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- All Subjects: Biophysics
Description
The world today needs novel solutions to address current challenges in areas spanning areas from sustainable manufacturing to healthcare, and biotechnology offers the potential to help address some of these issues. One tool that offers opportunities across multiple industries is the use of nonribosomal peptide synthases (NRPSs). These are modular biological factories with individualized subunits that function in concert to create novel peptides.One element at the heart of environmental health debates today is plastics. Biodegradable alternatives for petroleum-based plastics is a necessity. One NRPS, cyanophycin synthetase (CphA), can produce cyanophycin grana protein (CGP), a polymer composed of a poly-aspartic acid backbone with arginine side chains. The aspartic backbone has the potential to replace synthetic polyacrylate, although current production costs are prohibitive. In Chapter 2, a CphA variant from Tatumella morbirosei is characterized, that produces up to 3x more CGP than other known variants, and shows high iCGP specificity in both flask and bioreactor trials. Another CphA variant, this one from Acinetobacter baylyi, underwent rational protein design to create novel mutants. One, G217K, is 34% more productive than the wild type, while G163K produces a CGP with shorter chain lengths. The current structure refined from 4.4Å to 3.5Å.
Another exciting application of NRPSs is in healthcare. They can be used to generate novel peptides such as complex antibiotics. A recently discovered iterative polyketide synthase (IPTK), dubbed AlnB, produces an antibiotic called allenomycin. One of the modular subunits, a dehydratase named AlnB_DH, was crystallized to 2.45Å. Several mutations were created in multiple active site residues to help understand the functional mechanism of AlnB_DH. A preliminary holoenzyme AlnB structure at 3.8Å was generated although the large disorganized regions demonstrated an incomplete structure. It was found that chain length is the primary factor in driving dehydratase action within AlnB_DH, which helps lend understanding to this module.
ContributorsSwain, Kyle (Author) / Nannenga, Brent (Thesis advisor) / Nielsen, David (Committee member) / Mills, Jeremy (Committee member) / Seo, Eileen (Committee member) / Acharya, Abhinav (Committee member) / Arizona State University (Publisher)
Created2022
Description
Natures hardworking machines, proteins, are dynamic beings. Comprehending the role of dynamics in mediating allosteric effects is paramount to unraveling the intricate mechanisms underlying protein function and devising effective protein design strategies. Thus, the essential objective of this thesis is to elucidate ways to use protein dynamics based tools integrated with evolution and docking techniques to investigate the effect of distal allosteric mutations on protein function and further rationally design proteins. To this end, I first employed molecular dynamics (MD) simulations, Dynamic Flexibility Index (DFI) and Dynamic Coupling Index (DCI) on PICK1 PDZ, Butyrylcholinesterase (BChE), and Dihydrofolate reductase (DHFR) to uncover how these proteins utilize allostery to tune activity. Moreover, a new classification technique (“Controller”/“Controlled”) based on asymmetry in dynamic coupling is developed and applied to DHFR to elucidate the effect of allosteric mutations on enzyme activity. Subsequently, an MD driven dynamics design approach is applied on TEM-1 β-lactamase to tailor its activity against β-lactam antibiotics. New variants were created, and using a novel analytical approach called "dynamic distance analysis" (DDA) the degree of dynamic similarity between these variants were quantified. The experimentally confirmed results of these studies showed that the implementation of MD driven dynamics design holds significant potential for generating variants that can effectively modulate activity and stability. Finally, I introduced an evolutionary guided molecular dynamics driven protein design approach, integrated co-evolution and dynamic coupling (ICDC), to identify distal residues that modulate binding site dynamics through allosteric mechanisms. After validating the accuracy of ICDC with a complete mutational data set of β-lactamase, I applied it to Cyanovirin-N (CV-N) to identify allosteric positions and mutations that can modulate binding affinity. To further investigate the impact of mutations on the identified allosteric sites, I subjected putative mutants to binding analysis using Adaptive BP-Dock. Experimental validation of the computational predictions demonstrated the efficacy of integrating MD, DFI, DCI, and evolution to guide protein design. Ultimately, the research presented in this thesis demonstrates the effectiveness of using evolutionary guided molecular dynamics driven design alongside protein dynamics based tools to examine the significance of allosteric interactions and their influence on protein function.
