qsardb.org

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Country Estonia
IP Address 193.40.7.209

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Title

Home | QsarDB

Description

QsarDB is a smart repository for (Q)SAR/QSPR models and datasets, ready for discovery, exploring, and citing.

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utf-8

No	Meta Name	Value
1	viewport	width=device-width, initial-scale=1
2	author	Geven Piir

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Type	Status
HTML 5
Responsive Website

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Text / Code Ratio 22.36 %

qsardb.org has a website text/code ratio of 22.36 %. Search engine crawlers tend to not pick up pages with inadequate content.

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Titles

No	Text
1	Welcome to qsar database

No	Text
1	Qsardb is a smart repository for (q)sar/qspr models and datasets, ready for discovery, exploring, citing and predicting.
2	Transparent qsar data
3	Cite qsar data
4	Explore chemicals
5	Explore models
6	Recent submissions
7	Recent blog posts

No	Text
1	About
2	Guidelines
3	Contacts

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No	Text
1	QsarDB
2	Ineris
3	Chemoinformatics Research Group from Liverpool John Moores University
4	GUIDELINES
5	Molecular Technology

LINK ANALYSIS

Total Link Count: 40

Internal Link Count : 33

No	Text	Type
1	QsarDB	image
2	home	text
3	Repository	text
4	guidelines	text
5	software	text
6	Blog	text
7	Read more about QsarDB	text
8	Read tutorial	text
9	Download editor	text
10	Upload archive	text
11	Read more	text
12	Browse	text
13	Visualize	text
14	Predict	text
15	The last quarter of 2019 brought two new communities to the QsarDB, namely, Ineris (France) and Chemoinformatics Research Group from Liverpool John Moores University (England).	text
16	19th International Workshop on (Quantative) Structure-Activity Relations*ps in Environmental and Health Sciences will be in Durham, NC, June 8-11, 2020.	image
17	Lisa Bang has developed a simple QsarDB archive pa**r for the Python programming language. This pa**r can be useful to someone interested in reproducing the QSAR provided in the QsarDB archive format.	text
18	This summer, QsarDB’s main website underwent a major upgrade. The visual side was redesigned to have a modern look, but it was only a small part of the effort. Most of the work went into improving the doc***entation and its results are available in the new section, GUIDELINES.	text
19	What is QsarDB	text
20	How to cite	text
21	Citations	text
22	Policies	text
23	Credits	text
24	Repository	text
25	QsarDB data format	text
26	QsarDB Editor - Manual	text
27	QsarDB Editor - Tutorial	text
28	Uploading QDB archive	text
29	Toolkit	text
30	Linking tips	text
31	PMML examples	text
32	Predictor API	text
33	qsardb@chem.ut.ee	text

External Link Count : 7

No	Text	Type
1	-	empty
2	Example 1	text
3	Example 2	text
4	Fayet, G.; Rotureau, P. Development of simple QSPR models for the impact sensitivity of nitramines. J. Loss Prev. Process Ind. 2014, 30, 1–8.	text
5	Prana, V.; Rotureau, P.; André, D.; Fayet, G.; Adamo, C. Development of Simple QSPR Models for the Prediction of the Heat of Decomposition of Organic Peroxides. Mol. Inform. 2017, 36, 1700024.	text
6	Tulp, I.; Tamm, T.; Karelson, G.; Dobchev, D.; Martin, D.; Tämm, K.; Savchenko, D.; Jänes, J.; Härk, E.; Kreegipuu, A.; Karelson, M. QSAR for acute toxicity to Daphnia magna. Q13-31-0060. 2010.	text
7	Tulp, I.; Tamm, T.; Dobchev, D.; Martin, D.; Karelson, G.; Jänes, J.; Tämm, K.; Härk, E.; Savchenko, D.; Kreegipuu, A.; Karelson, M. QSAR for the soil adsorption coefficient Koc. Q13-26-0009. 2009.	text