Gespeichert in:
| Titel: | Structure-Based Drug Design |
|---|---|
| Von: |
edited by Marcelo A. Marti, Adrian Gustavo Turjanski, Dario Fernández Do Porto.
|
| Person: |
Marti, Marcelo A.
Turjanski, Adrian Gustavo. Fernández Do Porto, Dario. editor. |
| Körperschaft: | |
| Weitere beteiligte Personen: | , , |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
|
| Ausgabe: | 1st ed. 2024. |
| Schriftenreihe: | Computer-Aided Drug Discovery and Design,
2 |
| Schlagwörter: | |
| Medienzugang: | https://doi.org/10.1007/978-3-031-69162-1 |
| Zusammenfassung: | This volume focuses on target-oriented approximations to drug discovery, including target selection, binding pocket detection, and current uses and variants of molecular dynamics and molecular docking. The primary audience is PhD and graduates working in the field of molecular biology, structural biology, pharmaceutical sciences. |
| Umfang: | 1 Online-Ressource (IX, 256 p. 80 illus., 70 illus. in color.) |
| ISBN: | 9783031691621 |
| ISSN: | 2730-5465 ; |
Internformat
MARC
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| 505 | 0 | |a Prioritizing Drug Targets in Pathogenic Bacteria by Harnessing Structural Biology, Metabolic Analysis, and Omics Data Integration -- Regulatory small RNAs as antimicrobial drug targets -- Riboswitches as antimicrobial targets -- Pre-selection of compounds for lead identification in virtual screening campaigns -- Docking and Bias Docking -- Molecular Dynamics and its Significance in Drug Discovery -- Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening -- Integrating computational approaches from non-synonymous sequence variations to molecular structure for drug repositioning targeting the SARS-CoV-2 Spike protein. | |
| 520 | |a This volume focuses on target-oriented approximations to drug discovery, including target selection, binding pocket detection, and current uses and variants of molecular dynamics and molecular docking. The primary audience is PhD and graduates working in the field of molecular biology, structural biology, pharmaceutical sciences. | ||
| 650 | 0 | |a Medicine |x Research. | |
| 650 | 0 | |a Biology |x Research. | |
| 650 | 0 | |a Pharmacology. | |
| 650 | 0 | |a Drugs |x Design. | |
| 650 | 0 | |a Pharmaceutical chemistry. | |
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| 650 | 1 | 4 | |a Biomedical Research. |
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| 650 | 2 | 4 | |a Structure-Based Drug Design. |
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| 700 | 1 | |a Fernández Do Porto, Dario. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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Datensatz im Suchindex
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| contents | Prioritizing Drug Targets in Pathogenic Bacteria by Harnessing Structural Biology, Metabolic Analysis, and Omics Data Integration -- Regulatory small RNAs as antimicrobial drug targets -- Riboswitches as antimicrobial targets -- Pre-selection of compounds for lead identification in virtual screening campaigns -- Docking and Bias Docking -- Molecular Dynamics and its Significance in Drug Discovery -- Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening -- Integrating computational approaches from non-synonymous sequence variations to molecular structure for drug repositioning targeting the SARS-CoV-2 Spike protein. |
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| edition | 1st ed. 2024. |
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| illustrated | Not Illustrated |
| indexdate | 2025-06-23T13:27:58Z |
| institution | BVB |
| isbn | 9783031691621 |
| issn | 2730-5465 ; |
| language | English |
| open_access_boolean | |
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| physical | 1 Online-Ressource (IX, 256 p. 80 illus., 70 illus. in color.) |
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| publishDate | 2024 |
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| publisher | Springer International Publishing : Imprint: Springer, |
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| series | Computer-Aided Drug Discovery and Design, |
| series2 | Computer-Aided Drug Discovery and Design, |
| spelling | Structure-Based Drug Design [electronic resource] / edited by Marcelo A. Marti, Adrian Gustavo Turjanski, Dario Fernández Do Porto. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. 1 Online-Ressource (IX, 256 p. 80 illus., 70 illus. in color.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Computer-Aided Drug Discovery and Design, 2730-5465 ; 2 Prioritizing Drug Targets in Pathogenic Bacteria by Harnessing Structural Biology, Metabolic Analysis, and Omics Data Integration -- Regulatory small RNAs as antimicrobial drug targets -- Riboswitches as antimicrobial targets -- Pre-selection of compounds for lead identification in virtual screening campaigns -- Docking and Bias Docking -- Molecular Dynamics and its Significance in Drug Discovery -- Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening -- Integrating computational approaches from non-synonymous sequence variations to molecular structure for drug repositioning targeting the SARS-CoV-2 Spike protein. This volume focuses on target-oriented approximations to drug discovery, including target selection, binding pocket detection, and current uses and variants of molecular dynamics and molecular docking. The primary audience is PhD and graduates working in the field of molecular biology, structural biology, pharmaceutical sciences. Medicine Research. Biology Research. Pharmacology. Drugs Design. Pharmaceutical chemistry. Pharmacy. Biomedical Research. Structure-Based Drug Design. Pharmaceutics. Marti, Marcelo A. editor. edt http://id.loc.gov/vocabulary/relators/edt Turjanski, Adrian Gustavo. editor. edt http://id.loc.gov/vocabulary/relators/edt Fernández Do Porto, Dario. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031691614 Printed edition: 9783031691638 Printed edition: 9783031691645 |
| spellingShingle | Structure-Based Drug Design Computer-Aided Drug Discovery and Design, Prioritizing Drug Targets in Pathogenic Bacteria by Harnessing Structural Biology, Metabolic Analysis, and Omics Data Integration -- Regulatory small RNAs as antimicrobial drug targets -- Riboswitches as antimicrobial targets -- Pre-selection of compounds for lead identification in virtual screening campaigns -- Docking and Bias Docking -- Molecular Dynamics and its Significance in Drug Discovery -- Deep Learning Strategies for Enhanced Molecular Docking and Virtual Screening -- Integrating computational approaches from non-synonymous sequence variations to molecular structure for drug repositioning targeting the SARS-CoV-2 Spike protein. Medicine Research. Biology Research. Pharmacology. Drugs Design. Pharmaceutical chemistry. Pharmacy. Biomedical Research. Structure-Based Drug Design. Pharmaceutics. |
| title | Structure-Based Drug Design |
| title_auth | Structure-Based Drug Design |
| title_exact_search | Structure-Based Drug Design |
| title_full | Structure-Based Drug Design [electronic resource] / edited by Marcelo A. Marti, Adrian Gustavo Turjanski, Dario Fernández Do Porto. |
| title_fullStr | Structure-Based Drug Design [electronic resource] / edited by Marcelo A. Marti, Adrian Gustavo Turjanski, Dario Fernández Do Porto. |
| title_full_unstemmed | Structure-Based Drug Design [electronic resource] / edited by Marcelo A. Marti, Adrian Gustavo Turjanski, Dario Fernández Do Porto. |
| title_short | Structure-Based Drug Design |
| title_sort | structure based drug design |
| topic | Medicine Research. Biology Research. Pharmacology. Drugs Design. Pharmaceutical chemistry. Pharmacy. Biomedical Research. Structure-Based Drug Design. Pharmaceutics. |
| topic_facet | Medicine Research. Biology Research. Pharmacology. Drugs Design. Pharmaceutical chemistry. Pharmacy. Biomedical Research. Structure-Based Drug Design. Pharmaceutics. |
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