2015
DOI: 10.1021/acs.jcim.5b00136
|View full text |Cite
|
Sign up to set email alerts
|

LiSiCA: A Software for Ligand-Based Virtual Screening and Its Application for the Discovery of Butyrylcholinesterase Inhibitors

Abstract: We developed LiSiCA (ligand similarity using clique algorithm)--ligand-based virtual screening software that uses a fast maximum clique algorithm to find two- and three-dimensional similarities between pairs of molecules and applied it to the discovery of novel potent butyrylcholinesterase inhibitors. LiSiCA, which runs in parallel on multiple processor cores, was successfully tested on the Database of Useful Decoys-Enhanced, to evaluate its ability to discriminate active molecules from decoys. We then applied… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
51
0

Year Published

2016
2016
2024
2024

Publication Types

Select...
8
1

Relationship

2
7

Authors

Journals

citations
Cited by 77 publications
(52 citation statements)
references
References 35 publications
1
51
0
Order By: Relevance
“…Retinol acetate was used as the reference compound for similarity searching in a database that comprises a total of 2924 worldwide commercially available drugs and nutraceuticals approved by U.S. Food and Drug Administration (FDA). This screening was performed using LiSiCA v1.0 (Ligand Similarity using Clique Algorithm) software [32], and similarities were expressed using the Tanimoto coefficient [33]. The structural data of compounds retrieved from similarity screening, as well as putrescine and spermidine, Tc PAT12 natural ligands.…”
Section: Methodsmentioning
confidence: 99%
“…Retinol acetate was used as the reference compound for similarity searching in a database that comprises a total of 2924 worldwide commercially available drugs and nutraceuticals approved by U.S. Food and Drug Administration (FDA). This screening was performed using LiSiCA v1.0 (Ligand Similarity using Clique Algorithm) software [32], and similarities were expressed using the Tanimoto coefficient [33]. The structural data of compounds retrieved from similarity screening, as well as putrescine and spermidine, Tc PAT12 natural ligands.…”
Section: Methodsmentioning
confidence: 99%
“…A definite confirmation of the usefulness of this method will come from experimental studies, which are planned in the future. It is also our plan to implement this method in LiSiCA, [24] our ligand-based virtual screening software, to enable searching large databases for similar ligands not only on the basis of atom type similarity but also based on possible bioisosteric or scaffold hopping replacements.…”
Section: Resultsmentioning
confidence: 99%
“…With LiSiCA we obtained an average area under the ROC curve of 0.71 ± 0.15 and 0.67 ± 0.16, for 2D and 3D screening respectively, whereas with ShaEP we obtained an average of 0.57 ± 0.11, which is significantly lower compared to the results of both the LiSiCA’s screening options. We also employed LiSiCA for the discovery of new nanomolar butyrylcholinesterase inhibitors [14]; we used the bioactive conformation of a known inhibitor (PDB code: 3F9) [19] obtained from the butyrylcholinesterase enzyme (PDB ID: 4TPK) as a reference molecule and screened it against the ZINC Drugs Now database using the LiSiCA’s 3D option. To cover as much conformational space as possible, we initially prepared on average 188 conformers per each database compound.…”
Section: Resultsmentioning
confidence: 99%
“…The developed plugin represents an interface between PyMOL and LiSiCA, an LBVS software based on a graph theoretical maximum clique algorithm (http://insilab.org/maxclique) [13, 14]. The main purpose of this interface is to enable visualization of large amounts of data returned from LiSiCA’s output within the preferred environment of many researchers.…”
Section: Introductionmentioning
confidence: 99%