shape language modeling toolbox Search Results


shape language modeling toolbox  (MathWorks Inc)
90
MathWorks Inc shape language modeling toolbox
Shape Language Modeling Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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shape language modeling toolbox - by Bioz Stars, 2026-03
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shape prescriptive modeling toolbox  (MathWorks Inc)
95
MathWorks Inc shape prescriptive modeling toolbox
Shape Prescriptive Modeling Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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shape prescriptive modeling toolbox - by Bioz Stars, 2026-03
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shape-language-modeling toolbox  (MathWorks Inc)
90
MathWorks Inc shape-language-modeling toolbox
Shape Language Modeling Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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shape-language-modeling toolbox - by Bioz Stars, 2026-03
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ranksum  (MathWorks Inc)
90
MathWorks Inc ranksum
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Ranksum, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/ranksum/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
ranksum - by Bioz Stars, 2026-03
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least squares spline models  (MathWorks Inc)
90
MathWorks Inc least squares spline models
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Least Squares Spline Models, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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least squares spline models - by Bioz Stars, 2026-03
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matlab simulink/stateflow  (MathWorks Inc)
90
MathWorks Inc matlab simulink/stateflow
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Matlab Simulink/Stateflow, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
matlab simulink/stateflow - by Bioz Stars, 2026-03
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least-squares spline modelling tool matlab shape language modeling toolbox  (MathWorks Inc)
90
MathWorks Inc least-squares spline modelling tool matlab shape language modeling toolbox
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Least Squares Spline Modelling Tool Matlab Shape Language Modeling Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/least-squares spline modelling tool matlab shape language modeling toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
least-squares spline modelling tool matlab shape language modeling toolbox - by Bioz Stars, 2026-03
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shape language modelling toolbox  (MathWorks Inc)
90
MathWorks Inc shape language modelling toolbox
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Shape Language Modelling Toolbox, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/shape language modelling toolbox/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
shape language modelling toolbox - by Bioz Stars, 2026-03
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lesion segmentation toolbox version 2.0.15 ( https://www.statistical-modelling.de/lst.html )  (MathWorks Inc)
90
MathWorks Inc lesion segmentation toolbox version 2.0.15 ( https://www.statistical-modelling.de/lst.html )
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Lesion Segmentation Toolbox Version 2.0.15 ( Https://Www.Statistical Modelling.De/Lst.Html ), supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/lesion segmentation toolbox version 2.0.15 ( https://www.statistical-modelling.de/lst.html )/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
lesion segmentation toolbox version 2.0.15 ( https://www.statistical-modelling.de/lst.html ) - by Bioz Stars, 2026-03
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matlab 9.2  (MathWorks Inc)
90
MathWorks Inc matlab 9.2
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Matlab 9.2, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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matlab 9.2 - by Bioz Stars, 2026-03
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matlab r2017a  (MathWorks Inc)
90
MathWorks Inc matlab r2017a
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Matlab R2017a, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/matlab r2017a/product/MathWorks Inc
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matlab r2017a - by Bioz Stars, 2026-03
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pbpk modeling software packages  (MathWorks Inc)
90
MathWorks Inc pbpk modeling software packages
The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function <t>ranksum</t> in <t>MATLAB.</t> Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.
Pbpk Modeling Software Packages, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Image Search Results


The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function ranksum in MATLAB. Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.

Journal: PLoS ONE

Article Title: Protein-Protein Interaction Site Predictions with Three-Dimensional Probability Distributions of Interacting Atoms on Protein Surfaces

doi: 10.1371/journal.pone.0037706

Figure Lengend Snippet: The y-axis of matrix shows the atom type index ( i = 30 protein atom types shown in ) and the x-axis shows the j index for the 32 A i,j features, where j = 1,31 represents the 31 interacting atom types shown in and the 32 nd feature reflects the local geometry of the protein surface. The matrix element ( j,i ) shows the Mann-Whitney U-test p-value in color-code for the two groups of A i,j : one group of A i,j was calculated for the attribute type j around the surface atom type i in the known PPI sites on proteins in the S432 dataset and the other group was calculated for the same attribute type around the non-PPI site atom type i in the same dataset. The p-values were calculated with the Mann-Whitney U-test implemented as the function ranksum in MATLAB. Two sets of data were input to the function and the output p-value is the probability for the two distributions of data to be statistically indistinguishable. The plus(+) sign in the matrix element indicates that the averaged feature value for the PPI site atoms is larger than the averaged feature value for the non-PPI site atoms and the negative(−) is the opposite. The panel on the right-hand-side of the matrix shows the distributions of protein surface atoms in PPI sites (blue) and non-PPI protein surfaces (red) against protein atom type. The data were derived from proteins in S432.

Article Snippet: The Mann-Whitney U-tests were carried out with the statistic tool ranksum in MATLAB ( http://www.mathworks.com/help/toolbox/stats/ranksum.html ).

Techniques: MANN-WHITNEY, Derivative Assay