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EnglishProtein structure-function relationships have been increasingly scrutinized by a variety of correlational and information theoretic measures. In an effort to extend this methodology, a technique originally developed in non-linear science, recurrence quantification analysis, was combined with traditional principal components analysis to study a large number (56) of TEM-1 beta-lactamase mutants. The hydrophobicity profiles corresponding to the primary structure of 13 naturally occurring mutations partially impairing function, together with 43 artificial non-tolerated mutations were subjected to discriminant analysis, derived from the results of recurrence quantification analysis, coupled to a principal exponents extraction. Eleven (85%) of the naturally occurring mutants and 36 (84%) of the artificial mutants were correctly classified (p < 0.0001). We conclude that this technique may be useful in protein engineering and, in general, in structure-function studies of biopolymers.
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| Titolo: | Recurrence Quantification Analysis in structure/function relationships in proteins: an overview of a general methodology applied to the case of beta-lactamase | |
| Autori: | ||
| Data di pubblicazione: | 1998 | |
| Rivista: | ||
| Handle: | http://hdl.handle.net/11573/23998 | |
| Appartiene alla tipologia: | 01a Articolo in rivista |
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