Bioinformatics and drug discovery:
This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics, informatics, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identification, genome analysis, ch...
Gespeichert in:
Weitere Verfasser: | , |
---|---|
Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
New York, NY
Springer New York
2019
|
Ausgabe: | 3rd ed. 2019 |
Schriftenreihe: | Methods in Molecular Biology
1939 |
Schlagworte: | |
Online-Zugang: | UBR01 TUM01 Volltext |
Zusammenfassung: | This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics, informatics, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identification, genome analysis, cheminformatics, protein analysis, and text mining. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, software workflows, reagents and on-line resources, together with step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Bioinformatics and Drug Discovery, Third Edition is a valuable resource for anyone interested in drug design, including academicians (biologists, informaticists and data scientists, chemists, and biochemists), clinicians, and pharmaceutical scientists |
Beschreibung: | Miniaturized Checkerboard Assays to Measure Antibiotic Interactions -- High-Throughput Screening for Drug Combinations -- Post-Processing of Large Bioactivity Data -- How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM) -- A Guide to Dictionary-Based Text Mining -- Leveraging Big Data to Transform Drug Discovery -- How to Prepare a Compound Collection Prior to Virtual Screening -- Building a Quantitative Structure-Property Relationship (QSPR) Model -- Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility Mass Spectrometry (IM-MS) -- A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine -- Omics Data Integration and Analysis for Systems Pharmacology -- Bioinformatics Based Tools and Software in Clinical Research: A New Emerging Area -- Text Mining for Drug Discovery -- Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning -- Drug Signature Detection Based on L1000 Genomic and Proteomic Big Data -- Drug Effect Prediction by Integrating L1000 Genomic and Proteomic Big Data -- A Bayesian Network Approach to Disease Subtype Discovery |
Beschreibung: | 1 Online-Ressource (XI, 324 Seiten) Illustrationen |
ISBN: | 9781493990894 |
DOI: | 10.1007/978-1-4939-9089-4 |
Internformat
MARC
LEADER | 00000nmm a2200000zc 4500 | ||
---|---|---|---|
001 | BV047639862 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
007 | cr|uuu---uuuuu | ||
008 | 211214s2019 |||| o||u| ||||||eng d | ||
020 | |a 9781493990894 |c Online |9 978-1-4939-9089-4 | ||
024 | 7 | |a 10.1007/978-1-4939-9089-4 |2 doi | |
035 | |a (ZDB-2-PRO)978-1-4939-9089-4 | ||
035 | |a (OCoLC)1289763927 | ||
035 | |a (DE-599)BVBBV047639862 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-355 |a DE-91 | ||
082 | 0 | |a 615.19 | |
245 | 1 | 0 | |a Bioinformatics and drug discovery |c edited by Richard S. Larson, Tudor I. Oprea |
250 | |a 3rd ed. 2019 | ||
264 | 1 | |a New York, NY |b Springer New York |c 2019 | |
300 | |a 1 Online-Ressource (XI, 324 Seiten) |b Illustrationen | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
490 | 0 | |a Methods in Molecular Biology | |
490 | 0 | |a 1939 | |
500 | |a Miniaturized Checkerboard Assays to Measure Antibiotic Interactions -- High-Throughput Screening for Drug Combinations -- Post-Processing of Large Bioactivity Data -- How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM) -- A Guide to Dictionary-Based Text Mining -- Leveraging Big Data to Transform Drug Discovery -- How to Prepare a Compound Collection Prior to Virtual Screening -- Building a Quantitative Structure-Property Relationship (QSPR) Model -- Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility Mass Spectrometry (IM-MS) -- A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine -- Omics Data Integration and Analysis for Systems Pharmacology -- Bioinformatics Based Tools and Software in Clinical Research: A New Emerging Area -- Text Mining for Drug Discovery -- Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning -- Drug Signature Detection Based on L1000 Genomic and Proteomic Big Data -- Drug Effect Prediction by Integrating L1000 Genomic and Proteomic Big Data -- A Bayesian Network Approach to Disease Subtype Discovery | ||
520 | |a This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics, informatics, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identification, genome analysis, cheminformatics, protein analysis, and text mining. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, software workflows, reagents and on-line resources, together with step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Bioinformatics and Drug Discovery, Third Edition is a valuable resource for anyone interested in drug design, including academicians (biologists, informaticists and data scientists, chemists, and biochemists), clinicians, and pharmaceutical scientists | ||
