Team:Stanford/Research/Modeling
From 2010.igem.org
(Difference between revisions)
(→Digital) |
|||
Line 10: | Line 10: | ||
- | === | + | ===sRNA System=== |
Boolean model for the sRNA system. This is mean to provide a significantly simplified mathematical understanding of the dynamics involved. | Boolean model for the sRNA system. This is mean to provide a significantly simplified mathematical understanding of the dynamics involved. | ||
+ | <html> | ||
+ | <head> | ||
+ | <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> | ||
+ | <!-- | ||
+ | This HTML is auto-generated from an M-file. | ||
+ | To make changes, update the M-file and republish this document. | ||
+ | --><title>iGEM_boolean_sRNA_model</title><meta name="generator" content="MATLAB 7.10"><meta name="date" content="2010-10-27"><meta name="m-file" content="iGEM_boolean_sRNA_model"><style type="text/css"> | ||
+ | |||
+ | body { | ||
+ | background-color: white; | ||
+ | margin:10px; | ||
+ | } | ||
+ | |||
+ | h1 { | ||
+ | color: #990000; | ||
+ | font-size: x-large; | ||
+ | } | ||
+ | |||
+ | h2 { | ||
+ | color: #990000; | ||
+ | font-size: medium; | ||
+ | } | ||
+ | |||
+ | /* Make the text shrink to fit narrow windows, but not stretch too far in | ||
+ | wide windows. */ | ||
+ | p,h1,h2,div.content div { | ||
+ | max-width: 600px; | ||
+ | /* Hack for IE6 */ | ||
+ | width: auto !important; width: 600px; | ||
+ | } | ||
+ | |||
+ | pre.codeinput { | ||
+ | background: #EEEEEE; | ||
+ | padding: 10px; | ||
+ | } | ||
+ | @media print { | ||
+ | pre.codeinput {word-wrap:break-word; width:100%;} | ||
+ | } | ||
+ | |||
+ | span.keyword {color: #0000FF} | ||
+ | span.comment {color: #228B22} | ||
+ | span.string {color: #A020F0} | ||
+ | span.untermstring {color: #B20000} | ||
+ | span.syscmd {color: #B28C00} | ||
+ | |||
+ | pre.codeoutput { | ||
+ | color: #666666; | ||
+ | padding: 10px; | ||
+ | } | ||
+ | |||
+ | pre.error { | ||
+ | color: red; | ||
+ | } | ||
+ | |||
+ | p.footer { | ||
+ | text-align: right; | ||
+ | font-size: xx-small; | ||
+ | font-weight: lighter; | ||
+ | font-style: italic; | ||
+ | color: gray; | ||
+ | } | ||
+ | |||
+ | </style></head><body><div class="content"><pre class="codeinput">clear <span class="string">all</span> | ||
+ | clc | ||
+ | |||
+ | <span class="comment">%Constants and Values</span> | ||
+ | trackingNum = 6; <span class="comment">%mRNA_pA, mRNA_pB, sRNA_A, sRNA_B, protein_A, protein_B;</span> | ||
+ | inputNum = 2; <span class="comment">%A, B;</span> | ||
+ | processNum = 6; <span class="comment">%Trx_pA, Trx_sRNA_A, Trx_pB, Trx_sRNA_B, Trl_A, Trl_B;</span> | ||
+ | |||
+ | <span class="comment">%Cell/Matrix Dimensions</span> | ||
+ | m = 2^trackingNum; | ||
+ | n = 2^inputNum; | ||
+ | c = cell(m+1, n+1); | ||
+ | |||
+ | trackingMatrix = de2bi(0:m-1); | ||
+ | inputMatrix = de2bi(0:n-1); | ||
+ | processMatrix = zeros(1,processNum); | ||
+ | |||
+ | <span class="comment">%Populating the Cell (Tracking x Input)</span> | ||
+ | c{1,1} = [0]; | ||
+ | <span class="keyword">for</span> j = 1 | ||
+ | <span class="keyword">for</span> i = 2:m+1 | ||
