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HTMoL: full-stack solution for remote access, visualization, and analysis of molecular dynamics trajectory data.

Mauricio Carrillo-TrippLeonardo Alvarez-RiveraOmar Israel Lara-RamírezFrancisco Javier Becerra-ToledoAdan Vega-RamírezEmmanuel Quijas-ValadesEduardo González-ZavalaJulio Cesar González-VázquezJavier García-VieyraNelly Beatriz Santoyo-RiveraSergio Victor Chapa-VergaraAmilcar Meneses-Viveros
Published in: Journal of computer-aided molecular design (2018)
Research on biology has seen significant advances with the use of molecular dynamics (MD) simulations. The MD methodology enables explanation and discovery of molecular mechanisms in a wide range of natural processes and biological systems. The need to readily share the ever-increasing amount of MD data has been hindered by the lack of specialized bioinformatic tools. The difficulty lies in the efficient management of the data, i.e., in sending and processing 3D information for its visualization. In this work, we present HTMoL, a plug-in-free, secure GPU-accelerated web application specifically designed to stream and visualize MD trajectory data on a web browser. Now, individual research labs can publish MD data on the Internet, or use HTMoL to profoundly improve scientific reports by including supplemental MD data in a journal publication. HTMoL can also be used as a visualization interface to access MD trajectories generated on a high-performance computer center directly. Furthermore, the HTMoL architecture can be leveraged with educational efforts to improve learning in the fields of biology, chemistry, and physics.
Keyphrases
  • molecular dynamics
  • density functional theory
  • electronic health record
  • big data
  • small molecule
  • machine learning
  • data analysis
  • artificial intelligence
  • social media