http://www.cnr.it/ontology/cnr/individuo/prodotto/ID2284
Investigating biological systems using first principles Car-Parrinello molecular dynamics simulations (Articolo in rivista)
- Type
- Label
- Investigating biological systems using first principles Car-Parrinello molecular dynamics simulations (Articolo in rivista) (literal)
- Anno
- 2007-01-01T00:00:00+01:00 (literal)
- Alternative label
Dal Peraro, M; Ruggerone, P; Raugei, S; Gervasi, FL; Carloni, P (2007)
Investigating biological systems using first principles Car-Parrinello molecular dynamics simulations
in Current opinion in structural biology
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Dal Peraro, M; Ruggerone, P; Raugei, S; Gervasi, FL; Carloni, P (literal)
- Pagina inizio
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Note
- ISI Web of Science (WOS) (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Scuola Int Super Studi Avanzati, I-34100 Trieste, Italy; INFM Democritos, I-34100 Trieste, Italy; Univ Penn, Ctr Mol Modeling, Dept Chem, Philadelphia, PA 19104 USA; Univ Cagliari, CNR, INFM, Slacs & Phys Dept, I-09042 Monserrata, CA, Italy; Swiss Fed Inst Technol, Dept Chem & Appl Biosci, CH-6900 Lugano, Switzerland (literal)
- Titolo
- Investigating biological systems using first principles Car-Parrinello molecular dynamics simulations (literal)
- Abstract
- Density functional theory (DFT)-based Car-Parrinello molecular dynamics (CPMD) simulations describe the time evolution of molecular systems without resorting to a predefined potential energy surface. CPMD and hybrid molecular mechanics/CPMD schemes have recently enabled the calculation of redox properties of electron transfer proteins in their complex biological environment. They provided structural and spectroscopic information on novel platinum-based anticancer drugs that target DNA, also setting the basis for the construction of force fields for the metal lesion. Molecular mechanics/CPMD also lead to mechanistic hypotheses for a variety of metalloenzymes. Recent advances that increase the accuracy of DFT and the efficiency of investigating rare events are further expanding the domain of CPMD applications to biomolecules. (literal)
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