+ | c{i,j} = trackingMatrix(i-1,:); | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">for</span> i = 1 | ||
+ | <span class="keyword">for</span> j = 2:n+1 | ||
+ | c{i,j} = inputMatrix(j-1,:); | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">for</span> i = 2:m+1 | ||
+ | <span class="keyword">for</span> j = 2:n+1 | ||
+ | c{i,j} = processMatrix; | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="comment">%Rules, Acessing, and Changing</span> | ||
+ | <span class="keyword">for</span> j = 2:n+1 | ||
+ | A = c{1,j}(1); | ||
+ | B = c{1,j}(2); | ||
+ | |||
+ | <span class="keyword">for</span> i = 2:m+1 | ||
+ | mRNA_pA = c{i,1}(1); | ||
+ | mRNA_pB = c{i,1}(2); | ||
+ | sRNA_A = c{i,1}(3); | ||
+ | sRNA_B = c{i,1}(4); | ||
+ | protein_A = c{i,1}(5); | ||
+ | protein_B = c{i,1}(6); | ||
+ | |||
+ | <span class="comment">%Trx_pA</span> | ||
+ | <span class="keyword">if</span> A == 1 | ||
+ | c{i,j}(1) = 1; | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="comment">%Trx_pB</span> | ||
+ | <span class="keyword">if</span> B == 1 | ||
+ | c{i,j}(2) = 1; | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="comment">%Trx_sRNA_A</span> | ||
+ | <span class="keyword">if</span> A == 1 | ||
+ | c{i,j}(3) = 1; | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="comment">%Trx_sRNA_B</span> | ||
+ | <span class="keyword">if</span> B == 1 | ||
+ | c{i,j}(4) = 1; | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="comment">%Trl_A</span> | ||
+ | <span class="keyword">if</span> mRNA_pA == 1 && mRNA_pB == 0 | ||
+ | c{i,j}(5) = 1; | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="comment">%Trl_B</span> | ||
+ | <span class="keyword">if</span> mRNA_pB == 1 && mRNA_pA == 0 | ||
+ | c{i,j}(6) = 1; | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | <span class="comment">%Display Results (Column by Column)</span> | ||
+ | [nrows,ncols]= size(c); | ||
+ | <span class="comment">%Condense Cell and Display</span> | ||
+ | <span class="keyword">for</span> i = 1:nrows | ||
+ | <span class="keyword">for</span> j = 1:ncols | ||
+ | string = num2str(c{i,j}); | ||
+ | l = length(string); | ||
+ | r = 1; | ||
+ | s = 1; | ||
+ | t = 0; | ||
+ | |||
+ | <span class="keyword">while</span> t ~= 1 | ||
+ | <span class="keyword">if</span> r == l | ||
+ | t = 1; | ||
+ | <span class="keyword">end</span> | ||
+ | |||
+ | noSpacesString(s) = string(r); | ||
+ | r = r+3; | ||
+ | s = s+1; | ||
+ | <span class="keyword">end</span> | ||
+ | c{i,j} = noSpacesString; | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">end</span> | ||
+ | c(:,:) | ||
+ | |||
+ | <span class="comment">%Find Steady States and Corresponding Inputs</span> | ||
+ | counter = 1; | ||
+ | <span class="keyword">for</span> i = 2:m+1 | ||
+ | <span class="keyword">for</span> j = 2:n+1 | ||
+ | <span class="keyword">if</span> c{i,j} == c{i,1} | ||
+ | completeMatrix{counter,1} = c{i,j}; <span class="comment">%Steady state values</span> | ||
+ | completeMatrix{counter,2} = num2str([i-1,j-1]); <span class="comment">%Location (n x m) within results area</span> | ||
