AI Medical Compendium Journal:
Current opinion in chemical biology

Showing 11 to 14 of 14 articles

Image-based cell phenotyping with deep learning.

Current opinion in chemical biology
A cell's phenotype is the culmination of several cellular processes through a complex network of molecular interactions that ultimately result in a unique morphological signature. Visual cell phenotyping is the characterization and quantification of ...

Sequencing enabling design and learning in synthetic biology.

Current opinion in chemical biology
The ability to read and quantify nucleic acids such as DNA and RNA using sequencing technologies has revolutionized our understanding of life. With the emergence of synthetic biology, these tools are now being put to work in new ways - enabling de no...

Machine learning for target discovery in drug development.

Current opinion in chemical biology
The discovery of macromolecular targets for bioactive agents is currently a bottleneck for the informed design of chemical probes and drug leads. Typically, activity profiling against genetically manipulated cell lines or chemical proteomics is pursu...

Advancing the large-scale CCS database for metabolomics and lipidomics at the machine-learning era.

Current opinion in chemical biology
Metabolomics and lipidomics aim to comprehensively measure the dynamic changes of all metabolites and lipids that are present in biological systems. The use of ion mobility-mass spectrometry (IM-MS) for metabolomics and lipidomics has facilitated the...