Scholarship & Research
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Item Predicting anticancer peptides and protein function with deep learning(Montana State University - Bozeman, College of Engineering, 2020) Lane, Nathaniel Patrick; Chairperson, Graduate Committee: Indika KahandaAnticancer peptides (ACPs) are a promising alternative to traditional chemotherapy. To aid wet-lab and clinical research, there is a growing interest in using machine learning techniques to help identify good ACP candidates computationally. In this work, we develop DeepACPpred, a novel deep learning model for predicting ACPs using their amino acid sequences. Using several gold-standard ACP datasets, we demonstrate that DeepACPpred is highly effective compared to state-of-the-art ACP prediction models. Furthermore, we adapt the above neural network model for predicting protein function and report our experience with participating in a community-wide large-scale assessment of protein functional annotation tools.Item Endogenous opioids and feeding in the male rat : a learning approach(Montana State University - Bozeman, College of Letters & Science, 1987) Burns, Gregory LeeItem The development of an HIV vaccine candidate using a phage display library(Montana State University - Bozeman, College of Letters & Science, 2002) Jacobs, Jon MorrellItem The effect of chloramphenicol on the in vitro synthesis of 14C-proline peptides as directed by polycytidylic acid(Montana State University - Bozeman, College of Letters & Science, 1970) Irwin, James DuardItem Development of a mimotope-based synthetic peptide vaccine against HIV using plant viruses(Montana State University - Bozeman, College of Agriculture, 2003) Intamaso, UraiwanItem Design and characterization of HIV-1 gp120 mimetic peptides(Montana State University - Bozeman, College of Letters & Science, 1999) Johnson, Alex CharlesItem Kinetics and mechanism of the reactions of Ni(II) oligopeptideamide-cyanide and Ni(II) oligopeptide-cyanide complexes with triethylene-tetramine(Montana State University - Bozeman, College of Letters & Science, 1974) Marchese, William AnthonyItem The biologically active conformation of peptide 11(Montana State University - Bozeman, College of Letters & Science, 1992) Ostheimer, Gerard JosephItem Some effects of ACTH, STH, noradrenaline and thyroid hormone on young rats starved at two different temperatures(Montana State University - Bozeman, College of Agriculture, 1969) Bradshaw, Blaine StuartItem Studies of peptide mimicry of the group B Streptococcus type III capsular polysaccharide antigen(Montana State University - Bozeman, College of Letters & Science, 2007) Pomwised, Rattanaruji; Chairperson, Graduate Committee: Mark Young; Seth Pincus (co-chair)Capsular polysaccharide (CPS) of Streptococcus group B (GBS) is a poor immunogen and functions as T cell independent antigen, eliciting low IgG antibody with deficient immunologic memory. We previously identified a peptide, S9, which mimics CPS of type III GBS. Here we have taken steps to develop the mimetic peptide as a vaccine against GBS group III. We enhanced the immunogenicity of the peptide by presenting it on the coat protein of Cowpea Chlorotic Mottle Virus (CCMV). And we searched for better mimetic peptides by constructing a secondary phage display library. To accomplish the first goal, DNA encoding S9 was cloned into five constructions CCMV coat protein loops using recombinant DNA techniques. The results indicated that inserting the S9 peptide sequence into CCMV coat protein loops disrupted virus and virus-like particle assembly. Therefore the S9 peptide was conjugated to CCMV coat protein using chemical linkers. The CCMV-S9 conjugation products remained intact as monomer virions.