Machine-Learning Techniques Applied to Antibacterial Drug Discovery

Machine Learning techniques for applied Information Extraction

Drug Discovery by Machine Learning Method

The aim of this work is to create a one-class classification model using the method of support vector clustering and evaluate its usefulness in drug discovery. The one-class classification model is tested on both sonar data and 5-HT2A-binding compound data. From the results, 88.99 % accuracy is obtained for sonar data and 93.269 % testing accuracy is obtained for classification of 5-HT2Abinding...

Two Different Machine Learning Techniques for Drug-Drug Interaction Extraction

Detection of drug-drug interaction (DDI) is an important task for both patient safety and efficient health care management. In this paper, we explore the combination of two different machine-learning approaches to extract DDI: (i) a feature-based method using a SVM classifier with a set of features extracted from texts, and (ii) a kernelbased method combining 3 different kernels. Experiments co...

Advances in the Application of Machine Learning Techniques in Drug Discovery, Design and Development

Machine learning tools, in particular support vector machines (SVM), Particle Swarm Optimisation (PSO) and Genetic Programming (GP), are increasingly used in pharmaceuticals research and development. They are inherently suitable for use with 'noisy', high dimensional (many variables) data, as is commonly used in cheminformatic (i.e. In silico screening), bioinformatic (i.e. bio-marker studies, ...

Gene discovery for facioscapulohumeral muscular dystrophy by machine learning techniques.

Facioscapulohumeral muscular dystrophy (FSHD) is a neuromuscular disorder that shows a preference for the facial, shoulder and upper arm muscles. FSHD affects about one in 20-400,000 people, and no effective therapeutic strategies are known to halt disease progression or reverse muscle weakness or atrophy. Many genes may be incorrectly regulated in affected muscle tissue, but the mechanisms res...