We found that 3D genome information can significantly contribute to more accurate PPI prediction. We developed an unique protein sequence encoding scheme, which incorporated 3D genome models we built. models using our home-made genome 3D modeling results.
Nov 18, 2021 · In this work, we retrospect the DNA origins of the interacting proteins in the context of 3D genome and discovered that by incorporating 3D ...
Numerous computational methods have been proposed to predict protein-protein interactions, none of which however, considers the original DNA loci of the ...
Here, we retrospect the DNA origins of the interacting proteins from the perspective of 3D genome and found that by incorporating 3D genome information into ...
In this study, we propose a novel hybrid computational method (called KSGPPI) that aims at improving the prediction performance of PPI.
Improving Protein-protein Interaction Prediction by Incorporating 3D Genome Information ... Authors: Zehua Guo; Kai Su; Liangjie Liu; Xianbin Su; Mofan Feng; Song ...
Guo Z. et al. Improving Protein-protein Interaction Prediction by Incorporating 3D Genome Information // Lecture Notes in Computer Science. 2021. pp. 511-520.
Deep learning methods paved the way for scientists to predict the 3-D structure of proteins from genomes, predict the functions and attributes of a protein, ...
Deep learning methods paved the way for scientists to predict the 3-D structure of proteins from genomes, predict the functions and attributes of a protein, ...
Dec 1, 2022 · We found that 3D genome information can significantly contribute to more accurate PPI prediction. •. We developed an unique protein sequence ...