+ | completeMatrix{counter,3} = c{1,j}; <span class="comment">%Corresponding input values</span> | ||
+ | counter = counter+1; | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">end</span> | ||
+ | <span class="keyword">end</span> | ||
+ | SS_mXn_Input = completeMatrix | ||
+ | |||
+ | time = 0:processNum; | ||
+ | <span class="comment">%plot(time,,time,,time,,time,,time,,time,)</span> | ||
+ | |||
+ | <span class="comment">%New Cell for Specific Cases</span> | ||
+ | <span class="comment">% d(:,1) = c(:,1);</span> | ||
+ | <span class="comment">% for j = 2:n+1</span> | ||
+ | <span class="comment">% C1 = '0000';</span> | ||
+ | <span class="comment">% C2 = '0011';</span> | ||
+ | <span class="comment">% C3 = '0100';</span> | ||
+ | <span class="comment">% C4 = '0111';</span> | ||
+ | <span class="comment">% C5 = '1000';</span> | ||
+ | <span class="comment">% C6 = '1011';</span> | ||
+ | <span class="comment">% C7 = '1100';</span> | ||
+ | <span class="comment">%</span> | ||
+ | <span class="comment">% a = {C1, C2, C3, C4, C5, C6, C7};</span> | ||
+ | <span class="comment">% for b = 1:1:length(a)</span> | ||
+ | <span class="comment">% if strcmp(c(1,j),a(b)) == 1</span> | ||
+ | <span class="comment">% d(:,b+1) = c(:,j);</span> | ||
+ | <span class="comment">% end</span> | ||
+ | <span class="comment">% end</span> | ||
+ | <span class="comment">% end</span> | ||
+ | <span class="comment">% d</span> | ||
+ | </pre><pre class="codeoutput"> | ||
+ | ans = | ||
+ | |||
+ | '0' '00' '01' '10' '11' | ||
+ | '000000' '000000' '010100' '101000' '111100' | ||
+ | '000001' '000000' '010100' '101000' '111100' | ||
+ | '000010' '000000' '010100' '101000' '111100' | ||
+ | '000011' '000000' '010100' '101000' '111100' | ||
+ | '000100' '000000' '010100' '101000' '111100' | ||
+ | '000101' '000000' '010100' '101000' '111100' | ||
+ | '000110' '000000' '010100' '101000' '111100' | ||
+ | '000111' '000000' '010100' '101000' '111100' | ||
+ | '001000' '000000' '010100' '101000' '111100' | ||
+ | '001001' '000000' '010100' '101000' '111100' | ||
+ | '001010' '000000' '010100' '101000' '111100' | ||
+ | '001011' '000000' '010100' '101000' '111100' | ||
+ | '001100' '000000' '010100' '101000' '111100' | ||
+ | '001101' '000000' '010100' '101000' '111100' | ||
+ | '001110' '000000' '010100' '101000' '111100' | ||
+ | '001111' '000000' '010100' '101000' '111100' | ||
+ | '010000' '000001' '010101' '101001' '111101' | ||
+ | '010001' '000001' '010101' '101001' '111101' | ||
+ | '010010' '000001' '010101' '101001' '111101' | ||
+ | '010011' '000001' '010101' '101001' '111101' | ||
+ | '010100' '000001' '010101' '101001' '111101' | ||
+ | '010101' '000001' '010101' '101001' '111101' | ||
+ | '010110' '000001' '010101' '101001' '111101' | ||
+ | '010111' '000001' '010101' '101001' '111101' | ||
+ | '011000' '000001' '010101' '101001' '111101' | ||
+ | '011001' '000001' '010101' '101001' '111101' | ||
+ | '011010' '000001' '010101' '101001' '111101' | ||
+ | '011011' '000001' '010101' '101001' '111101' | ||
+ | '011100' '000001' '010101' '101001' '111101' | ||
+ | '011101' '000001' '010101' '101001' '111101' | ||
