Explore the words cloud of the VARMET project. It provides you a very rough idea of what is the project "VARMET" about.
The following table provides information about the project.
Coordinator |
UNIVERSITA DELLA SVIZZERA ITALIANA
Organization address contact info |
Coordinator Country | Switzerland [CH] |
Project website | http://www.parrinello.ethz.ch/research/variationally-enhanced-sampling.html |
Total cost | 2˙488˙827 € |
EC max contribution | 2˙488˙827 € (100%) |
Programme |
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC)) |
Code Call | ERC-2014-ADG |
Funding Scheme | ERC-ADG |
Starting year | 2016 |
Duration (year-month-day) | from 2016-01-01 to 2020-12-31 |
Take a look of project's partnership.
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1 | UNIVERSITA DELLA SVIZZERA ITALIANA | CH (LUGANO) | coordinator | 2˙488˙827.00 |
We propose to extend the time scale accessible to atomistic-based simulation methods from the current range to millisecond and beyond without special-purpose machines. We shall do this by combining and extending two recent developments: a recent reformulation of the enhanced sampling problem into a powerful variational principle that opens a wealth of possibilities and provides a novel and fruitful standpoint for new developments; and a procedure for extracting rates from enhanced runs. We shall apply the methods thus developed to two major problems of great practical interest. One is the lifetime of a ligand-protein bound state. This quantity is not easily accessible experimentally and yet it is crucial in drug design to determine the potency of a drug. We plan to develop a viable and widely applicable way to compute it. The other is a study of crystallization from solution, for which we wish to determine the nucleation mechanism and nucleation rates and understand and control crystal growth. These are all issues of great relevance in engineering, pharmacology and nanotechnology. Besides being relevant on their own merits, these two applications present different challenges to the enhanced methods. We also believe that new methods should not be developed in an abstract way but in close interaction with real-life applications.
year | authors and title | journal | last update |
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2018 |
Luigi Bonati, Michele Parrinello Silicon Liquid Structure and Crystal Nucleation from Ab Initio Deep Metadynamics published pages: , ISSN: 0031-9007, DOI: 10.1103/PhysRevLett.121.265701 |
Physical Review Letters 121/26 | 2019-08-30 |
2018 |
Yong Wang, Omar Valsson, Pratyush Tiwary, Michele Parrinello, Kresten Lindorff-Larsen Frequency adaptive metadynamics for the calculation of rare-event kinetics published pages: 72309, ISSN: 0021-9606, DOI: 10.1063/1.5024679 |
The Journal of Chemical Physics 149/7 | 2019-08-30 |
2018 |
Dan Mendels, Giovannimaria Piccini, Z. Faidon Brotzakis, Yi I. Yang, Michele Parrinello Folding a small protein using harmonic linear discriminant analysis published pages: 194113, ISSN: 0021-9606, DOI: 10.1063/1.5053566 |
The Journal of Chemical Physics 149/19 | 2019-08-30 |
2018 |
Z. Faidon Brotzakis, Vittorio Limongelli, Michele Parrinello Accelerating the Calculation of Protein–Ligand Binding Free Energy and Residence Times Using Dynamically Optimized Collective Variables published pages: 743-750, ISSN: 1549-9618, DOI: 10.1021/acs.jctc.8b00934 |
Journal of Chemical Theory and Computation 15/1 | 2019-08-30 |
2018 |
Yi Isaac Yang, Haiyang Niu, Michele Parrinello Combining Metadynamics and Integrated Tempering Sampling published pages: 6426-6430, ISSN: 1948-7185, DOI: 10.1021/acs.jpclett.8b03005 |
The Journal of Physical Chemistry Letters 9/22 | 2019-08-30 |
2017 |
Vinita Jagannath, Zacharias Faidon Brotzakis, Michele Parrinello, Susanne Walitza, Edna Grünblatt Controversial Effects of D-Amino Acid Oxidase Activator (DAOA)/G72 on D-Amino Acid Oxidase (DAO) Activity in Human Neuronal, Astrocyte and Kidney Cell Lines: The N-methyl D-aspartate (NMDA) Receptor Hypofunction Point of View published pages: , ISSN: 1662-5099, DOI: 10.3389/fnmol.2017.00342 |
Frontiers in Molecular Neuroscience 10 | 2019-08-30 |
2018 |
Claudio Perego, Omar Valsson, Michele Parrinello Chemical potential calculations in non-homogeneous liquids published pages: 72305, ISSN: 0021-9606, DOI: 10.1063/1.5024631 |
The Journal of Chemical Physics 149/7 | 2019-08-30 |
2018 |
Haiyang Niu, Pablo M. Piaggi, Michele Invernizzi, Michele Parrinello Molecular dynamics simulations of liquid silica crystallization published pages: 5348-5352, ISSN: 0027-8424, DOI: 10.1073/pnas.1803919115 |
Proceedings of the National Academy of Sciences 115/21 | 2019-08-30 |
2018 |
Yi Isaac Yang, Michele Parrinello Refining Collective Coordinates and Improving Free Energy Representation in Variational Enhanced Sampling published pages: 2889-2894, ISSN: 1549-9618, DOI: 10.1021/acs.jctc.8b00231 |
Journal of Chemical Theory and Computation 14/6 | 2019-08-30 |
2017 |
Pablo M. Piaggi, Michele Parrinello Entropy based fingerprint for local crystalline order published pages: 114112, ISSN: 0021-9606, DOI: 10.1063/1.4998408 |
The Journal of Chemical Physics 147/11 | 2019-08-30 |
2018 |
Dan Mendels, GiovanniMaria Piccini, Michele Parrinello Collective Variables from Local Fluctuations published pages: 2776-2781, ISSN: 1948-7185, DOI: 10.1021/acs.jpclett.8b00733 |
The Journal of Physical Chemistry Letters 9/11 | 2019-08-30 |
2018 |
J. Runeson, M. Nava, M. Parrinello Quantum Symmetry from Enhanced Sampling Methods published pages: , ISSN: 0031-9007, DOI: 10.1103/PhysRevLett.121.140602 |
Physical Review Letters 121/14 | 2019-08-30 |
2018 |
Pablo M. Piaggi, Michele Parrinello Predicting polymorphism in molecular crystals using orientational entropy published pages: 10251-10256, ISSN: 0027-8424, DOI: 10.1073/pnas.1811056115 |
Proceedings of the National Academy of Sciences 115/41 | 2019-08-30 |
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