Brandon Carter
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View article: Machine learning model interpretations explain T cell receptor binding
Machine learning model interpretations explain T cell receptor binding Open
T cells mediate immune responses against pathogens and cancer through T cell receptors (TCRs) that recognize foreign peptides presented on the cell surface by Major Histocompatibility Complex (MHC) proteins. TCRs carry enormous diversity a…
View article: Supplementary Figure 3 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 3 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Supplementary Methods, Figure Legends 1-6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Methods, Figure Legends 1-6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Supplementary Table 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Table 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
XLS file - 11K
View article: Supplementary Figure 4 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 4 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Data from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Data from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
The ubiquitin-like SUMO proteins covalently modify protein substrates and regulate their functional properties. In a broad spectrum of cancers, the tumor suppressor PML undergoes ubiquitin-mediated degradation primed by CK2 phosphorylation…
View article: Supplementary Methods, Figure Legends 1-6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Methods, Figure Legends 1-6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Supplementary Figure 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Supplementary Figure 6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Data from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Data from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
The ubiquitin-like SUMO proteins covalently modify protein substrates and regulate their functional properties. In a broad spectrum of cancers, the tumor suppressor PML undergoes ubiquitin-mediated degradation primed by CK2 phosphorylation…
View article: Supplementary Figure 6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 6 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Supplementary Figure 2 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 2 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Supplementary Figure 5 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 5 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
PDF file - 165K
View article: Supplementary Table 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Table 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
XLS file - 11K
View article: Supplementary Figure 5 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 5 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
PDF file - 165K
View article: Supplementary Figure 2 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 2 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
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View article: Supplementary Figure 4 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 4 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
PDF file - 95K
View article: Supplementary Figure 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 1 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
PDF file - 118K
View article: Supplementary Figure 3 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA
Supplementary Figure 3 from The SUMO E3-ligase PIAS1 Regulates the Tumor Suppressor PML and Its Oncogenic Counterpart PML-RARA Open
PDF file - 126K
View article: A pan-variant mRNA-LNP T cell vaccine protects HLA transgenic mice from mortality after infection with SARS-CoV-2 Beta
A pan-variant mRNA-LNP T cell vaccine protects HLA transgenic mice from mortality after infection with SARS-CoV-2 Beta Open
Licensed COVID-19 vaccines ameliorate viral infection by inducing production of neutralizing antibodies that bind the SARS-CoV-2 Spike protein and inhibit viral cellular entry. However, the clinical effectiveness of these vaccines is trans…
View article: Contents list
Contents list Open
Permissions Request permissions Contents list Chem. Educ. Res. Pract., 2023, 24, 387 DOI: 10.1039/D3RP90005C This article is licensed under a Creative Commons Attribution 3.0 Unported Licence. You can use material from this article in othe…
View article: A Multi-Faceted Approach to Advancing Materials Science: Investigations in Materials Research and Education
A Multi-Faceted Approach to Advancing Materials Science: Investigations in Materials Research and Education Open
This dissertation presents a unique approach for conducting doctoral research in Materials Science and Engineering(MSE). Traditionally, MSE research consists of novel material synthesis, characterization, and analysis. However, advancement…
View article: A pan-variant mRNA-LNP T cell vaccine protects HLA transgenic mice from mortality after infection with SARS-CoV-2 Beta
A pan-variant mRNA-LNP T cell vaccine protects HLA transgenic mice from mortality after infection with SARS-CoV-2 Beta Open
Clinically licensed COVID-19 vaccines ameliorate viral infection by inducing vaccinee production of neutralizing antibodies that bind to the SARS-CoV-2 Spike protein to inhibit viral cellular entry (Walsh et al., 2020; Baden et al., 2021),…
View article: Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples
Embedding Comparator: Visualizing Differences in Global Structure and Local Neighborhoods via Small Multiples Open
Embeddings mapping high-dimensional discrete input to lower-dimensional continuous vector spaces have been widely adopted in machine learning applications as a way to capture domain semantics. Interviewing 13 embedding users across discipl…
View article: Physical and sensory properties of lemon-flavored acidic beverages formulated with nonfat dry milk during storage
Physical and sensory properties of lemon-flavored acidic beverages formulated with nonfat dry milk during storage Open
Sensory and physical properties of 2 lemon-flavored beverages with 5% and 7.5% wt/wt nonfat dry milk (NFDM) at pH 2.5 were studied during storage. The 2 beverages had similar volatile compounds, but the 5% NFDM had higher aroma and lemon f…
View article: Efficiency of removal of whey protein from sweet whey using polymeric microfiltration membranes
Efficiency of removal of whey protein from sweet whey using polymeric microfiltration membranes Open
Our objective was to measure whey protein removal percentage from separated sweet whey using spiral-wound (SW) polymeric microfiltration (MF) membranes using a 3-stage, 3× process at 50°C and to compare the performance of polymeric membran…
View article: Determination of the efficiency of removal of whey protein from sweet whey with ceramic microfiltration membranes
Determination of the efficiency of removal of whey protein from sweet whey with ceramic microfiltration membranes Open
Our research objective was to measure percent removal of whey protein from separated sweet whey using 0.1-µm uniform transmembrane pressure ceramic microfiltration (MF) membranes in a sequential batch 3-stage, 3× process at 50°C. Cheddar c…
View article: Machine learning optimization of peptides for presentation by class II MHCs
Machine learning optimization of peptides for presentation by class II MHCs Open
Summary T cells play a critical role in cellular immune responses to pathogens and cancer and can be activated and expanded by Major Histocompatibility Complex (MHC)-presented antigens contained in peptide vaccines. We present a machine le…
View article: Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy
Lost in Pruning: The Effects of Pruning Neural Networks beyond Test Accuracy Open
Neural network pruning is a popular technique used to reduce the inference costs of modern, potentially overparameterized, networks. Starting from a pre-trained network, the process is as follows: remove redundant parameters, retrain, and …