Revised classification of kinases based on bioactivity data: the importance of data density and choice of visualization

Paricharak, Shardul; Klenka, Tom; Augustin, Martin; Patel, Umesh A.; Bender, Andreas

doi:10.1186/1758-2946-5-s1-p24

Cited by 2 publications

(2 citation statements)

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“…Recent directions in the area comprise the inclusion of further biological data sources, e.g. from biological networks and phylogenetics29,30 as well as gene expression data 31. Several successful applications of target prediction algorithms32–34 underline the increasing accuracy of such data‐driven approaches and point towards a bright future given the increase in available data sources 35,36.…”

Section: Discussionmentioning

confidence: 99%

Effects of Fenton Pre‐Treatment on Waste Activated Sludge Properties

Erden

Filibeli

2011

CLEAN Soil Air Water

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Research Article Effects of Fenton Pre-Treatment on Waste Activated Sludge PropertiesFenton process was investigated for the purpose of biological sludge disintegration. The Box-Wilson experimental design was employed to evaluate the effects of major process variables (Fe(II) and H 2 O 2 concentrations) on both disintegration and dewatering performance of sludge. Results showed that 4 g Fe(II)/kg total solids (TSs) and 60 g H 2 O 2 /kg TS are efficient for floc disintegration. Fenton pre-treatment enhanced the biodegradability of sludge. For 4 g Fe(II)/kg TS and 60 g H 2 O 2 /kg TS, 19.4% higher methane production was achieved compared to raw sludge in biochemical methane potential assay. Fenton pre-treatment resulted in the release of organic sludge components into the liquid phase. For 4 g Fe(II)/kg TS and 60 g H 2 O 2 /kg TS, dissolved organic carbon and total nitrogen in sludge's supernatant increased by 75.74 and 60.60%, respectively. Fenton pre-treatment enhanced the filterability of sludge and it can be applied for conditioning purpose before mechanical dewatering units.

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Section: Discussionmentioning

confidence: 99%

Effects of Fenton Pre‐Treatment on Waste Activated Sludge Properties

Erden

Filibeli

2011

CLEAN Soil Air Water

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“…[ 28 ] Recent directions in the area comprise the inclusion of further biological data sources, e.g. from biological networks and phylogenetics[ 29 , 30 ] as well as gene expression data. [ 31 ] Several successful applications of target prediction algorithms[ 32 – 34 ] underline the increasing accuracy of such data-driven approaches and point towards a bright future given the increase in available data sources.…”

Section: Discussionmentioning

confidence: 99%

Cheminformatics Research at the Unilever Centre for Molecular Science Informatics Cambridge

Fuchs

Bender

Glen

2015

Molecular Informatics

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The Centre for Molecular Informatics, formerly Unilever Centre for Molecular Science Informatics (UCMSI), at the University of Cambridge is a world-leading driving force in the field of cheminformatics. Since its opening in 2000 more than 300 scientific articles have fundamentally changed the field of molecular informatics. The Centre has been a key player in promoting open chemical data and semantic access. Though mainly focussing on basic research, close collaborations with industrial partners ensured real world feedback and access to high quality molecular data. A variety of tools and standard protocols have been developed and are ubiquitous in the daily practice of cheminformatics. Here, we present a retrospective of cheminformatics research performed at the UCMSI, thereby highlighting historical and recent trends in the field as well as indicating future directions.

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Revised classification of kinases based on bioactivity data: the importance of data density and choice of visualization

Cited by 2 publications

References 1 publication

Effects of Fenton Pre‐Treatment on Waste Activated Sludge Properties

Effects of Fenton Pre‐Treatment on Waste Activated Sludge Properties

Cheminformatics Research at the Unilever Centre for Molecular Science Informatics Cambridge

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