Background: Amino acid sequence probability distributions, or profiles, have been used successfully to predict secondary structure and local structure in proteins. Profile models ...
Background: In recent years protein structure prediction methods using local structure information have shown promising improvements. The quality of new fold predictions has risen...
Background: The structure of proteins may change as a result of the inherent flexibility of some protein regions. We develop and explore probabilistic machine learning methods for...
The inverse protein folding problem is that of designing an amino acid sequence which has a prescribed native protein fold. This problem arises in drug design where a particular st...
Motivation: Protein subcellular localization is crucial for genome annotation, protein function prediction, and drug discovery. However, since determining subcellular localization...
Emily Chia-Yu Su, Hua-Sheng Chiu, Allan Lo, Jenn-K...