Publications by authors named "Steven Grudman"

Solid tumors, such as triple-negative breast cancer (TNBC), are biologically complex due to cellular heterogeneity, lack of tumor-specific antigens, and an immunosuppressive tumor microenvironment (TME). These challenges restrain chimeric antigen receptor (CAR) T cell efficacy, underlining the importance of armoring. In solid cancers, a localized tumor mass allows alternative administration routes, such as intratumoral delivery with the potential to improve efficacy and safety but may compromise metastatic-site treatment.

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Motivation: Molecular-level classification of protein-protein interfaces can greatly assist in functional characterization and rational drug design. The most accurate protein interface predictions rely on finding homologous proteins with known interfaces since most interfaces are conserved within the same protein family. The accuracy of these template-based prediction approaches depends on the correct choice of suitable templates.

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Despite the remarkable success of autologous chimeric antigen receptor (CAR) T cells, some patients relapse due to tumor antigen escape and low or uneven antigen expression, among other mechanisms. Therapeutic options after relapse are limited, emphasizing the need to optimize current approaches. In addition, there is a need to develop allogeneic "off-the-shelf" therapies from healthy donors that are readily available at the time of treatment decision and can overcome limitations of current autologous approaches.

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Summary: The Interface Contact definition with Adaptable Atom Types (INTERCAAT) was developed to determine the atomic interactions between molecules that form a known three dimensional structure. First, INTERCAAT creates a Voronoi tessellation where each atom acts as a seed. Interactions are defined by atoms that share a hyperplane and whose distance is less than the sum of each atoms' Van der Waals radii plus the diameter of a solvent molecule.

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