Data on optimized production and characterization of alkaline proteases from newly isolated alkaliphiles from Lonar soda lake, India

Alkaline proteases are one of the industrially important enzymes and generally preferred from alkaliphilic sources. Here we have provided the data on optimized production and characterization of alkaline proteases from five newly isolated and identified alkaliphiles from Lonar soda lake, India. The data provided for optimization of physicochemical parameters for maximum alkaline proteases production is based on OVAT (one variable at a time) approach. Alkaline protease production (U/mL) recorded by using different agro industrial residues is included in the given data. Further readers can find more information in our previously published research article where we have already described about the methods used and comparative analysis of the data recorded regarding optimized production, characterization and application of alkaline proteases isolated from Lonar soda lake isolates (http://dx.doi.org/10.1016/j.bcab.2016.06.002) [1]. The data provided here by us is useful to other researchers for setting up various suitable statistical models to perform optimization studies other than OVAT approach.


a b s t r a c t
Alkaline proteases are one of the industrially important enzymes and generally preferred from alkaliphilic sources. Here we have provided the data on optimized production and characterization of alkaline proteases from five newly isolated and identified alkaliphiles from Lonar soda lake, India. The data provided for optimization of physicochemical parameters for maximum alkaline proteases production is based on OVAT (one variable at a time) approach. Alkaline protease production (U/mL) recorded by using different agro industrial residues is included in the given data. Further readers can find more information in our previously published research article where we have already described about the methods used and comparative analysis of the data recorded regarding optimized production, characterization and application of alkaline proteases isolated from Lonar soda lake isolates (http:// dx.doi.org/10.1016/j.bcab.2016.06.002) [1]. The data provided here by us is useful to other researchers for setting up various suitable statistical models to perform optimization studies other than OVAT approach. &

Biocatalysis and Industrial biotechnology
Type of data Tables  How data was  acquired Orbital shaking incubator (Remi make, Vasai, Mumbai, Model no. CIS-24 BL) was used to perform optimization of physicochemical parameters for maximum alkaline protease production. The instruments used to perform alkaline protease activity assay were cooling centrifuge machine (Remi, Mumbai), and UV double beam spectrophotometer (Shimadzu corporation)

Data format
Raw and analyzed Experimental factors We isolated and further identified by polyphasic approach [1][2][3][4][5][6][7][8][9][10][11]15] five alkaline protease producers namely Brachybacterium sp. LAP214, Bacillus cohnii LAP217, Bacillus pseudofirmus LAP220, Brevibacterium casei LAP223 and Halomonas venusta LAP515 from Lonar soda lake, India. Selected experimental factors to optimize alkaline protease production were pH, temperature, incubation period, carbon sources, nitrogen sources and inducers in OVAT (one variable at a time) approach. For alkaline protease characterization, the experimental factors selected were pH, temperatures, substrates, activators, inhibitors, metal cations, chelator, surfactants and oxidizing agents Experimental features Total protein contents were determined using bovine serum albumin as standard [12]. Alkaline protease activities were determined by the modified Anson's method as described by Yang and Wang [13]. One unit of protease activity was defined as the amount of the enzyme that releases 1 mmol/mL/min of tyrosine equivalent under the assay conditions. All experiments were performed in triplicates and average values were calculated. Further, standard deviations (n ¼3) were calculated to understand experimental errors caused.

Value of the data
The data provided by us help to understand the effect of each factor exerted at a time. The data provided by us is useful to other researchers for setting up various suitable statistical models for optimization studies.
The given data shows quantity of alkaline proteases produced by using different agro-industrial residues.
The given data is important to study catalytic behavior of alkaline proteases in presence of selected range of pH, temperature, substrate concentrations, activators, inhibitors, metal cations, chelator, surfactants and oxidizing agents.
The given data can also be used for its representation into graphical forms.

Data
The tabular data presented here contain the values of optical densities (absorbance at 600 nm) and alkaline protease production (U/mL) recorded while assessing the effect of physical parameters like pH, temperature, incubation period, agitation speed etc. (Table 1-15 and Table 21-25) and chemical parameters like carbon and nitrogen sources, inducers etc. (Table 16-20 and Table 26-45) on growth and production. Furthermore, the data contain values of enzyme activities (U/mL) with standard deviation (n ¼3) and their relative activities (%) recorded in presence of different substrates and at various pH and temperatures (Table 46-65). Moreover the data presented here contain the values of enzyme activities (U/mL) and residual activities (%) recorded in presence of selected activators, inhibitors, metal cations and commercial detergents at their varying concentrations (Table 66-85).

Experimental design, materials and methods
2.1. Optimization of physicochemical parameters, production, partial purification and characterization of alkaline proteases Methods adopted for optimization of physicochemical parameters, production, partial purification and characterization of alkaline proteases from afore-mentioned isolates have been already described by us in our previously published article (http://dx.doi.org/10.1016/j.bcab.2016.06.002) [1].