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The alkaline enzyme treatment ensures removal of wool thereby making the structure more open.
Alkaline enzyme treated fabric shows better OWTC than the acidic enzyme treated fabric as given in Figure 10.
It is observed from the figure that both top and bottom wetting time is less for alkaline enzyme treated fabrics than acidic enzyme treated fabrics.
It may be observed from the Figure 7 that the top absorption rate for acidic enzyme treated fabric is higher while the bottom absorption rate for alkaline enzyme treated fabric is higher.
This enzyme is an alkaline enzyme with optimal activity at pH 8.5.
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Discrimination of acidic and alkaline enzymes through experimental approaches is difficult, sometimes impossible due to lack of established structures.
Therefore, it is highly desirable to develop a computational model for discriminating acidic and alkaline enzymes from primary sequences.
A user-friendly web-server pred-enzymes for predicting acidic and alkaline enzymes has been established, which is accessible to the public.
In this work, we have systematically analyzed the secondary structure amino acid compositions of 105 acidic and 111 alkaline enzymes, respectively.
In this work, we have systematically analyzed the information of 105 acidic and 112 alkaline enzymes, and propose an approach for distinguishing acidic enzymes from alkaline enzymes by combining the amino acid composition, reduced amino acid composition, gene ontology, evolutionary information, and auto covariance of averaged chemical shift (acACS).
Alkaline enzymes show great advantages of functioning under alkaline conditions during the industrial application process as biotransformation catalysts and offer an attractive opportunity for investigating adaptation mechanisms in extreme high pH conditions.
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