Enzymes are increasingly used to perform a range of chemical

reactions. These catalysts from nature are sustainable, selective, and

efficient and offer a variety of benefits such as environmentally

friendly manufacturing processes, reduced use of solvents, lower

energy requirement, high atom efficiency, and reduced cost. How-

ever, natural biocatalysts are often not optimally suited for industrial

applications. To boost the use of enzymes in industrial processes,

it is important to expand the range of reactions catalyzed by

enzymes and to improve their properties for industrial applications.

Traditionally, in the past, new enzymes for desired reactions were

obtained by tedious and time-consuming screening of microbial

cultures, often following enrichment and isolation of new cultures.

Due to the genomics revolution, massive sequencing combined with

appropriate use of databases and efficient predictive bioinformatics

tools have the potential to replace the current laborious screening

approaches. The technological advances in the field offer an array

of tools, which nowadays still have to express their full applicative

potential. Actually, time-consuming, expensive, and investment-

intensive screening in the laboratory is expected to be replaced by

in silico screening using computer programs, ranking, design, and

automated DNA synthesis, thus allowing a much shorter time from

process idea to feasibility judgment with considerable savings on

research costs.