Electrostatic interactions in protein structure, folding, binding, and condensation
Charged and polar groups, through forming ion pairs, hydrogen bonds, and other less
specific electrostatic interactions, impart important properties to proteins. Modulation of the …
specific electrostatic interactions, impart important properties to proteins. Modulation of the …
[HTML][HTML] Protein–protein interaction prediction with deep learning: A comprehensive review
Most proteins perform their biological function by interacting with themselves or other
molecules. Thus, one may obtain biological insights into protein functions, disease …
molecules. Thus, one may obtain biological insights into protein functions, disease …
Protein interface prediction using graph convolutional networks
A Fout, J Byrd, B Shariat… - Advances in neural …, 2017 - proceedings.neurips.cc
We consider the prediction of interfaces between proteins, a challenging problem with
important applications in drug discovery and design, and examine the performance of …
important applications in drug discovery and design, and examine the performance of …
LightGBM-PPI: Predicting protein-protein interactions through LightGBM with multi-information fusion
Protein-protein interactions (PPIs) play an important role in cell life activities such as
transcriptional regulation, signal transduction and drug signal transduction. The study of …
transcriptional regulation, signal transduction and drug signal transduction. The study of …
Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
Motivation The prediction of protein–protein interaction (PPI) sites is a key to mutation
design, catalytic reaction and the reconstruction of PPI networks. It is a challenging task …
design, catalytic reaction and the reconstruction of PPI networks. It is a challenging task …
Dissecting protein–protein recognition sites
The recognition sites in 70 pairwise protein–protein complexes of known three‐dimensional
structure are dissected in a set of surface patches by clustering atoms at the interface. When …
structure are dissected in a set of surface patches by clustering atoms at the interface. When …
Prediction‐based fingerprints of protein–protein interactions
The recognition of protein interaction sites is an important intermediate step toward
identification of functionally relevant residues and understanding protein function, facilitating …
identification of functionally relevant residues and understanding protein function, facilitating …
Prediction of protein–protein interactions using random decision forest framework
Motivation: Protein interactions are of biological interest because they orchestrate a number
of cellular processes such as metabolic pathways and immunological recognition. Domains …
of cellular processes such as metabolic pathways and immunological recognition. Domains …
Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein–protein interaction sites
Y Murakami, K Mizuguchi - Bioinformatics, 2010 - academic.oup.com
Motivation: The limited availability of protein structures often restricts the functional
annotation of proteins and the identification of their protein–protein interaction sites …
annotation of proteins and the identification of their protein–protein interaction sites …
ProMate: a structure based prediction program to identify the location of protein–protein binding sites
Is the whole protein surface available for interaction with other proteins, or are specific sites
pre-assigned according to their biophysical and structural character? And if so, is it possible …
pre-assigned according to their biophysical and structural character? And if so, is it possible …