Virtual Screening for Bioactive Molecules
By Hans-Joachim Böhm, Gisbert Schneider. 2000
177 citations recorded by the source corpus.
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Mukund Deshpande
- George Karypis
- Michihiro Kuramochi
- Nikil Wale
- Ian A. Watson
- Xifeng Yan
- Jiawei Han
- Charu C. Aggarwal
Citations in the corpus
- A guide to drug discovery: Hit and lead generation: beyond high-throughput screening (2003, methodology): “These computational algorithms are often based on sub-structural analysis methods, similarity-searching techniques or artificial neural network”
- Frequent substructure-based approaches for classifying chemical compounds (2003, methodology): “The 1990s saw the widespread adoption of high-throughput screening (HTS) and ultra HTS [13], [35], which use highly automated techniques to conduct the biological assays and can be used to screen a large number of compounds.”
- Comparison of descriptor spaces for chemical compound retrieval and classification (2006, methodology): “We will refer to this descriptor space as FS .”
- Frequent sub-structure-based approaches for classifying chemical compounds (2005, methodology): “The 1990s saw the widespread adoption of high-throughput screening (HTS) and ultra HTS [ 13 ], [35], which use highly automated techniques to conduct the biological assays and can be used to screen a large number of compounds.”