Multi-target drug design using chem-bioinformatic approaches:
This detailed book showcases recent advances in computational design of multi-target drug candidates involving various ligand and structure-based strategies. Different chem-bioinformatic modeling strategies that can be applied for design of multi-target drugs as well as important databases and web s...
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Weitere Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2019
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Ausgabe: | 1st ed. 2019 |
Schriftenreihe: | Methods in Pharmacology and Toxicology
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Schlagworte: | |
Online-Zugang: | UBR01 TUM01 Volltext |
Zusammenfassung: | This detailed book showcases recent advances in computational design of multi-target drug candidates involving various ligand and structure-based strategies. Different chem-bioinformatic modeling strategies that can be applied for design of multi-target drugs as well as important databases and web servers in connection with multi-target drug design are also featured in this collection. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of key implementation advice that will aid researchers greatly in their laboratory pursuits. Authoritative and practical, Multi-Target Drug Design Using Chem-Bioinformatic Approaches seeks to aid all scientists working in the field of drug discovery research |
Beschreibung: | Cheminformatics Approaches to Study Drug Polypharmacology -- Computational Predictions for Multi-Target Drug Design -- Computational Multi-Target Drug Design -- Multi-Target Drug Design for Neurodegenerative Diseases -- Molecular Docking Studies in Multi-Target Antitubercular Drug Discovery -- Advanced Chemometric Modeling Approaches for the Design of Multi-Target Drugs against Neurodegenerative Diseases -- Computational Studies on Natural Products for the Development of Multi-Target Drugs -- Computational Design of Multi-Target Drugs against Alzheimer's Disease -- Design of Multi-Target Directed Ligands as a Modern Approach for the Development of Innovative Drug Candidates for Alzheimer's Disease -- Virtual Screening for Dual Hsp90/B-Raf Inhibitors -- Strategies for Multi-Target Directed Ligands: Application in Alzheimer's Disease (AD) Therapeutics -- Computational Design of Multi-Target Kinase Inhibitors -- Proteochemometrics for the Prediction of Peptide Binding to Multiple HLA Class II Proteins -- Linked Open Data: Ligand-Transporter Interaction Profiling and Beyond -- Design of Novel Dual Target Hits against Malaria and Tuberculosis Using Computational Docking -- Computational Design of Multi-Target Drugs against Breast Cancer -- Computational Methods for Multi-Target Drug Designing against Mycobacterium tuberculosis -- Development of a Web-Server for Identification of Common Lead Molecules for Multiple Protein Targets -- Computational Method for Prediction of Targets for Breast Cancer Using siRNAs Approach -- Historeceptomics: Integrating a Drug's Multiple Targets (Polypharmacology) with Their Expression Pattern in Human Tissues -- Networking of Smart Drugs: A Chem-Bioinformatic Approach to Cancer Treatment |
Beschreibung: | 1 Online-Ressource (XVI, 563 Seiten) Illustrationen |
ISBN: | 9781493987337 |
DOI: | 10.1007/978-1-4939-8733-7 |
Internformat
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Datensatz im Suchindex
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dewey-full | 615 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 615 - Pharmacology and therapeutics |
dewey-raw | 615 |
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dewey-sort | 3615 |
dewey-tens | 610 - Medicine and health |
discipline | Medizin |
discipline_str_mv | Medizin |
doi_str_mv | 10.1007/978-1-4939-8733-7 |
edition | 1st ed. 2019 |
format | Electronic eBook |
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id | DE-604.BV047646005 |
illustrated | Not Illustrated |
index_date | 2024-07-03T18:48:47Z |
indexdate | 2024-07-10T09:18:11Z |
institution | BVB |
isbn | 9781493987337 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033030138 |
oclc_num | 1289764997 |
