BACKGROUND: Computational enzyme design is far from being applicable for the general case. Due to computational complexity and limited knowledge of the structure-function interplay, heuristic methods have to be used. RESULTS: We have developed TransCent, a computational enzyme design method supporting the transfer of active sites from one enzyme to an alternative scaffold. In an optimization process, it balances requirements originating from four constraints. These are 1) protein stability, 2) ligand binding, 3) pKa values of active site residues, and 4) structural features of the active site. Each constraint is handled by an individual software module. Modules processing the first three constraints are based on state-of-the-art concepts, i...
The development of reliable methods for the 'on demand" de novo design of an enzymatic catalyst for ...
Enzymes play a crucial role in modern biotechnology, industry, food processing and medical applicati...
Developments in computational chemistry, bioinformatics, and laboratory evolution have facilitated t...
BACKGROUND: Computational enzyme design is far from being applicable for the general case. Due to co...
Computational protein design is becoming a powerful tool for tailoring enzymes for specific biotechn...
Enzymes are tremendously proficient catalysts, which can be used as extracellular catalysts for a wh...
We report the development and initial experimental validation of a computational design procedure ai...
Currently, there are two main approaches for improving the performance of enzymes. One approach uses...
We review the standard model for de novo computational design of enzymes, which primarily focuses on...
AbstractThis mini review addresses recent developments in computational enzyme design. Successful pr...
The rational design of enzymes and understanding of enzyme mechanisms both present a tremendous cha...
AbstractEnzymes are powerful biocatalysts, however, so far there is still a large gap between the nu...
The evolution of altered or improved function is constrained by epistatic relationships among the sp...
Enzymes are in high demand for very diverse biotechnological applications. However, natural biocatal...
Abstract: Enzymes are large biological molecules responsible for the thousands of metabolic processe...
The development of reliable methods for the 'on demand" de novo design of an enzymatic catalyst for ...
Enzymes play a crucial role in modern biotechnology, industry, food processing and medical applicati...
Developments in computational chemistry, bioinformatics, and laboratory evolution have facilitated t...
BACKGROUND: Computational enzyme design is far from being applicable for the general case. Due to co...
Computational protein design is becoming a powerful tool for tailoring enzymes for specific biotechn...
Enzymes are tremendously proficient catalysts, which can be used as extracellular catalysts for a wh...
We report the development and initial experimental validation of a computational design procedure ai...
Currently, there are two main approaches for improving the performance of enzymes. One approach uses...
We review the standard model for de novo computational design of enzymes, which primarily focuses on...
AbstractThis mini review addresses recent developments in computational enzyme design. Successful pr...
The rational design of enzymes and understanding of enzyme mechanisms both present a tremendous cha...
AbstractEnzymes are powerful biocatalysts, however, so far there is still a large gap between the nu...
The evolution of altered or improved function is constrained by epistatic relationships among the sp...
Enzymes are in high demand for very diverse biotechnological applications. However, natural biocatal...
Abstract: Enzymes are large biological molecules responsible for the thousands of metabolic processe...
The development of reliable methods for the 'on demand" de novo design of an enzymatic catalyst for ...
Enzymes play a crucial role in modern biotechnology, industry, food processing and medical applicati...
Developments in computational chemistry, bioinformatics, and laboratory evolution have facilitated t...