Tag: Computational Biology
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MIT Deep-Learning Model Rearranges Our Understanding of Fruit Fly Cells
MIT Unveils a Deep‑Learning Tool to Predict Fruit Fly Cell Behavior Researchers at MIT, led by associate professor Ming Guo, have developed a cutting‑edge deep‑learning model that forecasts minute‑by‑minute cell actions in fruit fly embryos. The breakthrough promises to illuminate the earliest stages of development and could reshape how scientists study cell mechanics, tissue formation,…
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RNA Folding at Atomic Detail: How Molecular Dynamics Simulations Use Force Fields to Capture Structure
Overview: Why RNA Folding Matters in Molecular Dynamics Ribonucleic acid (RNA) is more than a genetic messenger. Its diverse roles in gene regulation, catalysis, and cellular maintenance depend on its ability to fold into intricate three-dimensional structures. Understanding these structures and the pathways by which RNA folds is crucial for uncovering mechanisms of biology and…
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RNA Folding under the Microscope: How Molecular Dynamics Shapes Understanding
Introduction: Why RNA Folding Matters Ribonucleic acid (RNA) is more than a messenger of genetic information. It plays diverse roles in gene regulation, processing, and maintenance across life’s domains. Understanding how RNA folds into its functional three-dimensional shapes is central to biology and medicine. In recent years, molecular dynamics (MD) simulations have emerged as a…
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Advancing RNA Folding Insights with Atomistic Molecular Dynamics Simulations
Introduction: The Power of Atomistic MD in RNA research Ribonucleic acid (RNA) is one of life’s most versatile molecules, orchestrating gene regulation, processing, and maintenance across diverse biological systems. To fully understand RNA function, researchers increasingly rely on molecular dynamics (MD) simulations that use atomistic force fields to capture the subtleties of folding, dynamics, and…
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Membrane Protein Function: Computational Strategy Illuminated
New Computational Strategy Sheds Light on Membrane Protein Function Membrane proteins orchestrate essential cellular tasks, from moving substances across the lipid bilayer to transmitting signals and aiding cell-to-cell interactions. When these proteins malfunction, it can lead to diseases including cancer, making them prime targets for therapeutics. Yet studying their behavior is notoriously challenging because their…
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Computational Strategy Illuminates Membrane Protein Function
New Computational Approach Sheds Light on Membrane Protein Architecture Membrane proteins sit at the critical interface of the cell, governing substance transport, signal transduction, reaction acceleration, and cell–cell interactions. When these proteins misbehave, disease can follow, making them prime targets for therapies. Yet studying their behavior in the lipid bilayer has long posed a challenge.…