De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks
By Gisbert Schneider, Man-Ling Lee, M. Stahl, Petra Schneider. 2000
209 citations recorded by the source corpus.
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
- Gisbert Schneider
- Francesca Grisoni
- Markus Hartenfeller
- Jan A. Hiss
- José Jiménez-Luna
- Robert E. W. Hancock
- Christopher D. Fjell
- Nils Weskamp
In Molecular Biology
- Gisbert Schneider
- Christopher D. Fjell
- Markus Hartenfeller
- Jan A. Hiss
- Robert E. W. Hancock
- Francesca Grisoni
- José Jiménez-Luna
- Nils Weskamp
Citations in the corpus
- Computer-based de novo design of drug-like molecules (2005, background): “Another scoring approach is the computation of molecular similarity between a known active compound and the candidate compound”
- Automated design of ligands to polypharmacological profiles (2012, methodology): “Several de novo drug design methods have been proposed previously 16-21 .”
- What Is High-Throughput Virtual Screening? A Perspective from Organic Materials Discovery (2015, unknown): “(21, 22, 23, 24, 25, 26, 27, 28, 29, 30).”
- Enabling future drug discovery by de novo design (2011, methodology): “Examples of programs us-ing the RECAP for mining and recombining molecular fragments to breed new drug-like compounds are TOPAS 53 and its direct successor FLUX.”
- Artificial intelligence in drug discovery: recent advances and future perspectives (2021, methodology): “Since the late 1990s, hybrid approaches, such as TOPAS [121], DOGS [122], and DINGOS”
- Designing antimicrobial peptides: form follows function (2011, methodology): “Forming chimaeras from two active compounds is a popular concept in computer assisted drug design, and is used by the software tools TOPAS 100 and BREED 101 .”
- Combining docking and molecular dynamic simulations in drug design (2006, background): “20 The lack of success has led to a re-examination of the underlying principles.”