2012
DOI: 10.1021/ci200253g
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Integrated Project Views: Decision Support Platform for Drug Discovery Project Teams

Abstract: Drug discovery teams continuously have to decide which compounds to progress and which experiments to perform next, but the data required to make informed decisions is often scattered, inaccessible, or inconsistent. In particular, data tend to be stored and represented in a compound-centric or assay-centric manner rather than project-centric as often needed for effective use in drug discovery teams. The Integrated Project Views (IPV) system has been created to fill this gap; it integrates and consolidates data… Show more

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Cited by 4 publications
(6 citation statements)
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“…IDE is enabled to surface data from four data sources: IDE itself, project data, information links (ILs), 8 and annotations, as described in Table 3.…”
Section: Methodsmentioning
confidence: 99%
See 3 more Smart Citations
“…IDE is enabled to surface data from four data sources: IDE itself, project data, information links (ILs), 8 and annotations, as described in Table 3.…”
Section: Methodsmentioning
confidence: 99%
“…IDE is enabled to surface data from four data sources: IDE itself, project data, information links (ILs), 8 and annotations, as described in F I G U R E 8 Example design/compound centric views for a BACE project with the query level specified by the icon to the left of the view title. "All designs" would reflect the query that returns all project designs and is signified by a hierarchal symbol.…”
Section: Data Sourcesmentioning
confidence: 99%
See 2 more Smart Citations
“…The advancement of computational tools such as databases [1][2][3][4][5], modelling [6][7][8], decision support systems [9], simu lation [10][11][12], v isualization techniques [13][14][15][16], and web servers [17][18][19][20] have revolutionized the field of bioin formatics and mo lecular biology with the breakthrough in data processing and analysis. These computational tools received wide application in various specialized disciplines in mo lecular bio logy, including systems biology [21][22], genome analysis [23][24], population genetics [25], structural bioinformatics [26][27], and phylogenetics [28][29].…”
Section: Introductionmentioning
confidence: 99%