Big Data Analytics in Chemoinformatics and Bioinformatics

<p>　GENERAL SECTION:</p> <ol> <p> <li>CHEMOINFORMATICS AND BIOINFORMATICS BY DISCRETE MATHEMATICS AND NUMBERS: An adventure from small data to the realm of emerging big data</li> <p> <li>Robustness Concerns in High-dimensional Data Analysis and Potential Solutions</li> <p> <li>The Social Face of Big Data: Privacy, Transparency, Bias and Fairness in Algorithms</li> <p>CHEMISTRY & CHEMOINFORMATICS SECTION:</p> <p> <li>Integrating data into a complex Adverse Outcome Pathway</li> <p> <li>Big data and deep learning: extracting and revising chemical knowledge from data</li> <p> <li>Retrosynthetic space persuades by big data descriptors, by Claudiu N Lungu</li> <p> <li>Approaching history of chemistry through big data on chemical reactions and compounds</li> <p> <li>Combinatorial Techniques for Large Data Sets: Hypercubes and Halocarbons</li> <p> <li>Development of QSAR/QSPR/QSTR models based on Electrophilicity index: A Conceptual DFT based descriptor </li> <p> <li>Pharmacophore based virtual screening of large compound databases can aid "big data" problems in drug discovery</li> <p> <li>A New Robust Classifier to Detect Hot-Spots and Null-Spots in Protein-Protein Interface: Validation of Binding Pocket and Identification of Inhibitors in in-vitro and in-vivo Models</li> <p> <li>Mining Big Data in Drug Discovery – Triaging and Decision Trees</li> <p>BIOINFORMATICS AND COMPUTATIOANL TOXICOLOGY SECTION: </p> <p> <li>Use of proteomics data and proteomics based biodescriptors in the estimation of bioactivity/ toxicity of chemicals and nanosubstances</li> <p> <li>Mapping Interaction between Big spaces; active space from Protein structure and available chemical space </li> <p> <li>Artificial Intelligence, Big Data and Machine Learning approaches in Genome-wide SNP based prediction for Precision Medicine & Drug Discovery</li> <p> <li>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</li> <p> <li>Scalable QSAR Systems for Predictive Toxicology </li> <p> <li>From big data to complex network: a navigation through the maze of drug-target interaction</li> <p> <li>Dissecting big RNA-Seq cancer data using machine learning to find disease-associated genes and the causal mechanism</li> </ol>