+ | '011110' '000001' '010101' '101001' '111101' | ||
+ | '011111' '000001' '010101' '101001' '111101' | ||
+ | '100000' '000010' '010110' '101010' '111110' | ||
+ | '100001' '000010' '010110' '101010' '111110' | ||
+ | '100010' '000010' '010110' '101010' '111110' | ||
+ | '100011' '000010' '010110' '101010' '111110' | ||
+ | '100100' '000010' '010110' '101010' '111110' | ||
+ | '100101' '000010' '010110' '101010' '111110' | ||
+ | '100110' '000010' '010110' '101010' '111110' | ||
+ | '100111' '000010' '010110' '101010' '111110' | ||
+ | '101000' '000010' '010110' '101010' '111110' | ||
+ | '101001' '000010' '010110' '101010' '111110' | ||
+ | '101010' '000010' '010110' '101010' '111110' | ||
+ | '101011' '000010' '010110' '101010' '111110' | ||
+ | '101100' '000010' '010110' '101010' '111110' | ||
+ | '101101' '000010' '010110' '101010' '111110' | ||
+ | '101110' '000010' '010110' '101010' '111110' | ||
+ | '101111' '000010' '010110' '101010' '111110' | ||
+ | '110000' '000000' '010100' '101000' '111100' | ||
+ | '110001' '000000' '010100' '101000' '111100' | ||
+ | '110010' '000000' '010100' '101000' '111100' | ||
+ | '110011' '000000' '010100' '101000' '111100' | ||
+ | '110100' '000000' '010100' '101000' '111100' | ||
+ | '110101' '000000' '010100' '101000' '111100' | ||
+ | '110110' '000000' '010100' '101000' '111100' | ||
+ | '110111' '000000' '010100' '101000' '111100' | ||
+ | '111000' '000000' '010100' '101000' '111100' | ||
+ | '111001' '000000' '010100' '101000' '111100' | ||
+ | '111010' '000000' '010100' '101000' '111100' | ||
+ | '111011' '000000' '010100' '101000' '111100' | ||
+ | '111100' '000000' '010100' '101000' '111100' | ||
+ | '111101' '000000' '010100' '101000' '111100' | ||
+ | '111110' '000000' '010100' '101000' '111100' | ||
+ | '111111' '000000' '010100' '101000' '111100' | ||
+ | |||
+ | |||
+ | SS_mXn_Input = | ||
+ | |||
+ | '000000' '1 1' '00' | ||
+ | '010101' '22 2' '01' | ||
+ | '101010' '43 3' '10' | ||
+ | '111100' '61 4' '11' | ||
+ | |||
+ | </pre><p class="footer"><br> | ||
+ | Published with MATLAB® 7.10<br></p></div><!-- | ||
+ | ##### SOURCE BEGIN ##### | ||
+ | clear all | ||
+ | clc | ||
+ | |||
+ | %Constants and Values | ||
+ | trackingNum = 6; %mRNA_pA, mRNA_pB, sRNA_A, sRNA_B, protein_A, protein_B; | ||
+ | inputNum = 2; %A, B; | ||
+ | processNum = 6; %Trx_pA, Trx_sRNA_A, Trx_pB, Trx_sRNA_B, Trl_A, Trl_B; | ||
+ | |||
+ | %Cell/Matrix Dimensions | ||
+ | m = 2^trackingNum; | ||
+ | n = 2^inputNum; | ||
+ | c = cell(m+1, n+1); | ||
+ | |||
+ | trackingMatrix = de2bi(0:m-1); | ||
+ | inputMatrix = de2bi(0:n-1); | ||
+ | processMatrix = zeros(1,processNum); | ||
+ | |||
+ | %Populating the Cell (Tracking x Input) | ||
+ | c{1,1} = [0]; | ||
+ | for j = 1 | ||
+ | for i = 2:m+1 | ||
+ | c{i,j} = trackingMatrix(i-1,:); | ||
+ | end | ||
+ | end | ||
+ | for i = 1 | ||
+ | for j = 2:n+1 | ||
+ | c{i,j} = inputMatrix(j-1,:); | ||
+ | end | ||
+ | end | ||
+ | for i = 2:m+1 | ||
+ | for j = 2:n+1 | ||
+ | c{i,j} = processMatrix; | ||
+ | end | ||
+ | end | ||
+ | |||
+ | %Rules, Acessing, and Changing | ||
