The Experts below are selected from a list of 4563 Experts worldwide ranked by ideXlab platform
Bette T Korber - One of the best experts on this subject based on the ideXlab platform.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
Nature Communications, 2021Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Jennifer Debeauchamp, Adam Rubrum, Richard J Webby, Eric A WeaverAbstract:Influenza A virus infection in swine impacts the agricultural industry in addition to its zoonotic potential. Here, we utilize Epigraph, a computational algorithm, to design a universal swine H3 influenza vaccine. The Epigraph hemagglutinin proteins are delivered using an Adenovirus type 5 vector and are compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination leads to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduces weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, show stronger levels of cross-reactive antibodies and T-cell responses after immunization with the Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination shows superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
bioRxiv, 2020Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Eric A WeaverAbstract:Swine influenza virus (SIV) is a significant burden on the pork industry and threat to human health due to its zoonotic potential. Here, we utilized Epigraph, a computational algorithm, to design a universal swine H3 (swH3) influenza vaccine. The Epigraph hemagglutinin proteins were delivered using an Adenovirus type 5 vector and compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination led to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduced weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, showed stronger levels of cross-reactive antibodies and T-cell responses after immunization with Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination showed superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.
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Epigraph a vaccine design tool applied to an hiv therapeutic vaccine and a pan filovirus vaccine
Scientific Reports, 2016Co-Authors: James Theiler, Hyejin Yoon, Karina Yusim, Louis J Picker, Klaus Fruh, Bette T KorberAbstract:Epigraph is an efficient graph-based algorithm for designing vaccine antigens to optimize potential T-cell epitope (PTE) coverage. Epigraph vaccine antigens are functionally similar to Mosaic vaccines, which have demonstrated effectiveness in preliminary HIV non-human primate studies. In contrast to the Mosaic algorithm, Epigraph is substantially faster, and in restricted cases, provides a mathematically optimal solution. Epigraph furthermore has new features that enable enhanced vaccine design flexibility. These features include the ability to exclude rare epitopes from a design, to optimize population coverage based on inexact epitope matches, and to apply the code to both aligned and unaligned input sequences. Epigraph was developed to provide practical design solutions for two outstanding vaccine problems. The first of these is a personalized approach to a therapeutic T-cell HIV vaccine that would provide antigens with an excellent match to an individual's infecting strain, intended to contain or clear a chronic infection. The second is a pan-filovirus vaccine, with the potential to protect against all known viruses in the Filoviradae family, including ebolaviruses. A web-based interface to run the Epigraph tool suite is available (http://www.hiv.lanl.gov/content/sequence/Epigraph/Epigraph.html).
Eric A Weaver - One of the best experts on this subject based on the ideXlab platform.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
Nature Communications, 2021Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Jennifer Debeauchamp, Adam Rubrum, Richard J Webby, Eric A WeaverAbstract:Influenza A virus infection in swine impacts the agricultural industry in addition to its zoonotic potential. Here, we utilize Epigraph, a computational algorithm, to design a universal swine H3 influenza vaccine. The Epigraph hemagglutinin proteins are delivered using an Adenovirus type 5 vector and are compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination leads to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduces weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, show stronger levels of cross-reactive antibodies and T-cell responses after immunization with the Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination shows superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
bioRxiv, 2020Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Eric A WeaverAbstract:Swine influenza virus (SIV) is a significant burden on the pork industry and threat to human health due to its zoonotic potential. Here, we utilized Epigraph, a computational algorithm, to design a universal swine H3 (swH3) influenza vaccine. The Epigraph hemagglutinin proteins were delivered using an Adenovirus type 5 vector and compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination led to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduced weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, showed stronger levels of cross-reactive antibodies and T-cell responses after immunization with Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination showed superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.
Enis A Cetin - One of the best experts on this subject based on the ideXlab platform.
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projections onto the Epigraph set of the filtered variation function based deconvolution algorithm
IEEE Global Conference on Signal and Information Processing, 2016Co-Authors: Mohammad Tofighi, Enis A CetinAbstract:A new deconvolution algorithm based on orthogonal projections onto the hyperplanes and the Epigraph set of a convex cost function is presented. In this algorithm, the convex sets corresponding to the cost function are defined by increasing the dimension of the minimization problem by one. The Filtered Variation (FV) function is used as the convex cost function in this algorithm. Since the FV cost function is a convex function in RN, then the corresponding Epigraph set is also a convex set in the lifted set in RN+1. At each step of the iterative deconvolution algorithm, starting with an arbitrary initial estimate in RN+1, first the projections onto the hyperplanes are performed to obtain the first deconvolution estimate. Then an orthogonal projection is performed onto the Epigraph set of the FV cost function, in order to regularize and denoise the deconvolution estimate, in a sequential manner. The algorithm converges to the deblurred image.
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Kernel estimation for time-frequency distributions using Epigraph set of L1-NORM
2015 23rd European Signal Processing Conference (EUSIPCO), 2015Co-Authors: Zeynel Deprem, Enis A CetinAbstract:In this article, a new kernel estimation method is introduced using the Epigraph set of the l1-norm. The new method produces a high-resolution and cross-term free estimates for Cohen's Class of Time-frequency (TF) distributions. The kernel estimation process starts with an initial rough TF distribution. This initial estimate is orthogonally projected onto the Epigraph set of the l1 norm in TF domain. Epigraph set of the l1 norm produces a sparse time-frequency distribution. Sparsity in TF domain leads to cross-term free TF distributions. Experimental results are presented and the TF distributions obtained with the estimated kernel are compared to those obtained with an optimized kernel.
