Background: Considering energy function to detect a correct protein fold from incorrect ones is very important for protein structure prediction and protein folding. Knowledge-base...
Shahriar Arab, Mehdi Sadeghi, Changiz Eslahchi, Ha...
: The explosion of highthroughput interaction data from proteomics studies gives us the opportunity to integrate Protein-Protein Interactions (PPI) from different type of interacti...
Powell Patrick Cheng Tan, Daryanaz Dargahi, Freder...
Background: The protein folding problem remains one of the most challenging open problems in computational biology. Simplified models in terms of lattice structure and energy func...
Background: We present a novel method of protein fold decoy discrimination using machine learning, more specifically using neural networks. Here, decoy discrimination is represent...
For transmembrane proteins experimental determina-tion of three-dimensional structure is problematic. However, membrane proteins have important impact for molecular biology in gen...