ChemMine. A Compound Mining Database for Chemical Genomics1
By Thomas Girke, Li-Chang Cheng, N. Raikhel. 2005
58 citations recorded by the source corpus.
Chemical genomics is a promising new technology for studying gene functions in the context of living organisms or cell systems. It complements existing molecular and genetics tools (e.g. mutagenesis, RNAi) by allowing fine-tunable in vivo modulations of protein functions and cellular processes ([
Subfields: Computational Theory and Mathematics, Molecular Biology
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
- Tao Jiang
- Vijay S. Pande
- Oscar F. Ortiz
- Li-Chang Cheng
- Thomas Girke
- Paul A. Novick
- Yiqun Cao
- Jared Poelman
In Molecular Biology
- Tao Jiang
- Vijay S. Pande
- Oscar F. Ortiz
- Li-Chang Cheng
- Thomas Girke
- Paul A. Novick
- Yiqun Cao
- Jared Poelman
Citations in the corpus
- SWEETLEAD: an In Silico Database of Approved Drugs, Regulated Chemicals, and Herbal Isolates for Computer-Aided Drug Discovery (2013, background): “While several databases are available containing vast amounts of chemical data[22-30], when querying these databases for a given drug conflicting information is occasionally retrieved.”
- ChemmineR: a compound mining framework for R (2008, background): “To search and analyze the vast amounts of available compound and screening information, and to assemble diverse screening libraries, efficient compound analysis tools are software in this area is only commercially available, and open-source approaches are still the exception (e.g. OpenBabel, JOELib,…”