A Common Reference Framework for Analyzing/Comparing Proteins and Ligands. Fingerprints for Ligands And Proteins (FLAP): Theory and Application

By Massimo Baroni, G. Cruciani, Simone Sciabola, Francesca Perruccio, J. Mason. Journal of Chemical Information and Modeling, 2007

404 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Molecular Biology, Spectroscopy

View Paper: https://www.semanticscholar.org/paper/44a517ad761f0627179e1dead30fb356e7ea1f27

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

1. Sheng-yong Yang
2. Giulio Rastelli
3. A. Hopkins
4. Luca Pinzi
5. Gisbert Schneider

In Molecular Biology

1. Sheng-yong Yang
2. Giulio Rastelli
3. A. Hopkins
4. Luca Pinzi
5. Roderick E. Hubbard

In Spectroscopy

1. A. Hopkins

Citations in the corpus

• Molecular Docking: Shifting Paradigms in Drug Discovery (2019, methodology): “Finally, the performance of the FLAP docking program [89] in discriminating active from inactive compounds extracted from DUD-e [90], which is a database useful to benchmark and validate docking protocols, was assessed.”
• Network pharmacology: the next paradigm in drug discovery. (2008, methodology): “Structural bioinformatics methods that map gene family sequence alignments onto the structural information of protein binding sites provide a valuable first-order assessment of likely selectivity and promiscuity within a gene famil”
• Pharmacophore modeling and applications in drug discovery: challenges and recent advances. (2010, background): “26, 622–633 27 Baroni, M. et al. (2007) A common reference framework for analyzing/comparing”