650 | 4 | |a Pharmaceutical technology | |
650 | 4 | |a Bioinformatics | |
700 | 1 | |a Larson, Richard S. |0 (DE-588)1185423605 |4 edt | |
700 | 1 | |a Oprea, Tudor I. |0 (DE-588)129943304 |4 edt | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-1-4939-9090-0 |
856 | 4 | 0 | |u https://doi.org/10.1007/978-1-4939-9089-4 |x Verlag |z URL des Erstveröffentlichers |3 Volltext |
912 | |a ZDB-2-PRO | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-033024068 | ||
966 | e | |u https://doi.org/10.1007/978-1-4939-9089-4 |l UBR01 |p ZDB-2-PRO |x Verlag |3 Volltext | |
966 | e | |u https://doi.org/10.1007/978-1-4939-9089-4 |l TUM01 |p ZDB-2-PRO |x Verlag |3 Volltext |
Datensatz im Suchindex
_version_ | 1804183092494073856 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author2 | Larson, Richard S. Oprea, Tudor I. |
author2_role | edt edt |
author2_variant | r s l rs rsl t i o ti tio |
author_GND | (DE-588)1185423605 (DE-588)129943304 |
author_facet | Larson, Richard S. Oprea, Tudor I. |
building | Verbundindex |
bvnumber | BV047639862 |
collection | ZDB-2-PRO |
ctrlnum | (ZDB-2-PRO)978-1-4939-9089-4 (OCoLC)1289763927 (DE-599)BVBBV047639862 |
dewey-full | 615.19 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 615 - Pharmacology and therapeutics |
dewey-raw | 615.19 |
dewey-search | 615.19 |
dewey-sort | 3615.19 |
dewey-tens | 610 - Medicine and health |
discipline | Medizin |
discipline_str_mv | Medizin |
doi_str_mv | 10.1007/978-1-4939-9089-4 |
edition | 3rd ed. 2019 |
format | Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03770nmm a2200445zc 4500</leader><controlfield tag="001">BV047639862</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">211214s2019 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9781493990894</subfield><subfield code="c">Online</subfield><subfield code="9">978-1-4939-9089-4</subfield></datafield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/978-1-4939-9089-4</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ZDB-2-PRO)978-1-4939-9089-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1289763927</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047639862</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-355</subfield><subfield code="a">DE-91</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">615.19</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bioinformatics and drug discovery</subfield><subfield code="c">edited by Richard S. Larson, Tudor I. Oprea</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">3rd ed. 2019</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">New York, NY</subfield><subfield code="b">Springer New York</subfield><subfield code="c">2019</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource (XI, 324 Seiten)</subfield><subfield code="b">Illustrationen</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Methods in Molecular Biology</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">1939</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Miniaturized Checkerboard Assays to Measure Antibiotic Interactions -- High-Throughput Screening for Drug Combinations -- Post-Processing of Large Bioactivity Data -- How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM) -- A Guide to Dictionary-Based Text Mining -- Leveraging Big Data to Transform Drug Discovery -- How to Prepare a Compound Collection Prior to Virtual Screening -- Building a Quantitative Structure-Property Relationship (QSPR) Model -- Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility Mass Spectrometry (IM-MS) -- A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine -- Omics Data Integration and Analysis for Systems Pharmacology -- Bioinformatics Based Tools and Software in Clinical Research: A New Emerging Area -- Text Mining for Drug Discovery -- Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning -- Drug Signature Detection Based on L1000 Genomic and Proteomic Big Data -- Drug Effect Prediction by Integrating L1000 Genomic and Proteomic Big Data -- A Bayesian Network Approach to Disease Subtype Discovery</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics, informatics, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identification, genome analysis, cheminformatics, protein analysis, and text mining. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, software workflows, reagents and on-line resources, together with step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Bioinformatics and Drug Discovery, Third Edition is a valuable resource for anyone interested in drug design, including academicians (biologists, informaticists and data scientists, chemists, and biochemists), clinicians, and pharmaceutical scientists</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Pharmaceutical technology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Larson, Richard S.