Figure S3. Lengths and hydrophobicities of sequences that were not predicted. Upper: Sequence lengths. The gray bars represent all TA proteins and red portions indicating prediction failures. Lower: Hydrophobicity scores of unsuccessfully predicted sequences. Linear smoothing was applied to KyteâDoolittle hydrophobicity scores. Each row corresponds to a sequence, and each column represents a residue. The sequences are listed in order of hydrophobicity between the C-terminus and the 50th residue (sequences in the upper rows are more hydrophobic). (TIF 1658 kb
<p>(A) Hydrophilicity/hydrophobicity analysis of PeUVR8 performed using the Kyte and Doolittle metho...
Protein secondary structure prediction is an important intermediate step for many biological procedu...
A new dataset of 396 protein domains is developed and used to evaluate the performance of the protei...
Figure S1. Decoding example. Decoding using the TA model for human cytochrome b5 and yeast TOM7. The...
Additional file 7: Figure S2. Normalized amino acid hydrophobicity values of evolved scale. Shown is...
Additional file 8: Figure S3. Correlation of amino acid hydrophobicity distance to evolution scale a...
The strip-of-helix hydrophobicity algorithm was devised to identify protein sequences which, when co...
<p>The hydrophilicity (A), accessibility (B), polarity (C), flexibility (D), mutability (E) and bulk...
Additional file 4: Table S3. Amino acid composition in sequence pools. Given are the sequence pool (...
<p>Comparison of hydropathy plots of Em-TSP3 (A) and Em-TSP3-FBP (B). Hydropathy plots of the predic...
<p>X-axis represents the sequence of this protein. Y-axis represents hydrophobicity density: theoret...
Patterns in amino acid properties (polar, hydrophobic, etc.) that characterize secondary structure m...
Figure S2. Performance of our approach as a function of different parameters: a) Query length – Perf...
<p>(A) Section I: basic information with function predictions from different resources and links to ...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
<p>(A) Hydrophilicity/hydrophobicity analysis of PeUVR8 performed using the Kyte and Doolittle metho...
Protein secondary structure prediction is an important intermediate step for many biological procedu...
A new dataset of 396 protein domains is developed and used to evaluate the performance of the protei...
Figure S1. Decoding example. Decoding using the TA model for human cytochrome b5 and yeast TOM7. The...
Additional file 7: Figure S2. Normalized amino acid hydrophobicity values of evolved scale. Shown is...
Additional file 8: Figure S3. Correlation of amino acid hydrophobicity distance to evolution scale a...
The strip-of-helix hydrophobicity algorithm was devised to identify protein sequences which, when co...
<p>The hydrophilicity (A), accessibility (B), polarity (C), flexibility (D), mutability (E) and bulk...
Additional file 4: Table S3. Amino acid composition in sequence pools. Given are the sequence pool (...
<p>Comparison of hydropathy plots of Em-TSP3 (A) and Em-TSP3-FBP (B). Hydropathy plots of the predic...
<p>X-axis represents the sequence of this protein. Y-axis represents hydrophobicity density: theoret...
Patterns in amino acid properties (polar, hydrophobic, etc.) that characterize secondary structure m...
Figure S2. Performance of our approach as a function of different parameters: a) Query length – Perf...
<p>(A) Section I: basic information with function predictions from different resources and links to ...
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, p...
<p>(A) Hydrophilicity/hydrophobicity analysis of PeUVR8 performed using the Kyte and Doolittle metho...
Protein secondary structure prediction is an important intermediate step for many biological procedu...
A new dataset of 396 protein domains is developed and used to evaluate the performance of the protei...