Registered Data

[CT183]

[00594] Study of Protein Folding: A Quantum Computational Approach

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : Predicting the native structure of a protein from its amino acid sequence is considered one of the most important problems of computational biophysics and biochemistry, as it is necessary to understand the functions of various biological processes. Although there are classical optimization algorithms that provide solutions, the exponential growth of proteins’ conformations motivated researchers to resort to the quantum computing approach as it incorporates superposition and reduces complexity. We review protein folding using Quantum computation.
  • Classification : 92C05, 92C40, 92D20, 92-08
  • Author(s) :
    • Amrita P. (Department of Mathematics, Bioinformatics and Computer Applications, Maulana Azad National Institute of Technology, Bhopal 462003 )
    • Shikhar Singh (QuTech, Delft University of Technology, Delft 2628 CJ )
    • Madhvi Shakya (Department of Mathematics, Bioinformatics and Computer Applications, Maulana Azad National Institute of Technology, Bhopal 462003)

[02625] Topology-Driven Shape Programmability in Tissue Morphogenesid

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : The ability of a pre-patterned and subsequently activated spontaneous strain field to drive shape transformations has gained increasing appreciation in device design, engineering, and the physics of metric shape-programmability. Many of these ideas may also hold relevance for understanding tissue morphogenesis. We show spatiotemporal patterns of active cell behaviours can be coarse-grained to yield similar spontaneous strain fields, and how topological defects in these fields can organise shape outcomes and provide robustness against natural variability.
  • Classification : 92C05, 92C15, 74M05, 92-10, 92-08
  • Author(s) :
    • Carl D Modes (Max Planck Institute of Molecular Cell Biology and Genetics)

[00320] Sensing the electrical world: modelling to understand aerial electroreception

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : Bees and spiders (and other arthropods) can sense naturally occurring electrical fields. This recent discovery expands our view of how such organisms explore their environments, revealing previously unknown sensory capabilities. This talk consists of three topics: 1) the physical and biological feasibility of this sense, 2) how interactions between sensory hairs alter their sensitivity to different stimuli, and 3) the new sensory possibilities (e.g., object identification) and biological implications of this sense (e.g., decision-making).
  • Classification : 92C10, 92C05, 74F10, 92C42
  • Author(s) :
    • Ryan Palmer (University of Bristol)
    • Daniel Robert (University of Bristol)
    • Isaac Chenchiah (University of Bristol)

[01299] Mathematical modelling of peristaltic driven two-layered catheterized oesophagus

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : An analytical mathematical model for two-layered catheterized oesophagus is presented in the wave-frame. We take due care to conserve the fluids separately. A linear relationship between pressure and flow rate is discovered for catheterized oesophagus. Pressure and flow rate rise in the presence of a catheter with thinner peripheral layer. So it can be suggested that no patient should be fed anything directly through mouth once a catheter has been inserted into the oesophagus.
  • Classification : 92C10, 92-10, 35G20, 35G60, 92C35, Biomechanics
  • Author(s) :
    • ANUPAM KUMAR PANDEY (Indian Institute of Technology (BHU), Varanasi)
    • Sanjay Kumar Pandey (Indian Institute of Technology (BHU), Varanasi)

[01173] Turing Patterns as a Model for Brain Folding

  • Session Date & Time : 5D (Aug.25, 15:30-17:10)
  • Type : Contributed Talk
  • Abstract : Folding patterns of every human brain are unique with no consensus among neurobiologists regarding the mechanism for folding pattern formation. We present a Turing reaction-diffusion model that uses an activator and inhibitor, and incorporates parameters that influence genetic control, brain growth, and domain scale. Our results study static and dynamic domain growth, and we investigate domain shape to compare results to brain diseases with excessive folding or lack of folding such as polymicrogyria and lissencephaly.
  • Classification : 92C15, 92B05, 92-10, 37N25, 35B36, Turing Pattern Formation, Brain Development, PDEs, Modeling, Dynamical Systems
  • Author(s) :
    • Monica K. Hurdal (Florida State University)