+ | for j = 2:n+1 | ||
+ | A = c{1,j}(1); | ||
+ | B = c{1,j}(2); | ||
+ | |||
+ | for i = 2:m+1 | ||
+ | mRNA_pA = c{i,1}(1); | ||
+ | mRNA_pB = c{i,1}(2); | ||
+ | sRNA_A = c{i,1}(3); | ||
+ | sRNA_B = c{i,1}(4); | ||
+ | protein_A = c{i,1}(5); | ||
+ | protein_B = c{i,1}(6); | ||
+ | |||
+ | %Trx_pA | ||
+ | if A == 1 | ||
+ | c{i,j}(1) = 1; | ||
+ | end | ||
+ | |||
+ | %Trx_pB | ||
+ | if B == 1 | ||
+ | c{i,j}(2) = 1; | ||
+ | end | ||
+ | |||
+ | %Trx_sRNA_A | ||
+ | if A == 1 | ||
+ | c{i,j}(3) = 1; | ||
+ | end | ||
+ | |||
+ | %Trx_sRNA_B | ||
+ | if B == 1 | ||
+ | c{i,j}(4) = 1; | ||
+ | end | ||
+ | |||
+ | %Trl_A | ||
+ | if mRNA_pA == 1 && mRNA_pB == 0 | ||
+ | c{i,j}(5) = 1; | ||
+ | end | ||
+ | |||
+ | %Trl_B | ||
+ | if mRNA_pB == 1 && mRNA_pA == 0 | ||
+ | c{i,j}(6) = 1; | ||
+ | end | ||
+ | |||
+ | end | ||
+ | end | ||
+ | |||
+ | %Display Results (Column by Column) | ||
+ | [nrows,ncols]= size(c); | ||
+ | %Condense Cell and Display | ||
+ | for i = 1:nrows | ||
+ | for j = 1:ncols | ||
+ | string = num2str(c{i,j}); | ||
+ | l = length(string); | ||
+ | r = 1; | ||
+ | s = 1; | ||
+ | t = 0; | ||
+ | |||
+ | while t ~= 1 | ||
+ | if r == l | ||
+ | t = 1; | ||
+ | end | ||
+ | |||
+ | noSpacesString(s) = string(r); | ||
+ | r = r+3; | ||
+ | s = s+1; | ||
+ | end | ||
+ | c{i,j} = noSpacesString; | ||
+ | end | ||
+ | end | ||
+ | c(:,:) | ||
+ | |||
+ | %Find Steady States and Corresponding Inputs | ||
+ | counter = 1; | ||
+ | for i = 2:m+1 | ||
+ | for j = 2:n+1 | ||
+ | if c{i,j} == c{i,1} | ||
+ | completeMatrix{counter,1} = c{i,j}; %Steady state values | ||
+ | completeMatrix{counter,2} = num2str([i-1,j-1]); %Location (n x m) within results area | ||
+ | completeMatrix{counter,3} = c{1,j}; %Corresponding input values | ||
+ | counter = counter+1; | ||
+ | end | ||
+ | end | ||
+ | end | ||
+ | SS_mXn_Input = completeMatrix | ||
+ | |||
+ | time = 0:processNum; | ||
+ | %plot(time,,time,,time,,time,,time,,time,) | ||
+ | |||
+ | %New Cell for Specific Cases | ||
+ | % d(:,1) = c(:,1); | ||
+ | % for j = 2:n+1 | ||
+ | % C1 = '0000'; | ||
+ | % C2 = '0011'; | ||
+ | % C3 = '0100'; | ||
+ | % C4 = '0111'; | ||
+ | % C5 = '1000'; | ||
+ | % C6 = '1011'; | ||
+ | % C7 = '1100'; | ||
+ | % | ||
+ | % a = {C1, C2, C3, C4, C5, C6, C7}; | ||
+ | % for b = 1:1:length(a) | ||
+ | % if strcmp(c(1,j),a(b)) == 1 | ||
+ | % d(:,b+1) = c(:,j); | ||
+ | % end | ||
+ | % end | ||
+ | % end | ||
+ | % d | ||
+ | ##### SOURCE END ##### | ||
+ | --></body> | ||
+ | </html> | ||
</div> | </div> |
Revision as of 23:58, 27 October 2010
Home | Project | Applications | Modeling | Parts | Team | Notebook |
Contents |
Goals
Our intuition for what makes a good ratio sensor could only take us so far. From the very first stages of design, we wanted to back up and test our ideas with mathematical tools. Luckily, we found that solving the equations of mass action kinetics at steady-state was enough gave us clear design criteria. We present the mathematical basis for sensors that are capable of sensing a single ratio digitally, or many ratios in an analog fashion.