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denoising using projections onto the Epigraph set of convex cost functions
International Conference on Image Processing, 2014Co-Authors: Mohammad Tofighi, Kivanc Kose, Enis A CetinAbstract:A new denoising algorithm based on orthogonal projections onto the Epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and feasibility sets corresponding to the cost function using the Epigraph concept are defined. As the utilized cost function is a convex function in RN, the corresponding Epigraph set is also a convex set in RN+1. The denoising algorithm starts with an arbitrary initial estimate in RN+1. At each step of the iterative denoising, an orthogonal projection is performed onto one of the constraint sets associated with the cost function in a sequential manner. The method provides globally optimal solutions for total-variation, l 1 , l 2 , and entropic cost functions.1
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deconvolution using projections onto the Epigraph set of a convex cost function
Signal Processing and Communications Applications Conference, 2014Co-Authors: Mohammad Tofighi, Alican Bozkurt, Kivanc Kose, Enis A CetinAbstract:A new deconvolution algorithm based on making orthogonal projections onto the Epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and sets corresponding to the cost function and observations are defined. If the utilized cost function is convex in RN, the corresponding Epigraph set is also convex in RN+1. The deconvolution algorithm starts with an arbitrary initial estimate in RN+1. At each iteration cycle of the algorithm, first deconvolution projections are performed onto the hyperplanes representing observations, then an orthogonal projection is performed onto Epigraph of the cost function. The method provides globally optimal solutions for total variation, l1, l2, and entropic cost functions.
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deconvolution using projections onto the Epigraph set of a convex cost function
arXiv: Data Structures and Algorithms, 2014Co-Authors: Mohammad Tofighi, Alican Bozkurt, Enis A CetinAbstract:A new deconvolution algorithm based on orthogonal projections onto the Epigraph set of a convex cost function is presented. In this algorithm, the dimension of the minimization problem is lifted by one and sets corresponding to the cost function are defined. As the utilized cost function is a convex function in $R^N$, the corresponding Epigraph set is also a convex set in $R^{N+1}$. The deconvolution algorithm starts with an arbitrary initial estimate in $R^{N+1}$. At each step of the iterative algorithm, first deconvolution projections are performed onto the Epigraphs, later an orthogonal projection is performed onto one of the constraint sets associated with the cost function in a sequential manner. The method provides globally optimal solutions for total-variation, $\ell_1$, $\ell_2$, and entropic cost functions.
Brianna L Bullard - One of the best experts on this subject based on the ideXlab platform.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
Nature Communications, 2021Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Jennifer Debeauchamp, Adam Rubrum, Richard J Webby, Eric A WeaverAbstract:Influenza A virus infection in swine impacts the agricultural industry in addition to its zoonotic potential. Here, we utilize Epigraph, a computational algorithm, to design a universal swine H3 influenza vaccine. The Epigraph hemagglutinin proteins are delivered using an Adenovirus type 5 vector and are compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination leads to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduces weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, show stronger levels of cross-reactive antibodies and T-cell responses after immunization with the Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination shows superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
bioRxiv, 2020Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Eric A WeaverAbstract:Swine influenza virus (SIV) is a significant burden on the pork industry and threat to human health due to its zoonotic potential. Here, we utilized Epigraph, a computational algorithm, to design a universal swine H3 (swH3) influenza vaccine. The Epigraph hemagglutinin proteins were delivered using an Adenovirus type 5 vector and compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination led to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduced weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, showed stronger levels of cross-reactive antibodies and T-cell responses after immunization with Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination showed superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.
Brigette N Corder - One of the best experts on this subject based on the ideXlab platform.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
Nature Communications, 2021Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Jennifer Debeauchamp, Adam Rubrum, Richard J Webby, Eric A WeaverAbstract:Influenza A virus infection in swine impacts the agricultural industry in addition to its zoonotic potential. Here, we utilize Epigraph, a computational algorithm, to design a universal swine H3 influenza vaccine. The Epigraph hemagglutinin proteins are delivered using an Adenovirus type 5 vector and are compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination leads to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduces weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, show stronger levels of cross-reactive antibodies and T-cell responses after immunization with the Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination shows superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.
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Epigraph hemagglutinin vaccine induces broad cross reactive immunity against swine h3 influenza virus
bioRxiv, 2020Co-Authors: Brianna L Bullard, Bette T Korber, Brigette N Corder, Eric A WeaverAbstract:Swine influenza virus (SIV) is a significant burden on the pork industry and threat to human health due to its zoonotic potential. Here, we utilized Epigraph, a computational algorithm, to design a universal swine H3 (swH3) influenza vaccine. The Epigraph hemagglutinin proteins were delivered using an Adenovirus type 5 vector and compared to a wild type hemagglutinin and the commercial inactivated vaccine, FluSure. In mice, Epigraph vaccination led to significant cross-reactive antibody and T-cell responses against a diverse panel of swH3 isolates. Epigraph vaccination also reduced weight loss and lung viral titers in mice after challenge with three divergent swH3 viruses. Vaccination studies in swine, the target species for this vaccine, showed stronger levels of cross-reactive antibodies and T-cell responses after immunization with Epigraph vaccine compared to the wild type and FluSure vaccines. In both murine and swine models, Epigraph vaccination showed superior cross-reactive immunity that should be further investigated as a universal swH3 vaccine.