Computational methods to rationalize experimental strategies in biocatalysis

被引：28

作者：

Braiuca, Paolo ^{[1
]}

Ebert, Cynthia ^{[1
]}

Basso, Alessandra ^{[1
]}

Linda, Paolo ^{[1
]}

Gardossi, Lucia ^{[1
]}

机构：

[1] Univ Trieste, Dipartimento Sci Farmaceut, Lab Appl & Computat Biocatalysis, I-34127 Trieste, Italy

来源：

TRENDS IN BIOTECHNOLOGY | 2006年 / 24卷 / 09期

关键词：

D O I：

10.1016/j.tibtech.2006.07.001

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

Computational methods are more and more widely applied in biocatalysis to gain rational guidelines, to orient experimental planning and, ultimately, to avoid expensive and time-consuming experiments. In this respect, molecular modelling, multivariate statistical analysis and chemometrics in general are useful computational tools, although they follow completely different investigative approaches.

引用

页码：419 / 425

页数：7

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