The System
Analog
sRNA System
Boolean model for the sRNA system. This is mean to provide a significantly simplified mathematical understanding of the dynamics involved.
clear all clc %Constants and Values trackingNum = 6; %mRNA_pA, mRNA_pB, sRNA_A, sRNA_B, protein_A, protein_B; inputNum = 2; %A, B; processNum = 6; %Trx_pA, Trx_sRNA_A, Trx_pB, Trx_sRNA_B, Trl_A, Trl_B; %Cell/Matrix Dimensions m = 2^trackingNum; n = 2^inputNum; c = cell(m+1, n+1); trackingMatrix = de2bi(0:m-1); inputMatrix = de2bi(0:n-1); processMatrix = zeros(1,processNum); %Populating the Cell (Tracking x Input) c{1,1} = [0]; for j = 1 for i = 2:m+1 c{i,j} = trackingMatrix(i-1,:); end end for i = 1 for j = 2:n+1 c{i,j} = inputMatrix(j-1,:); end end for i = 2:m+1 for j = 2:n+1 c{i,j} = processMatrix; end end %Rules, Acessing, and Changing for j = 2:n+1 A = c{1,j}(1); B = c{1,j}(2); for i = 2:m+1 mRNA_pA = c{i,1}(1); mRNA_pB = c{i,1}(2); sRNA_A = c{i,1}(3); sRNA_B = c{i,1}(4); protein_A = c{i,1}(5); protein_B = c{i,1}(6); %Trx_pA if A == 1 c{i,j}(1) = 1; end %Trx_pB if B == 1 c{i,j}(2) = 1; end %Trx_sRNA_A if A == 1 c{i,j}(3) = 1; end %Trx_sRNA_B if B == 1 c{i,j}(4) = 1; end %Trl_A if mRNA_pA == 1 && mRNA_pB == 0 c{i,j}(5) = 1; end %Trl_B if mRNA_pB == 1 && mRNA_pA == 0 c{i,j}(6) = 1; end end end %Display Results (Column by Column) [nrows,ncols]= size(c); %Condense Cell and Display for i = 1:nrows for j = 1:ncols string = num2str(c{i,j}); l = length(string); r = 1; s = 1; t = 0; while t ~= 1 if r == l t = 1; end noSpacesString(s) = string(r); r = r+3; s = s+1; end c{i,j} = noSpacesString; end end c(:,:) %Find Steady States and Corresponding Inputs counter = 1; for i = 2:m+1 for j = 2:n+1 if c{i,j} == c{i,1} completeMatrix{counter,1} = c{i,j}; %Steady state values completeMatrix{counter,2} = num2str([i-1,j-1]); %Location (n x m) within results area completeMatrix{counter,3} = c{1,j}; %Corresponding input values counter = counter+1; end end end SS_mXn_Input = completeMatrix time = 0:processNum; %plot(time,,time,,time,,time,,time,,time,) %New Cell for Specific Cases % d(:,1) = c(:,1); % for j = 2:n+1 % C1 = '0000'; % C2 = '0011'; % C3 = '0100'; % C4 = '0111'; % C5 = '1000'; % C6 = '1011'; % C7 = '1100'; % % a = {C1, C2, C3, C4, C5, C6, C7}; % for b = 1:1:length(a) % if strcmp(c(1,j),a(b)) == 1 % d(:,b+1) = c(:,j); % end % end % end % d
