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.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10822-018-0141-y | DOI Listing |
J Phys Chem Lett
January 2025
Department of Materials Science & Engineering, City University of Hong Kong, Kowloon, Hong Kong.
Despite numerous studies of water structures at the two-dimensional water-solid interfaces, much less is known about the phase behaviors of water at the one-dimensional (1D) liquid-solid interface. In this work, the 1D interfacial water phase behavior on the outer surface of carbon nanotube-like (CNT-like) models is studied by tuning the Lennard-Jones potential parameter ε of the surface atoms at various temperatures. Extensive molecular dynamics simulations show that ice nanotubes (INTs) can be spontaneously formed on CNT-like model surfaces without nanoconfinement.
View Article and Find Full Text PDFJ Phys Chem B
January 2025
School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067, India.
Hydration free energy (HFE) of molecules is a fundamental property having importance throughout chemistry and biology. Calculation of the HFE can be challenging and expensive with classical molecular dynamics simulation-based approaches. Machine learning (ML) models are increasingly being used to predict HFE.
View Article and Find Full Text PDFAnnu Rev Plant Biol
January 2025
2UMRT INRAE 1158 BioEcoAgro, Biologie des Plantes et Innovation, Université de Picardie Jules Verne, Amiens, France; email:
Pectins underpin the assembly, molecular architecture, and physical properties of plant cell walls and through their effects on cell growth and adhesion influence many aspects of plant development. They are some of the most dynamic components of plant cell walls, and pectin remodeling and degradation by pectin-modifying enzymes can drive developmental programming via physical effects on the cell wall and the generation of oligosaccharides that can act as signaling ligands. Here, we introduce pectin structure and synthesis and discuss pectin functions in plants.
View Article and Find Full Text PDFAnnu Rev Phys Chem
January 2025
1Institute of Atomic and Molecular Sciences, Academia Sinica, Taipei, Taiwan;
This is a recollection of my scientific trajectory. When I look back, I consider myself to be very fortunate for being able to do something I love and on topics of my own will. I am not a competitive person and tend to shy away from the limelight.
View Article and Find Full Text PDFAcc Chem Res
January 2025
Department of Chemistry, Ben-Gurion University of the Negev, Be'er Sheva 84105, Israel.
ConspectusA key challenge in modern chemistry research is to mimic life-like functions using simple molecular networks and the integration of such networks into the first functional artificial cell. Central to this endeavor is the development of signaling elements that can regulate the cell function in time and space by producing entities of code with specific information to induce downstream activity. Such artificial signaling motifs can emerge in nonequilibrium systems, exhibiting complex dynamic behavior like bistability, multistability, oscillations, and chaos.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!