Bioinformatics and Drug Discovery /
| Autor Corporativo: | |
|---|---|
| Otros Autores: | , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
New York, NY :
Springer New York : Imprint: Humana,
2019.
|
| Edición: | 3rd ed. 2019. |
| Colección: | Methods in Molecular Biology,
1939 |
| Materias: |
Tabla de Contenidos:
- 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.