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owner_facet | DE-355 DE-BY-UBR DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (XVI, 563 Seiten) Illustrationen |
psigel | ZDB-2-PRO |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Springer New York |
record_format | marc |
series2 | Methods in Pharmacology and Toxicology |
spelling | Multi-target drug design using chem-bioinformatic approaches edited by Kunal Roy 1st ed. 2019 New York, NY Springer New York 2019 1 Online-Ressource (XVI, 563 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Methods in Pharmacology and Toxicology Cheminformatics Approaches to Study Drug Polypharmacology -- Computational Predictions for Multi-Target Drug Design -- Computational Multi-Target Drug Design -- Multi-Target Drug Design for Neurodegenerative Diseases -- Molecular Docking Studies in Multi-Target Antitubercular Drug Discovery -- Advanced Chemometric Modeling Approaches for the Design of Multi-Target Drugs against Neurodegenerative Diseases -- Computational Studies on Natural Products for the Development of Multi-Target Drugs -- Computational Design of Multi-Target Drugs against Alzheimer's Disease -- Design of Multi-Target Directed Ligands as a Modern Approach for the Development of Innovative Drug Candidates for Alzheimer's Disease -- Virtual Screening for Dual Hsp90/B-Raf Inhibitors -- Strategies for Multi-Target Directed Ligands: Application in Alzheimer's Disease (AD) Therapeutics -- Computational Design of Multi-Target Kinase Inhibitors -- Proteochemometrics for the Prediction of Peptide Binding to Multiple HLA Class II Proteins -- Linked Open Data: Ligand-Transporter Interaction Profiling and Beyond -- Design of Novel Dual Target Hits against Malaria and Tuberculosis Using Computational Docking -- Computational Design of Multi-Target Drugs against Breast Cancer -- Computational Methods for Multi-Target Drug Designing against Mycobacterium tuberculosis -- Development of a Web-Server for Identification of Common Lead Molecules for Multiple Protein Targets -- Computational Method for Prediction of Targets for Breast Cancer Using siRNAs Approach -- Historeceptomics: Integrating a Drug's Multiple Targets (Polypharmacology) with Their Expression Pattern in Human Tissues -- Networking of Smart Drugs: A Chem-Bioinformatic Approach to Cancer Treatment This detailed book showcases recent advances in computational design of multi-target drug candidates involving various ligand and structure-based strategies. Different chem-bioinformatic modeling strategies that can be applied for design of multi-target drugs as well as important databases and web servers in connection with multi-target drug design are also featured in this collection. Written for the Methods in Pharmacology and Toxicology series, chapters include the kind of key implementation advice that will aid researchers greatly in their laboratory pursuits. Authoritative and practical, Multi-Target Drug Design Using Chem-Bioinformatic Approaches seeks to aid all scientists working in the field of drug discovery research Pharmacology Roy, Kunal 1971- (DE-588)1185508783 edt Erscheint auch als Druck-Ausgabe 978-1-4939-8734-4 https://doi.org/10.1007/978-1-4939-8733-7 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Multi-target drug design using chem-bioinformatic approaches Pharmacology |
title | Multi-target drug design using chem-bioinformatic approaches |
title_auth | Multi-target drug design using chem-bioinformatic approaches |
title_exact_search | Multi-target drug design using chem-bioinformatic approaches |
title_exact_search_txtP | Multi-target drug design using chem-bioinformatic approaches |
title_full | Multi-target drug design using chem-bioinformatic approaches edited by Kunal Roy |
title_fullStr | Multi-target drug design using chem-bioinformatic approaches edited by Kunal Roy |
title_full_unstemmed | Multi-target drug design using chem-bioinformatic approaches edited by Kunal Roy |
title_short | Multi-target drug design using chem-bioinformatic approaches |
title_sort | multi target drug design using chem bioinformatic approaches |
topic | Pharmacology |
topic_facet | Pharmacology |
url | https://doi.org/10.1007/978-1-4939-8733-7 |
work_keys_str_mv | AT roykunal multitargetdrugdesignusingchembioinformaticapproaches |