, it is necessary to understand the details of the Aptamer folding and target interactions from a structural perspective. Unfortunately, while the number of publications of Aptamer applications keeps growing, there is scant research on Aptamers from a structural perspective. This dissertation addresses that knowledge gap by employing two different approaches. The structural characterization of a DNA Aptamer-protein complex using X-ray Crystallography, and the analysis and identification of common patterns within Aptamer sequences using Machine Learning (ML). Two DNA Aptamer-protein pairs were chosen for characterization by X-ray Crystallography: IBA-Insulin and LyApt-Lysozyme. The analysis of the interaction between the DNA Aptamer IBA and Insulin suggests that this Aptamer binds to its target trough the induced-fit model, stabilized by hydrophobic, electrostatic, and non-covalent interactions. Meanwhile in the crystal structure of the DNA Aptamer LyApt and Lysozyme, the Aptamer shows a lack of a folding motif, and the stability of the complex is mainly driven by non-covalent interactions, thus forcing the Aptamer to bind the Lysozyme's heparin binding sites. In both cases, these DNA Aptamers are binding to “hot-spots” within the target proteins. In machine learning analyses, DNA sequences were broken into six nucleotide motifs called 6-mers. From their modeling, it was found that Aptamers have a high “GT” content and the 6-mers with the highest relevance across all ML models were TGG TGG, TGG GGG, GGG GTG, GGT TGG, GCA CAG and GGG GGG. These six 6-mers ...
Τύπος εγγράφου: doctoral or postdoctoral thesis
Περιγραφή αρχείου: application/pdf
Γλώσσα: English
Relation: https://hdl.handle.net/20.500.11801/2908
Διαθεσιμότητα: https://hdl.handle.net/20.500.11801/2908
Rights: Attribution-NonCommercial-NoDerivs 3.0 United States ; (c) 2022 Frances L. Heredia Negron ; http://creativecommons.org/licenses/by-nc-nd/3.0/us/
Αριθμός Καταχώρησης: edsbas.F12FE021
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Items – Name: Title
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  Data: Biophysical studies: Interaction of the Aptamer-protein complexes
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  Data: <searchLink fieldCode="AR" term="%22Heredia+Negron%2C+Frances+L%2E%22">Heredia Negron, Frances L.</searchLink>
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  Label: Contributors
  Group: Au
  Data: Parés-Matos, Elsie I.<br />College of Arts and Sciences - Sciences<br />Bauer, William<br />Ríos-Steiner, Jorge<br />Ríos-Guillet, Robert<br />Resto-Irizarry, Pedro J.<br />Department of Chemistry<br />Rúa de la Asunción, Armando
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  Label: Publication Year
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  Data: 2022
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  Data: Digital Institutional Repository @UPR (University of Puerto Rico - DiRe.UPR)
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  Data: <searchLink fieldCode="DE" term="%22Aptamer%22">Aptamer</searchLink><br /><searchLink fieldCode="DE" term="%22Biosensors%22">Biosensors</searchLink><br /><searchLink fieldCode="DE" term="%22DNA+crystallography%22">DNA crystallography</searchLink><br /><searchLink fieldCode="DE" term="%22Aptamer-protein+complexes%22">Aptamer-protein complexes</searchLink><br /><searchLink fieldCode="DE" term="%22Aptamer%27s+machine+learning%22">Aptamer’s machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Nucleotides+-+Analysis%22">Nucleotides - Analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Nucleotide+sequence+-+Data+processing%22">Nucleotide sequence - Data processing</searchLink><br /><searchLink fieldCode="DE" term="%22X-ray+crystallography%22">X-ray crystallography</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink><br /><searchLink fieldCode="DE" term="%22Protein+binding%22">Protein binding</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: Aptamers are synthetic nucleotides used as probes for a plethora of molecules. Their applications include therapeutics, biosensors, drug delivery, among others. Aptamers bind strongly and selectively to a target because of their ability to adopt different three-dimensional structures that form complementary shapes that fit very well into the recognition site. To understand the binding mechanism of Aptamers and to optimize the design of Aptamer-based technologies, it is necessary to understand the details of the Aptamer folding and target interactions from a structural perspective. Unfortunately, while the number of publications of Aptamer applications keeps growing, there is scant research on Aptamers from a structural perspective. This dissertation addresses that knowledge gap by employing two different approaches. The structural characterization of a DNA Aptamer-protein complex using X-ray Crystallography, and the analysis and identification of common patterns within Aptamer sequences using Machine Learning (ML). Two DNA Aptamer-protein pairs were chosen for characterization by X-ray Crystallography: IBA-Insulin and LyApt-Lysozyme. The analysis of the interaction between the DNA Aptamer IBA and Insulin suggests that this Aptamer binds to its target trough the induced-fit model, stabilized by hydrophobic, electrostatic, and non-covalent interactions. Meanwhile in the crystal structure of the DNA Aptamer LyApt and Lysozyme, the Aptamer shows a lack of a folding motif, and the stability of the complex is mainly driven by non-covalent interactions, thus forcing the Aptamer to bind the Lysozyme's heparin binding sites. In both cases, these DNA Aptamers are binding to “hot-spots” within the target proteins. In machine learning analyses, DNA sequences were broken into six nucleotide motifs called 6-mers. From their modeling, it was found that Aptamers have a high “GT” content and the 6-mers with the highest relevance across all ML models were TGG TGG, TGG GGG, GGG GTG, GGT TGG, GCA CAG and GGG GGG. These six 6-mers ...
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  Data: https://hdl.handle.net/20.500.11801/2908
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  Data: Attribution-NonCommercial-NoDerivs 3.0 United States ; (c) 2022 Frances L. Heredia Negron ; http://creativecommons.org/licenses/by-nc-nd/3.0/us/
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Aptamer
        Type: general
      – SubjectFull: Biosensors
        Type: general
      – SubjectFull: DNA crystallography
        Type: general
      – SubjectFull: Aptamer-protein complexes
        Type: general
      – SubjectFull: Aptamer’s machine learning
        Type: general
      – SubjectFull: Nucleotides - Analysis
        Type: general
      – SubjectFull: Nucleotide sequence - Data processing
        Type: general
      – SubjectFull: X-ray crystallography
        Type: general
      – SubjectFull: Machine learning
        Type: general
      – SubjectFull: Protein binding
        Type: general
    Titles:
      – TitleFull: Biophysical studies: Interaction of the Aptamer-protein complexes
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              Type: published
              Y: 2022
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