Citation

For publication of results, please cite:

PASS Online

Filimonov D.A., Lagunin A.A., Gloriozova T.A., Rudik A.V., Druzhilovskii D.S., Pogodin P.V., Poroikov V.V. (2014). Prediction of the biological activity spectra of organic compounds using the PASS online web resource. Chemistry of Heterocyclic Compounds, 50 (3), 444-457.

GUSAR (Antitargets)

Zakharov A.V., Lagunin A.A., Filimonov D.A., Poroikov V.V. (2012). Quantitative prediction of antitarget interaction profiles for chemical compounds. Chemical Research in Toxicology, 25 (11) 2378-2385.

GUSAR (Acute Rat Toxicity)

Lagunin A., Zakharov A., Filimonov D., Poroikov V. (2011). QSAR modelling of rat acute toxicity on the basis of PASS prediction. Molecular Informatics, 30 (2-3), 241–250.

GUSAR (Environmental Toxicity)

Filimonov D.A., Zakharov A.V., Lagunin A.A., Poroikov V.V. (2009). QNA based “Star Track” QSAR approach. SAR and QSAR in Environmental Research, 20 (7-8), 679-709.

DIGEP-Pred (Drug-Induced Gene Expression Profiles Prediction)

Lagunin A., Ivanov S., Rudik A., Filimonov D., Poroikov V. (2013). DIGEP-Pred: web-service for in silico prediction of drug-induced expression profiles based on structural formula. Bioinformatics, 29 (16), 2062-2063.

Open Boundary Double Ridged Horn Antenna
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Open Boundary Quad-ridged Horn Antenna's open boundary design is similar to two double-ridged waveguide antennas orthogonally to each other. FT-RF Open Boundary Quad-ridged Horn Antennas have frequency capabilities ranging from 700 MHz to 18GHz depending on type and style.
With more than 30 years of experience in researching, developing, and manufacturing this line product. FT-RF Antennas are lightweight, easy to install, and designed for a quick test, with an average gain and factor design and VSWR. They are suitable for RF chamber, antenna calibration, RF component testing, interference antenna, signal collection antenna, and characteristics of various RF designs. In addition, they have high power, low F/B, durability, and a three-year warranty.SOMP (Site of Metabolism Prediction)

Rudik A., Dmitriev A., Lagunin A., Filimonov D., Poroikov V. (2015). SOMP: web-service for in silico prediction of sites of metabolism for drug-like compounds. Bioinformatics, 31 (12), 2046-2048.