eSPC, an online data analysis platform for molecular biophysics

Facebook Platform as the Social Business and Marketing Model for Cosmetic Surgery: An Online Study

ChemSAR: an online pipelining platform for molecular SAR modeling

BACKGROUND In recent years, predictive models based on machine learning techniques have proven to be feasible and effective in drug discovery. However, to develop such a model, researchers usually have to combine multiple tools and undergo several different steps (e.g., RDKit or ChemoPy package for molecular descriptor calculation, ChemAxon Standardizer for structure preprocessing, scikit-learn...

Statistical Inference for Big Data Problems in Molecular Biophysics

We highlight the role of statistical inference techniques in providing biological insights from analyzing long time-scale molecular simulation data. Technological and algorithmic improvements in computation have brought molecular simulations to the forefront of techniques applied to investigating the basis of living systems. These longer, increasingly complex simulations are reaching petabyte s...

Molecular Biophysics

This book is a collection of review papers presented at a meeting held at Squaw Valley, California in the summer of 1964. Most of them are concerned with methods of chemical physics as applied to biological problems. The exception is an excellent article on molecular genetics by F. Gros, entitled "The Cell Machinery." It does not include, however, the recent work on the genetic code by Khorana....

Expression Profiler: next generation - an online platform for analysis of microarray data

Expression Profiler (EP, http://www.ebi.ac.uk/expressionprofiler) is a web-based platform for microarray gene expression and other functional genomics-related data analysis. The new architecture, Expression Profiler: next generation (EP:NG), modularizes the original design and allows individual analysis-task-related components to be developed by different groups and yet still seamlessly to work...