Results 151 to 160 of about 933,309 (343)
Our understanding of biology has undergone a revolution in the past 20 years, driven by our ability to capture, store, interrogate and analyze the ever-increasing volumes of ‘omics’ data. Computational Biology, an integrated approach employing high performance computers, state-of-the art software and algorithms, mathematical modeling and statistical ...
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In this work, melt electrowriting is used to fabricate a 3D printed scaffold design that generates engineered cardiac tissues with in‐plane contraction, mimicking natural myocardium. It is shown that these tissues display advanced maturation and functionality.
Olalla Iglesias‐García+23 more
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The blossoming of methods and software in computational biology. [PDF]
Mac Gabhann F, Pitzer VE, Papin JA.
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Proceedings of the Second Annual Conference of the MidSouth Computational Biology and Bioinformatics Society [PDF]
Jonathan D. Wren, William Slikker
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Electric Pulse Regulated MXene Based Nanozymes for Integrative Bioelectricity Immuno‐Cancer Therapy
MXenzyme‐mediated bioelectricity cancer therapy (MXenzyme‐BECT) enhances cancer cell death through irreversible depolarization, ion channel disruption, ROS generation, and immunogenic cell death. Computational simulations reveal the electrical mechanisms by which MXenzyme acts on single cells and support to predict treatment parameters. Next‐generation
Sanghee Lee+6 more
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Systems Biology Toolbox for MATLAB: a computational platform for research in systems biology [PDF]
Henning Schmidt, Mats Jirstrand
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A novel phthalocyanine (PC)‐based metal–organic framework (MOFs) is synthesized using ditopic PC linkers obtained through regioselective statistical condensation. The resulting MOF exhibits significant improvements in electronic absorption, thereby enhancing the material's performance in light harvesting and energy conversion.
Lukas S. Langer+12 more
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Retracted: Computational Biology Predicts the Efficacy of Tumor Immune Checkpoint Blockade. [PDF]
International BR.
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Software agents in molecular computational biology [PDF]
J. W. Keele, James E. Wray
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