Информация о цитировании статьи получена из
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Дата последнего поиска статьи во внешних источниках: 3 декабря 2017 г.
Аннотация:Chemoinformatics approaches open new opportunities for computer-aided design of new efficient metal
binders. Here, we demonstrate performances of ISIDA and COMET software tools to predict stability constants (log K) of the metal ion/organic ligand complexes in solution and to design in silico new molecules possessing desirable properties. The predictive models for log K of lanthanides complexation
in water have been developed. Some new uranyl binders based on monoamides and on phosphoryl-containing podands were suggested theoretically, then synthesized and tested experimentally. Reasonable agreement between experimental uranyl distribution coefficients and theoretically predicted values has
been observed.