Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology 1st Edition – eBook PDF

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology 1st Edition – Ebook PDF Instant Delivery – ISBN(s): 9780323857130,9780323857147,0323857132, 0323857140

Product details:

• ISBN-10 ‏ : ‎ 0323857140
• ISBN-13 ‏ : ‎ 9780323857147
• Author: Subhash C. Basak, Marjan Vračko

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications.

Table contents:

1 GENERAL SECTION:

1. CHEMOINFORMATICS AND BIOINFORMATICS BY DISCRETE MATHEMATICS AND NUMBERS: An adventure from small data to the realm of emerging big data
2. Robustness Concerns in High-dimensional Data Analysis and Potential Solutions
3. The Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms

2 CHEMISTRY & CHEMOINFORMATICS SECTION:

1.  Integrating data into a complex Adverse Outcome Pathway
2. Big data and deep learning: extracting and revising chemical knowledge from data
3. Retrosynthetic space persuades by big data descriptors, by Claudiu N Lungu
4. Approaching history of chemistry through big data on chemical reactions and compounds
5. Combinatorial Techniques for Large Data Sets: Hypercubes and Halocarbons
6. Development of QSAR/QSPR/QSTR models based on Electrophilicity index: A Conceptual DFT based descriptor
7. Pharmacophore based virtual screening of large compound databases can aid “big data” problems in drug discovery
8. A New Robust Classifier to Detect Hot-Spots and Null-Spots in Protein-Protein Interface: Validation of Binding Pocket and Identification of
9. Inhibitors in in-vitro and in-vivo Models
10. Mining Big Data in Drug Discovery – Triaging and Decision Trees

BIOINFORMATICS AND COMPUTATIOANL TOXICOLOGY SECTION:

1. Use of proteomics data and proteomics based biodescriptors in the estimation of bioactivity/ toxicity of chemicals and nanosubstances
2. Mapping Interaction between Big spaces; active space from Protein structure and available chemical space
3. Artificial Intelligence, Big Data and Machine Learning approaches in Genome-wide SNP based prediction for Precision Medicine & Drug Discovery
4. Applications of alignment-free sequence descriptors (AFSDs) in the characterization of sequences in the age of big data: A case study with Zika virus, SARS, MERS, and COVID-19
5. Scalable QSAR Systems for Predictive Toxicology
6. From big data to complex network: a navigation through the maze of drug-target interaction
7. Dissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism

People also search:

data analytics in cancer treatment

uga bioinformatics

big data in chemistry

why bioinformatics

bioinformatics and data analysis