Drug Development with Innovative Technology and Chemical Compound Library: University Compound Project.

Domain-independent Model for Chemical Compound and Drug Name Recognition

This paper briefly describes the works that we have carried out as part of our participation in the BioCreative-IV Track-2 shared task on chemical compound and drug name recognition. We submit five runs, all of which are based on the machine learning approaches. As the machine learning techniques we use Conditional Random Field (CRF), Support Vector Machine (SVM) and a simple ensemble technique...

Drug and Chemical Compound Named Entity Recognition using Convolutional Networks

As biomedical literature continues to grow at an explosive rate, researchers are unable to process the vast amounts of information generated by one another. In order to account for this, text mining and information extraction systems have been developed in order to help researchers find information that is relevant to their respective research. However, text mining systems have also been develo...

Heuristics for chemical compound matching.

We have developed an efficient algorithm for comparing two chemical compounds, where the chemical structure is treated as a 2D graph consisting of atoms as vertices and covalent bonds as edges. Based on the concept of functional groups in chemistry, 68 atom types (vertex types) are defined for carbon, nitrogen, oxygen, and other atomic species with different environments, which has enabled dete...

Technology Roadmaps for Compound Semiconductors

The roles cited for compound semiconductors in public versions of existing technology roadmaps from the National Electronics Manufacturing Initiative, Inc., Optoelectronics Industry Development Association, Microelectronics Advanced Research Initiative on Optoelectronic Interconnects, and Optoelectronics Industry and Technology Development Association (OITDA) are discussed and compared within t...

Sample Handling - Weighting, Plating, Compound Library Management