25 research outputs found

    Coloring the Mu transpososome

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    Isabel K. Darcy, Colin McKinney, Ram K. Medikonduri, and Travis Thompson are with the Mathematics Department, University of Iowa, Iowa City, IA 52242, USA, -- Jeff Chang, and Jesse Sweet are with the Mathematics Department, University of Texas at Austin, Austin, TX 78712, USA, -- Nathan Druivenga is with the Mathematics Department, Indiana University, Bloomington, IN 47405, USA, -- Stacy Mills is with the Mathematics Department, Florida State University, Tallahassee, FL 32306, USA, -- Junalyn Navarra-Madsen is with the Mathematics Department, Texas Woman's University, Denton, TX 76204, USA and -- Arun Ponnusamy is with Credit Suisse First, Boston, MA 02110, USABackground: Tangle analysis has been applied successfully to study proteins which bind two segments of DNA and can knot and link circular DNA. We show how tangle analysis can be extended to model any stable protein-DNA complex. -- Results: We discuss a computational method for finding the topological conformation of DNA bound within a protein complex. We use an elementary invariant from knot theory called colorability to encode and search for possible DNA conformations. We apply this method to analyze the experimental results of Pathania, Jayaram, and Harshey (Cell 2002). We show that the only topological DNA conformation bound by Mu transposase which is biologically likely is the five crossing solution found by Pathania et al (although other possibilities are discussed). -- Conclusion: Our algorithm can be used to analyze the results of the experimental technique described in Pathania et al in order to determine the topological conformation of DNA bound within a stable protein-DNA [email protected]

    Numerical investigation of dimple-texturing on the turning performance of hardened AISI H-13 steel

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    Forming micro-dimples nearer to the cutting edge on the rack face of the tungsten carbide cutting inserts will positively influence the machinability. However, it is challenging to machine the perfect micro-dimple dimensions by utilizing the available machining techniques. Finite element analysis can be an efficient way to observe the influence of dimple-texture area density, micro-dimple size, and various micro-dimple shapes on cutting inserts' machinability. This paper numerically analyses the impact of micro-dimple-textured cutting inserts in dry machining of AISI H-13 steel using AdvantEdge (virtual machining and finite element analysis software). Micro-dimples are formed on the rack face of tungsten carbide cutting inserts to observe the effect of dimple-textured cutting inserts on machinability compared to non-textured cutting inserts in terms of micro-dimple shape, micro-dimple size, and micro-dimple area density ratio. Their outcomes are analysed in terms of chip-insert contact length, main cutting force, and thrust force. It is observed that micro-dimple textured cutting inserts exhibit minimal main cutting force and thrust force in line with increasing the cutting insert life span. The abrasive wear was reduced in dimple-textured cutting inserts due to minimal contact between the cutting insert and chip developed compared to non-textured cutting inserts
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