Introduction
The properties of amino acids, the components used to create proteins, vary as determined by their r-group; some r-groups are hydrophobic while others are hydrophilic. Engleman’s and Kyte and Doolittle’s scales quantify the degree of this hydrophobicity. Through this experiment the experimenters hoped to gain an understanding of the correlation between Engleman’s and Kyte and Doolittle’s values and solubility, or the amount of amino acid dissolved, as well as how hydrogen bonds affect solubility of amino acids.
Methods
Glycine, alanine, valine, leucine, and isoleucine, were placed into weigh boats then measured in grams. Scoopulas were used to place small increments of amino acids, into test tubes where they were then shaken for …show more content…
This can be derived from a tool which outputted a directional and non-directional probability of less than 0.0001. This value is significant as it is below five percent thus allowing the rejectection the null hypothesis that there is no relation between the measurements and the amount of moles dissolved. Kyte and Doolittle’s measures provide a better correlation and a better linear regression. This was determined by analyzing the value of R2; the closer the R2 value is to one the more accurate the regression is. The linear regression expressing the relationship between Kyte and Doolittle’s measurements and the moles dissolved had an R2 value of 0.6154. The linear regression used to express the correlation between Engleman’s measurements and the moles dissolved yielded and R2 value of 0.5834. 0. 0.6154 is closer to one than 0. 5834; thus meaning that the regression between Kyte and Doolitle’s data and the amount of moles dissolved is the most …show more content…
This downward trend is represented in the formula y= -0.0022x+0.0067 with an R2 value of 0.5034. The correlation shown is negative. Glycine is the data represented in the furthest left data grouping, then alanine, followed by valine, leucine, and then finally isoleucine. Figure 2: The figure above expresses the prevalence of a linear relation between the amount of moles dissolved and Kyte and Doolittle’s scale. This downward trend is represented in the formula y= -0.001x+0.0045 with an R2 value of 0.6154. The correlation shown is negative. Glycine is the data represented in the furthest left data grouping, then alanine, followed by valine, leucine, and then finally isoleucine.
Figure 3: The figure above shows the configuration of each of the amino acids that were analyzed for solubility and hydrophobicity.
Column 1 Column 2
Column 1 1
Column 2 -0.76384 1
Table 1: The table above represents the correlation of the amount of moles of amino acids dissolved in relation to Engleman’s measurements. When this data was plugged into an additional tool the directional and non-directional probability was arrived upon with a value less than
The properties of amino acids, the components used to create proteins, vary as determined by their r-group; some r-groups are hydrophobic while others are hydrophilic. Engleman’s and Kyte and Doolittle’s scales quantify the degree of this hydrophobicity. Through this experiment the experimenters hoped to gain an understanding of the correlation between Engleman’s and Kyte and Doolittle’s values and solubility, or the amount of amino acid dissolved, as well as how hydrogen bonds affect solubility of amino acids.
Methods
Glycine, alanine, valine, leucine, and isoleucine, were placed into weigh boats then measured in grams. Scoopulas were used to place small increments of amino acids, into test tubes where they were then shaken for …show more content…
This can be derived from a tool which outputted a directional and non-directional probability of less than 0.0001. This value is significant as it is below five percent thus allowing the rejectection the null hypothesis that there is no relation between the measurements and the amount of moles dissolved. Kyte and Doolittle’s measures provide a better correlation and a better linear regression. This was determined by analyzing the value of R2; the closer the R2 value is to one the more accurate the regression is. The linear regression expressing the relationship between Kyte and Doolittle’s measurements and the moles dissolved had an R2 value of 0.6154. The linear regression used to express the correlation between Engleman’s measurements and the moles dissolved yielded and R2 value of 0.5834. 0. 0.6154 is closer to one than 0. 5834; thus meaning that the regression between Kyte and Doolitle’s data and the amount of moles dissolved is the most …show more content…
This downward trend is represented in the formula y= -0.0022x+0.0067 with an R2 value of 0.5034. The correlation shown is negative. Glycine is the data represented in the furthest left data grouping, then alanine, followed by valine, leucine, and then finally isoleucine. Figure 2: The figure above expresses the prevalence of a linear relation between the amount of moles dissolved and Kyte and Doolittle’s scale. This downward trend is represented in the formula y= -0.001x+0.0045 with an R2 value of 0.6154. The correlation shown is negative. Glycine is the data represented in the furthest left data grouping, then alanine, followed by valine, leucine, and then finally isoleucine.
Figure 3: The figure above shows the configuration of each of the amino acids that were analyzed for solubility and hydrophobicity.
Column 1 Column 2
Column 1 1
Column 2 -0.76384 1
Table 1: The table above represents the correlation of the amount of moles of amino acids dissolved in relation to Engleman’s measurements. When this data was plugged into an additional tool the directional and non-directional probability was arrived upon with a value less than