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| 003 | ES-MaUEC | ||
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| 008 | 141129s2015 gw | s |||| 0|eng d | ||
| 020 | _a9783319122113 | ||
| 024 | 7 |
_a10.1007/978-3-319-12211-3 _2doi |
|
| 050 | 4 |
_aQC571 _b.C667 2015 |
|
| 245 | 1 | 0 |
_aComputational Electrostatics for Biological Applications : _bGeometric and Numerical Approaches to the Description of Electrostatic Interaction Between Macromolecules _cedited by Walter Rocchia, Michela Spagnuolo. |
| 260 |
_aCham, Switzerland _bSpringer _c2015 |
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| 300 |
_a1 recurso en línea (XII, 306 páginas) _b92 ilustraciones, 73 ilustraciones en color |
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| 336 |
_aTexto _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
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| 520 | 3 | _aThis book presents established and new approaches to perform calculations of electrostatic interactions at the nanoscale, with particular focus on molecular biology applications. It is based on the proceedings of the Computational Electrostatics for Biological Applications international meeting, which brought together researchers in computational disciplines to discuss and explore diverse methods to improve electrostatic calculations. Fostering an interdisciplinary approach to the description of complex physical and biological problems, this book encompasses contributions originating in the fields of geometry processing, shape modeling, applied mathematics, and computational biology and chemistry. The main topics covered are theoretical and numerical aspects of the solution of the Poisson-Boltzmann equation, surveys and comparison among geometric approaches to the modelling of molecular surfaces and related discretization and computational issues. It also includes a number of contributions addressing applications in biology, biophysics and nanotechnology. The book is primarily intended as a reference for researchers in the computational molecular biology and chemistry fields. As such, it also aims at becoming a key source of information for a wide range of scientists who need to know how modeling and computing at the molecular level may influence the design and interpretation of their experiments. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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| 988 | _aEBOOK, EBSPRINGER, asignarmaterias_11febrero | ||
| 650 | 7 |
_aGráficos de ordenador _2embne _9141143 |
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| 650 | 7 |
_aBioinformática _2embne _9160489 |
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| 650 | 7 |
_aGeometría _2embne _9138192 |
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| 700 | 1 |
_aRocchia, Walter _eeditor literario _993638 _0Local |
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| 700 | 1 |
_aSpagnuolo, Michela _eeditor literario _0Local _993639 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-12211-3 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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