Buch, Englisch, Band 1939, 324 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 831 g
Reihe: Methods in Molecular Biology
Buch, Englisch, Band 1939, 324 Seiten, HC runder Rücken kaschiert, Format (B × H): 183 mm x 260 mm, Gewicht: 831 g
Reihe: Methods in Molecular Biology
ISBN: 978-1-4939-9088-7
Verlag: Springer
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.
Zielgruppe
Professional/practitioner
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.