De novo design of therapeutic peptides and their characterization

dc.contributor.authorThakkar, Ravindra
dc.date.accessioned2022-04-11T18:39:55Z
dc.date.available2022-04-11T18:39:55Z
dc.date.graduationmonthMayen_US
dc.date.published2022en_US
dc.description.abstractPeptides are low-cost, flexible, and biocompatible and can be designed to serve various functions in biotechnology and medicine. Peptides can be designed such that they fold spontaneously and adopt a specific conformation under specific conditions, including when in contact with the three-dimensional structure of a protein or the two-dimensional structure of graphene. They are promising for design of functional materials for biotechnology and medical applications. I have studied peptide design for biotechnology, including peptide self-assembly on a graphene surface, and for medical applications such as cancer immunotherapy and treatment of coronavirus disease 2019 caused by SARS-CoV-2. In chapter 1, I describe my study of the self-assembly of a designed cyclic peptide on graphitic surfaces by molecular dynamics simulations. In experiments, it was found that hydrocarbon contaminants may interfere with this self-assembly, so we undertook a computational study of the behavior of these contaminants at the graphene–water interface and compared it to experimental data, as detailed in chapter 2. Peptides are also promising in medicine, particularly for inhibiting protein-protein interactions in situations where conventional small-molecule drugs can be unsuitable. Many viruses important for public health including SARS-CoV-2 and influenza enter cells by means of binding between viral proteins and cell surface proteins. The blockade of these undesirable protein-protein interactions has definite clinical significance. Another medical application where blocking protein-protein interactions is essential is the immune checkpoint blockade used in cancer immunotherapy. Immune checkpoint proteins most studied for cancer immunotherapy have flat and relatively hydrophobic interfaces that have impeded small-molecule drug development. Therefore, the application of peptide molecules that mimic the interacting surface of a natural binding protein is a promising alternative to small- molecule drugs. Immunotherapy activates the patient’s own immune system to treat cancer. When any foreign substance enters in the body, immune cells recognize it as a threat and neutralize it. But unfortunately, cancer cells often evolve to evade the immune system. Cytotoxic T-Lymphocyte Associated protein 4 (CTLA4) plays a crucial role in self-recognition and is an immune checkpoint protein that cancer cells may express to prevent attack from the immune system. Cancer cells frequently overexpress proteins of the B7 family, which allows them to evade the immune response by binding between these B7 proteins and CTLA4 on the surface of T cells. As presented in chapter 3, I have designed a 17-residue cyclic peptide targeting the CTLA4 protein that binds to it with a significant affinity. The binding activity was experimentally confirmed by the bio-layer interferometry (BLI) method. Studies performed by our collaborators showed an increase in CD8+ T cell-induced death of Lewis Lung Carcinoma (LLC) cells due to treatment with this peptide in vitro. In vivo, the designed peptide attenuated tumor growth in mouse models using orthotopic LLC cell allografts. A disease caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), called as COVID-19, has threatened global public health and the global economy. The WHO has reported 434 confirmed million cases and 6 million deaths. Although effective vaccines have been developed against SARS-CoV-2, many regions in the world still have a low rate of vaccination and even vaccinated individuals may experience reinfection. Deaths continue to be reported worldwide, exacerbated by continued mutation of the viral spike protein. SARS-CoV-2 enters the host cell through association of this spike protein, present on the envelope of the virus, and Angiotensin Converting Enzyme (ACE2), a protein expressed on the surface of host cells. As detailed in chapter 4, I have designed a 17-residue long peptide targeting the receptor-binding domain (RBD) of the spike protein to prevent COVID-19 infection. My designed peptide binds to the spike protein RBD with nanomolar affinity and blocks the binding site of ACE2. I have confirmed the binding activity using a microcantilever-based method and determined the dissociation constant using a BLI system. SARS-CoV-2 continues to mutate and produce variants. I have tested the binding activity of the designed peptide for the Delta variant, considered highly transmissible and declared as a variant of the concern (VOC) by the WHO. The BLI experiment revealed weaker binding of the designed peptide for the Delta variant spike protein compared to that for the original wild-type due to the mutations present in the receptor-binding domain of the spike protein.en_US
dc.description.advisorJeffrey R. Comeren_US
dc.description.degreeDoctor of Philosophyen_US
dc.description.departmentDepartment of Anatomy and Physiologyen_US
dc.description.levelDoctoralen_US
dc.description.sponsorship1. US National Science Foundation under grant no. DMR-1945589 2. Kansas State University (KSU) College of Veterinary Medicine Dean’s funds [2015CVM-SMILE], 3. Johnson Cancer Research Center 2018 JCRC-IRA, National Cancer Institute [1 R15 CA219919-01]. 4. Beocat Research Cluster at Kansas State University, funded in part by NSF grants CHE-1726332, CNS-1006860, EPS-1006860, and EPS-0919443. 5. Kansas Idea Network of Biomedical Research Excellence (K-INBRE) CORE Facility support award (grant number P20 GM103418)en_US
dc.identifier.urihttps://hdl.handle.net/2097/42082
dc.language.isoen_USen_US
dc.subjectComputation peptide designen_US
dc.subjectProtein modellingen_US
dc.subjectMolecular dynamics simulations and free energy calculationsen_US
dc.subjectCancer immunotherapyen_US
dc.subjectPeptide drug development for COVID-19en_US
dc.subjectContaminants at graphene-water interfaceen_US
dc.subjectPeptide self-assemblyen_US
dc.titleDe novo design of therapeutic peptides and their characterizationen_US
dc.typeDissertationen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
ThakkarRavindra2022.pdf
Size:
4.75 MB
Format:
Adobe Portable Document Format
Description:
Thesis
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.62 KB
Format:
Item-specific license agreed upon to submission
Description: