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Protein Subcellular Localization Prediction Based on Compartment-Specific Biological Features
Published on Feb 25, 20075725 Views
Prediction of subcellular localization of proteins is important for genome annotation, protein function prediction, and drug discovery. We present a prediction method for Gram-negative bacteria that u
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Chapter list
Protein Subcellular Localization Prediction <br>Based on Support Vector Machines00:05
Outline01:25
Protein Subcellular Localization (PSL)<br> Prediction02:19
Importance of PSL Prediction03:15
Current PSL Prediction for Gram-<br>Negative Bacteria04:20
Outline05:47
Multiclass Classification in SVM06:06
Outline06:45
Multiclass Classification by 1-v-r SVM06:54
General Biological Features for PSL<br> Prediction08:02
1. Amino Acid Composition<br> 2. Dipeptide Composition08:21
3. Secondary Structure Elements09:14
Training and Testing in SVM10:16
Gram-Negative Bacteria Data Set11:11
Performance Evaluation11:30
Results of 1-v-r SVM Model12:06
Outline12:41
Multiclass Classification by 1-v-1 SVM12:54
Accuracy and Feature Combination14:27
Outline15:16
Compartment-Specific Biological Features15:38
Compartment-Specific Features in<br> Bacterial Secretory Pathways15:58
More Compartment-Specific Biological<br> Features17:15
Compartment-Specific Biological Features17:32
System Architecture of PSL10118:26
Feature Selection19:28
Accuracy and Feature Combination20:32
Outline21:15
Refined Encoding Schemes to Encode<br> Protein Structures (SSE)?21:35
A New Encoding Scheme (EC2) for SSE23:07
Accuracy and Feature Combination24:14
Outline25:00
Conclusion25:05
People26:53
Thank You!27:34
Questions?27:40