Library characterization and modeling for 130 nm and 90 nm SoC design

2004 ◽  
Author(s):  
W. Roethig
Keyword(s):  
Library Characterization

A physical and scalable aging model for digital library characterization

2014 ◽  
Author(s):  
Haldun Kufluoglu ◽  
C. Cirba ◽  
M. Chu ◽  
M. Chen ◽  
S. Datla ◽  
...  
Keyword(s):  
Digital Library ◽  
Aging Model ◽  
Library Characterization

scholarly journals Extending the small molecule similarity principle to all levels of biology

2019 ◽  
Author(s):  
Miquel Duran-Frigola ◽  
Eduardo Pauls ◽  
Oriol Guitart-Pla ◽  
Martino Bertoni ◽  
Víctor Alcalde ◽  
...  
Keyword(s):  
Small Molecules ◽  
Biological Networks ◽  
Target Identification ◽  
Chemical Properties ◽  
Chemical Information ◽  
Chemical Similarity ◽  
Similarity Principle ◽  
Genetic Perturbations ◽  
Chemical Descriptors ◽  
Library Characterization

AbstractWe present the Chemical Checker (CC), a resource that provides processed, harmonized and integrated bioactivity data on 800,000 small molecules. The CC divides data into five levels of increasing complexity, ranging from the chemical properties of compounds to their clinical outcomes. In between, it considers targets, off-targets, perturbed biological networks and several cell-based assays such as gene expression, growth inhibition and morphological profilings. In the CC, bioactivity data are expressed in a vector format, which naturally extends the notion of chemical similarity between compounds to similarities between bioactivity signatures of different kinds. We show how CC signatures can boost the performance of drug discovery tasks that typically capitalize on chemical descriptors, including target identification and library characterization. Moreover, we demonstrate and experimentally validate that CC signatures can be used to reverse and mimic biological signatures of disease models and genetic perturbations, options that are otherwise impossible using chemical information alone.

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