Novel trends in high-throughput screening.
By L. Mayr, D. Bojanic. 2009
642 citations recorded by the source corpus.
Subfields: Biophysics, 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 Biophysics
In Computational Theory and Mathematics
- Jean-Louis Reymond
- Ruud Van Deursen
- Lorenz C. Blum
- Lars Ruddigkeit
- Stephen H. Bryant
- Gisbert Schneider
- Petra Schneider
- Matthias Zentgraf
In Molecular Biology
- Jean-Louis Reymond
- Ruud Van Deursen
- Lorenz C. Blum
- Lars Ruddigkeit
- Stephen H. Bryant
- Gisbert Schneider
- Petra Schneider
- Yanli Wang
Citations in the corpus
- Small-Molecule Library Subset Screening as an Aid for Accelerating Lead Identification (2014, background): “Compounds in the library fall into three main categories: (1) individual compounds from commercial sources, (2) groups of commercial compounds synthesized around specific chemical scaffolds (these sets number from tens of compounds to more than a thousand compounds), and (3) compounds synthesized fo”
- Lessons from the past and charting the future of marine natural products drug discovery and chemical biology (2012, background): “While miniaturization of assays has continued, the reduction in the quantity of neededmaterial for structure elucidation has kept pace to HTS advances (Mayr and Bojanic, 2009).”
- Benchmarking platform for ligand-based virtual screening (2016, background): “is demanding in terms of logistics, hardware/software equipment and economical feasibility [2], [3].”
- The enumeration of chemical space (2012, methodology): “25 , 26 The assays used for screening are biochemical or cell-culture assays performed in microtiter plates which can be automated to accommodate hundreds to tens of thousands of assays per day.”
- PubChem as a public resource for drug discovery (2010, background): “The human genome project has identified about 20,000 to 25,000 genes and an even larger number of transcripts and proteins, which provides great opportunities for drug target investigation [11].”
- Rethinking drug design in the artificial intelligence era (2019, background): “A typical HTS deck (10 6 –10 7 compounds) 57,58 , even with the”