TY - JOUR
T1 - Scientific competency questions as the basis for semantically enriched open pharmacological space development
AU - Azzaoui, Kamal
AU - Jacoby, Edgar
AU - Senger, Stefan
AU - Rodríguez, Emiliano Cuadrado
AU - Loza, Mabel
AU - Zdrazil, Barbara
AU - Pinto, Marta
AU - Williams, Antony J.
AU - de la Torre, Victor
AU - Mestres, Jordi
AU - Pastor, Manuel
AU - Taboureau, Olivier
AU - Rarey, Matthias
AU - Chichester, Christine
AU - Pettifer, Steve
AU - Blomberg, Niklas
AU - Harland, Lee
AU - Williams-Jones, Bryn
AU - Ecker, Gerhard F.
PY - 2013
Y1 - 2013
N2 - Molecular information systems play an important part in modern data-driven drug discovery. They do not only support decision making but also enable new discoveries via association and inference. In this review, we outline the scientific requirements identified by the Innovative Medicines Initiative (IMI) Open PHACTS consortium for the design of an open pharmacological space (OPS) information system. The focus of this work is the integration of compound–target–pathway–disease/phenotype data for public and industrial drug discovery research. Typical scientific competency questions provided by the consortium members will be analyzed based on the underlying data concepts and associations needed to answer the questions. Publicly available data sources used to target these questions as well as the need for and potential of semantic web-based technology will be presented.
AB - Molecular information systems play an important part in modern data-driven drug discovery. They do not only support decision making but also enable new discoveries via association and inference. In this review, we outline the scientific requirements identified by the Innovative Medicines Initiative (IMI) Open PHACTS consortium for the design of an open pharmacological space (OPS) information system. The focus of this work is the integration of compound–target–pathway–disease/phenotype data for public and industrial drug discovery research. Typical scientific competency questions provided by the consortium members will be analyzed based on the underlying data concepts and associations needed to answer the questions. Publicly available data sources used to target these questions as well as the need for and potential of semantic web-based technology will be presented.
U2 - 10.1016/j.drudis.2013.05.008
DO - 10.1016/j.drudis.2013.05.008
M3 - Journal article
C2 - 23702085
VL - 18
SP - 843
EP - 852
JO - Drug Discovery Today
JF - Drug Discovery Today
SN - 1359-6446
IS - 17-18
ER -