ContributorsKazan, Ismail Can (Author) / Ozkan, Sefika Banu (Thesis advisor) / Ghirlanda, Giovanna (Thesis advisor) / Mills, Jeremy (Committee member) / Beckstein, Oliver (Committee member) / Arizona State University (Publisher)
Created2023
Description
Fusion proteins that specifically interact with biochemical marks on chromosomes represent a new class of synthetic transcriptional regulators that decode cell state information rather than deoxyribose nucleic acid (DNA) sequences. In multicellular organisms, information relevant to cell state, tissue identity, and oncogenesis is often encoded as biochemical modifications of histones, which are bound to DNA in eukaryotic nuclei and regulate gene expression states. In 2011, Haynes et al. showed that a synthetic regulator called the Polycomb chromatin Transcription Factor (PcTF), a fusion protein that binds methylated histones, reactivated an artificially-silenced luciferase reporter gene. These synthetic transcription activators are derived from the polycomb repressive complex (PRC) and associate with the epigenetic silencing mark H3K27me3 to reactivate the expression of silenced genes. It is demonstrated here that the duration of epigenetic silencing does not perturb reactivation via PcTF fusion proteins. After 96 hours PcTF shows the strongest reactivation activity. A variant called Pc2TF, which has roughly double the affinity for H3K27me3 in vitro, reactivated the silenced luciferase gene by at least 2-fold in living cells.
ContributorsVargas, Daniel A. (Author) / Haynes, Karmella (Thesis advisor) / Wang, Xiao (Committee member) / Mills, Jeremy (Committee member) / Arizona State University (Publisher)
Created2019
Description
G protein-coupled receptors (GPCRs) are known to be modulated by membrane cholesterol levels, but whether or not the effects are caused by specific receptor-cholesterol interactions or cholesterol’s general effects on the membrane is not well-understood. Results from coarse-grained molecular dynamics (CGMD) simulations coupled and structural bioinformatics offer new insights into how cholesterol modulates GPCR function by showing cholesterol interactions with β2AR that agree with previously published data. Additionally, differential and specific cholesterol binding in the CCK receptor subfamily was observed while revealing a previously unreported Cholesterol Recognition Amino-acid Consensus (CRAC) sequence that is also conserved across 38% of class A GPCRs. Mutation of this conserved CRAC sequence of the β2AR affects cholesterol stabilization of the receptor in a lipid bilayer. Serial femtosecond crystallography (SFX) with X-ray free electron lasers (XFELs) has proven highly successful for structure determination of challenging membrane proteins crystallized in lipidic cubic phase, however, as most techniques, it has limitations. Using an optimized SFX experimental setup in a helium atmosphere we determined the room temperature structure of the adenosine A2A receptor (A2AAR) at 2.0 Å resolution and compared it with previous A2AAR structures determined in vacuum and/or at cryogenic temperatures. Specifically, we demonstrated the capability of utilizing high XFEL beam transmissions, in conjunction with a high dynamic range detector, to collect high-resolution SFX data while reducing crystalline material consumption and shortening the collection time required for a complete data set.
The results of these studies provide a better understanding of receptor-cholesterol interactions that can contribute to novel and improved therapeutics for a variety of diseases. Furthermore, the experimental setups presented herein can be applied to future molecular dynamics and SFX applications for protein nanocrystal samples to aid in structure-based discovery efforts of therapeutic targets that are difficult to crystallize.
The results of these studies provide a better understanding of receptor-cholesterol interactions that can contribute to novel and improved therapeutics for a variety of diseases. Furthermore, the experimental setups presented herein can be applied to future molecular dynamics and SFX applications for protein nanocrystal samples to aid in structure-based discovery efforts of therapeutic targets that are difficult to crystallize.
ContributorsGeiger, James (Author) / Liu, Wei (Thesis advisor) / Mills, Jeremy (Committee member) / Chiu, Po-Lin (Committee member) / Arizona State University (Publisher)
Created2020