Matches in SemOpenAlex for { <https://semopenalex.org/work/W2016369840> ?p ?o ?g. }
- W2016369840 endingPage "1106" @default.
- W2016369840 startingPage "1089" @default.
- W2016369840 abstract "This review is focused on the impact of chemometrics for resolving data sets collected from investigations of the interactions of small molecules with biopolymers. These samples have been analyzed with various instrumental techniques, such as fluorescence, ultraviolet–visible spectroscopy, and voltammetry. The impact of two powerful and demonstrably useful multivariate methods for resolution of complex data—multivariate curve resolution–alternating least squares (MCR–ALS) and parallel factor analysis (PARAFAC)—is highlighted through analysis of applications involving the interactions of small molecules with the biopolymers, serum albumin, and deoxyribonucleic acid. The outcomes illustrated that significant information extracted by the chemometric methods was unattainable by simple, univariate data analysis. In addition, although the techniques used to collect data were confined to ultraviolet–visible spectroscopy, fluorescence spectroscopy, circular dichroism, and voltammetry, data profiles produced by other techniques may also be processed. Topics considered including binding sites and modes, cooperative and competitive small molecule binding, kinetics, and thermodynamics of ligand binding, and the folding and unfolding of biopolymers. Applications of the MCR–ALS and PARAFAC methods reviewed were primarily published between 2008 and 2013." @default.
- W2016369840 created "2016-06-24" @default.
- W2016369840 creator A5023102363 @default.
- W2016369840 creator A5027174353 @default.
- W2016369840 creator A5040865670 @default.
- W2016369840 creator A5066102428 @default.
- W2016369840 date "2014-04-21" @default.
- W2016369840 modified "2023-09-27" @default.
- W2016369840 title "Analysis of Complex Molecular Systems: The Impact of Multivariate Analysis for Resolving the Interactions of Small Molecules with Biopolymers – a Review" @default.
- W2016369840 cites W1504792186 @default.
- W2016369840 cites W1963661719 @default.
- W2016369840 cites W1964089157 @default.
- W2016369840 cites W1967768764 @default.
- W2016369840 cites W1968061328 @default.
- W2016369840 cites W1968716120 @default.
- W2016369840 cites W1972487384 @default.
- W2016369840 cites W1973011478 @default.
- W2016369840 cites W1973238993 @default.
- W2016369840 cites W1975054693 @default.
- W2016369840 cites W1975323860 @default.
- W2016369840 cites W1976364582 @default.
- W2016369840 cites W1977936610 @default.
- W2016369840 cites W1979569049 @default.
- W2016369840 cites W1990407142 @default.
- W2016369840 cites W1993419109 @default.
- W2016369840 cites W1997804911 @default.
- W2016369840 cites W1998378574 @default.
- W2016369840 cites W1999650279 @default.
- W2016369840 cites W2000210540 @default.
- W2016369840 cites W2003042910 @default.
- W2016369840 cites W2004280245 @default.
- W2016369840 cites W2011211635 @default.
- W2016369840 cites W2011714948 @default.
- W2016369840 cites W2014950975 @default.
- W2016369840 cites W2016433929 @default.
- W2016369840 cites W2022552957 @default.
- W2016369840 cites W2023843163 @default.
- W2016369840 cites W2026708280 @default.
- W2016369840 cites W2028289065 @default.
- W2016369840 cites W2030400996 @default.
- W2016369840 cites W2030626265 @default.
- W2016369840 cites W2030743311 @default.
- W2016369840 cites W2030802512 @default.
- W2016369840 cites W2033014978 @default.
- W2016369840 cites W2035939267 @default.
- W2016369840 cites W2036123789 @default.
- W2016369840 cites W2037624547 @default.
- W2016369840 cites W2038109601 @default.
- W2016369840 cites W2038258271 @default.
- W2016369840 cites W2039902016 @default.
- W2016369840 cites W2041317621 @default.
- W2016369840 cites W2050639822 @default.
- W2016369840 cites W2054187513 @default.
- W2016369840 cites W2056613332 @default.
- W2016369840 cites W2057242176 @default.
- W2016369840 cites W2058878785 @default.
- W2016369840 cites W2060189511 @default.
- W2016369840 cites W2061134749 @default.
- W2016369840 cites W2062593546 @default.
- W2016369840 cites W2064464358 @default.
- W2016369840 cites W2064722483 @default.
- W2016369840 cites W2069475683 @default.
- W2016369840 cites W2071510759 @default.
- W2016369840 cites W2077007989 @default.
- W2016369840 cites W2084680263 @default.
- W2016369840 cites W2084977877 @default.
- W2016369840 cites W2086813989 @default.
- W2016369840 cites W2087478412 @default.
- W2016369840 cites W2088900329 @default.
- W2016369840 cites W2091099187 @default.
- W2016369840 cites W2092280582 @default.
- W2016369840 cites W2099373664 @default.
- W2016369840 cites W2100489221 @default.
- W2016369840 cites W2102381644 @default.
- W2016369840 cites W2102552625 @default.
- W2016369840 cites W2108229184 @default.
- W2016369840 cites W2119741678 @default.
- W2016369840 cites W2125408549 @default.
- W2016369840 cites W2129995310 @default.
- W2016369840 cites W2164977177 @default.
- W2016369840 cites W2168836127 @default.
- W2016369840 cites W2312938998 @default.
- W2016369840 cites W2325188889 @default.
- W2016369840 cites W2331319068 @default.
- W2016369840 cites W2335185912 @default.
- W2016369840 cites W2490308495 @default.
- W2016369840 cites W2729486520 @default.
- W2016369840 cites W3142567293 @default.
- W2016369840 cites W4240255376 @default.
- W2016369840 cites W4249989860 @default.
- W2016369840 doi "https://doi.org/10.1080/00032719.2013.865202" @default.
- W2016369840 hasPublicationYear "2014" @default.
- W2016369840 type Work @default.
- W2016369840 sameAs 2016369840 @default.
- W2016369840 citedByCount "5" @default.
- W2016369840 countsByYear W20163698402016 @default.
- W2016369840 countsByYear W20163698402017 @default.
- W2016369840 countsByYear W20163698402019 @default.