| 000 | 03969nam a22003615i 4500 | ||
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| 001 | 233095 | ||
| 003 | ES-VaUE | ||
| 005 | 20221220020438.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 200203s2020 xxu| s |||| 0|eng d | ||
| 020 | _a9781071602829 | ||
| 024 | 7 |
_a10.1007/978-1-0716-0282-9 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC |
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| 245 | 1 | 0 |
_aQuantum Mechanics in Drug Discovery _cedited by Alexander Heifetz. |
| 250 | _a1st edition 2020 | ||
| 264 | 1 |
_aNew York, NY _bSpringer International Publising _c2020 |
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| 300 |
_a1 recurso en línea (X, 360 páginas) _b150 ilustraciones, 117 ilustraciones a 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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| 347 |
_aarchivo de texto _bPDF |
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| 490 | 0 |
_aMethods in Molecular Biology _x1940-6029 _v2114 |
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| 505 | 0 | _aCurrent and Future Challenges in Modern Drug Discovery -- QM Implementation in Drug Design: Does It Really Help? -- Guiding Medicinal Chemistry with Fragment Molecular Orbital (FMO) Method -- Analyzing Interactions with the Fragment Molecular Orbital Method -- Underappreciated Chemical Interactions in Protein-Ligand Complexes -- Geometry Optimization, Transition State Search, and Reaction Path Mapping Accomplished with the Fragment Molecular Orbital Method -- Taking Water into Account with the Fragment Molecular Orbital Method -- Computational Methods for Biochemical Simulations Implemented in GAMESS -- QM in Seconds with the Fragment Molecular Orbital and Density-Functional Tight-Binding Methods -- Protein Molecular Dynamics Simulations with Approximate QM: What Can We Learn? -- Analyzing GPCR-Ligand Interactions with the Fragment Molecular Orbital (FMO) Method -- Characterizing Rhodopsin-Arrestin Interactions with the Fragment Molecular Orbital (FMO) Method -- Characterizing Protein-Protein Interactions with the Fragment Molecular Orbital Method -- Conformational Searching with Quantum Mechanics -- User-Friendly Quantum Mechanics: Applications for Drug Discovery -- Binding Free Energy Calculation Using Quantum Mechanics Aimed for Drug Lead Optimization -- Molecular Docking Using Quantum Mechanical-Based Methods -- QM Calculations in ADMET Prediction -- Design and SAR Analysis of Covalent Inhibitors Driven by Hybrid QM/MM Simulations -- What's Next for Quantum Mechanics in Structure-Based Drug Discovery?. | |
| 520 | _aThis volume looks at applications of quantum mechanical (QM) methods in drug discovery. The chapters in this book describe how QM approaches can be applied to address key drug discovery issues, such as characterizing protein-water-ligand and protein-protein interactions, providing estimates of binding affinities, determining ligand energies and bioactive conformations, refinement of molecular geometries, scoring docked protein-ligand poses, describing molecular similarity, structure-activity-relationship (SAR) analysis, and ADMET prediction. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary software and tools, step-by-step, readily reproducible modeling protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and unique, Quantum Mechanics in Drug Discovery is a valuable resource for structural and molecular biologists, computational and medicinal chemists, pharmacologists, and drug designers. | ||
| 700 | 1 |
_aHeifetz, Alexander _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9781071602812 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781071602836 |
| 776 | 0 | 8 |
_iPrinted edition: _z9781071602843 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-1-0716-0282-9 _z(usuarios Universidad Europea de Valencia) |
| 942 |
_2lcc _cLE |
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| 988 | _aSpringer_Protocols_2020 | ||
| 999 |
_c233095 _d233095 |
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