ans = '0' '00' '01' '10' '11' '000000' '000000' '010100' '101000' '111100' '000001' '000000' '010100' '101000' '111100' '000010' '000000' '010100' '101000' '111100' '000011' '000000' '010100' '101000' '111100' '000100' '000000' '010100' '101000' '111100' '000101' '000000' '010100' '101000' '111100' '000110' '000000' '010100' '101000' '111100' '000111' '000000' '010100' '101000' '111100' '001000' '000000' '010100' '101000' '111100' '001001' '000000' '010100' '101000' '111100' '001010' '000000' '010100' '101000' '111100' '001011' '000000' '010100' '101000' '111100' '001100' '000000' '010100' '101000' '111100' '001101' '000000' '010100' '101000' '111100' '001110' '000000' '010100' '101000' '111100' '001111' '000000' '010100' '101000' '111100' '010000' '000001' '010101' '101001' '111101' '010001' '000001' '010101' '101001' '111101' '010010' '000001' '010101' '101001' '111101' '010011' '000001' '010101' '101001' '111101' '010100' '000001' '010101' '101001' '111101' '010101' '000001' '010101' '101001' '111101' '010110' '000001' '010101' '101001' '111101' '010111' '000001' '010101' '101001' '111101' '011000' '000001' '010101' '101001' '111101' '011001' '000001' '010101' '101001' '111101' '011010' '000001' '010101' '101001' '111101' '011011' '000001' '010101' '101001' '111101' '011100' '000001' '010101' '101001' '111101' '011101' '000001' '010101' '101001' '111101' '011110' '000001' '010101' '101001' '111101' '011111' '000001' '010101' '101001' '111101' '100000' '000010' '010110' '101010' '111110' '100001' '000010' '010110' '101010' '111110' '100010' '000010' '010110' '101010' '111110' '100011' '000010' '010110' '101010' '111110' '100100' '000010' '010110' '101010' '111110' '100101' '000010' '010110' '101010' '111110' '100110' '000010' '010110' '101010' '111110' '100111' '000010' '010110' '101010' '111110' '101000' '000010' '010110' '101010' '111110' '101001' '000010' '010110' '101010' '111110' '101010' '000010' '010110' '101010' '111110' '101011' '000010' '010110' '101010' '111110' '101100' '000010' '010110' '101010' '111110' '101101' '000010' '010110' '101010' '111110' '101110' '000010' '010110' '101010' '111110' '101111' '000010' '010110' '101010' '111110' '110000' '000000' '010100' '101000' '111100' '110001' '000000' '010100' '101000' '111100' '110010' '000000' '010100' '101000' '111100' '110011' '000000' '010100' '101000' '111100' '110100' '000000' '010100' '101000' '111100' '110101' '000000' '010100' '101000' '111100' '110110' '000000' '010100' '101000' '111100' '110111' '000000' '010100' '101000' '111100' '111000' '000000' '010100' '101000' '111100' '111001' '000000' '010100' '101000' '111100' '111010' '000000' '010100' '101000' '111100' '111011' '000000' '010100' '101000' '111100' '111100' '000000' '010100' '101000' '111100' '111101' '000000' '010100' '101000' '111100' '111110' '000000' '010100' '101000' '111100' '111111' '000000' '010100' '101000' '111100' SS_mXn_Input = '000000' '1 1' '00' '010101' '22 2' '01' '101010' '43 3' '10' '111100' '61 4' '11'