</subfield><subfield code="0">(DE-588)1185423605</subfield><subfield code="4">edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Oprea, Tudor I.</subfield><subfield code="0">(DE-588)129943304</subfield><subfield code="4">edt</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-1-4939-9090-0</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1007/978-1-4939-9089-4</subfield><subfield code="x">Verlag</subfield><subfield code="z">URL des Erstveröffentlichers</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-2-PRO</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033024068</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4939-9089-4</subfield><subfield code="l">UBR01</subfield><subfield code="p">ZDB-2-PRO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://doi.org/10.1007/978-1-4939-9089-4</subfield><subfield code="l">TUM01</subfield><subfield code="p">ZDB-2-PRO</subfield><subfield code="x">Verlag</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
id | DE-604.BV047639862 |
illustrated | Not Illustrated |
index_date | 2024-07-03T18:47:40Z |
indexdate | 2024-07-10T09:17:57Z |
institution | BVB |
isbn | 9781493990894 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033024068 |
oclc_num | 1289763927 |
open_access_boolean | |
owner | DE-355 DE-BY-UBR DE-91 DE-BY-TUM |
owner_facet | DE-355 DE-BY-UBR DE-91 DE-BY-TUM |
physical | 1 Online-Ressource (XI, 324 Seiten) Illustrationen |
psigel | ZDB-2-PRO |
publishDate | 2019 |
publishDateSearch | 2019 |
publishDateSort | 2019 |
publisher | Springer New York |
record_format | marc |
series2 | Methods in Molecular Biology 1939 |
spelling | Bioinformatics and drug discovery edited by Richard S. Larson, Tudor I. Oprea 3rd ed. 2019 New York, NY Springer New York 2019 1 Online-Ressource (XI, 324 Seiten) Illustrationen txt rdacontent c rdamedia cr rdacarrier Methods in Molecular Biology 1939 Miniaturized Checkerboard Assays to Measure Antibiotic Interactions -- High-Throughput Screening for Drug Combinations -- Post-Processing of Large Bioactivity Data -- How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM) -- A Guide to Dictionary-Based Text Mining -- Leveraging Big Data to Transform Drug Discovery -- How to Prepare a Compound Collection Prior to Virtual Screening -- Building a Quantitative Structure-Property Relationship (QSPR) Model -- Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility Mass Spectrometry (IM-MS) -- A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine -- Omics Data Integration and Analysis for Systems Pharmacology -- Bioinformatics Based Tools and Software in Clinical Research: A New Emerging Area -- Text Mining for Drug Discovery -- Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning -- Drug Signature Detection Based on L1000 Genomic and Proteomic Big Data -- Drug Effect Prediction by Integrating L1000 Genomic and Proteomic Big Data -- A Bayesian Network Approach to Disease Subtype Discovery This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics, informatics, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identification, genome analysis, cheminformatics, protein analysis, and text mining. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, software workflows, reagents and on-line resources, together with step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Bioinformatics and Drug Discovery, Third Edition is a valuable resource for anyone interested in drug design, including academicians (biologists, informaticists and data scientists, chemists, and biochemists), clinicians, and pharmaceutical scientists Pharmaceutical technology Bioinformatics Larson, Richard S. (DE-588)1185423605 edt Oprea, Tudor I. (DE-588)129943304 edt Erscheint auch als Druck-Ausgabe 978-1-4939-9090-0 https://doi.org/10.1007/978-1-4939-9089-4 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | Bioinformatics and drug discovery Pharmaceutical technology Bioinformatics |
title | Bioinformatics and drug discovery |
title_auth | Bioinformatics and drug discovery |
title_exact_search | Bioinformatics and drug discovery |
title_exact_search_txtP | Bioinformatics and drug discovery |
title_full | Bioinformatics and drug discovery edited by Richard S. Larson, Tudor I. Oprea |
title_fullStr | Bioinformatics and drug discovery edited by Richard S. Larson, Tudor I. Oprea |
title_full_unstemmed | Bioinformatics and drug discovery edited by Richard S. Larson, Tudor I. Oprea |
title_short | Bioinformatics and drug discovery |
title_sort | bioinformatics and drug discovery |
topic | Pharmaceutical technology Bioinformatics |
topic_facet | Pharmaceutical technology Bioinformatics |
url | https://doi.org/10.1007/978-1-4939-9089-4 |
work_keys_str_mv | AT larsonrichards bioinformaticsanddrugdiscovery AT opreatudori bioinformaticsanddrugdiscovery |