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lazar specifications

Information


Unique identifier OMICS_20027
Name lazar
Alternative name lazy structure–activity relationships
Software type Framework/Library
Interface Web user interface
Restrictions to use None
Input data A draw of a chemical structure or a SMILES string.
Input format SMILES
Computer skills Basic
Stability Stable
Maintained Yes

Maintainer


  • person_outline Christoph Helma

Publication for lazy structure–activity relationships

lazar citations

 (8)
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Identification of potent chromone embedded [1,2,3] triazoles as novel anti tubercular agents

2018
R Soc Open Sci
PMCID: 5936909
PMID: 29765644
DOI: 10.1098/rsos.171750
call_split See protocol

[…] A) above 7.0 and the human intestinal absorption (HIA) quantities in the 50–100% range, indicating that they may be further developed in an oral dosage form []. Lazy structure activity relationships (LAZAR) software [] predicted all the compounds as non-carcinogenic and non-mutagenic, and the probability greater than 0.025 suggesting the predictions to be reliable. The predicted favourable ADME fe […]

library_books

In Silico Prediction of Chemical Toxicity for Drug Design Using Machine Learning Methods and Structural Alerts

2018
PMCID: 5826228
PMID: 29515993
DOI: 10.3389/fchem.2018.00030

[…] n official suite for toxicity prediction and modeling using QSTR. Web servers are easier and lighter to use and will be preferred by outsiders of computational toxicology, such as medicinal chemists. Lazar is such a tool that can predict several toxicity endpoints with a user interface of drawing chemical structures (Maunz et al., ). ToxTree is an open source application that estimates toxic hazar […]

call_split

Nano Lazar: Read across Predictions for Nanoparticle Toxicities with Calculated and Measured Properties

2017
Front Pharmacol
PMCID: 5472659
PMID: 28670277
DOI: 10.3389/fphar.2017.00377
call_split See protocol

[…] The following sections give a high level overview about nano-lazar algorithms. Readers interested in unambiguous algorithm definitions should refer to the source code links in the text. […]

call_split

Pharmacokinetic and Toxicological Evaluation of a Zinc Gluconate Based Chemical Sterilant Using In Vitro and In Silico Approaches

2017
Biomed Res Int
PMCID: 5288521
PMID: 28197414
DOI: 10.1155/2017/5746768
call_split See protocol

[…] We used a modular toxicological predictive QSAR framework algorithm (LAZAR in silico toxicology, https://lazar.in-silico.ch/predict) [] based on similarity of chemical alerts. To perform the toxicological prediction in LAZAR, we designed zinc gluconate chemical structu […]

library_books

Innovative Strategies to Develop Chemical Categories Using a Combination of Structural and Toxicological Properties

2016
Front Pharmacol
PMCID: 5030828
PMID: 27708580
DOI: 10.3389/fphar.2016.00321

[…] dictions using the HESS system remains an open task.Another framework that aids identifying analogs and rating their suitability for read-across is presented by Wu et al. (). The prediction framework Lazar (Lazy Structure-Activity Relationships) resembles an automated read-across procedure (Maunz and Helma, ; Maunz et al., ). It predicts a query compound by performing a similarity search on the tr […]

library_books

Virtual screening of RAGE inhibitors using molecular docking

2016
Bioinformation
PMCID: 5267955
PMID: 28149046
DOI: 10.6026/97320630012124

[…] e biological activity of ligands. LC50 was predicted using T.E.S.T. Version 4.1 (2012, U.S. Environmental Protection Agency) software. The complete ADMET properties were calculated using ADMETSAR []. LAZAR server was used to predict the mutagenic and carcinogenic potential of the compounds []. […]

Citations

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lazar institution(s)
Institute for Physics, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany; in silico toxicology gmbh, Basel, Switzerland
lazar funding source(s)
Supported by the EU FP7 Projects OpenTox (Project Reference: 200787), ToxBank (Project Reference: 267042), and ModNanoTox (Project Reference: 266712), by the German Federal Ministry for Research project “Entwicklung einer Strategie zur Bildung von Kategorien und Definitionen neuer Kategorienfür die Endpunkte Subakute, Subchronische und Chronische Toxizität zur Minimierung von Tierver-suchen unter REACH, Teilprojekt 2” (No. 0315546B), and by Nestle AG.

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