[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 …
The state-of-play and future of antibody therapeutics
It has been over four decades since the development of monoclonal antibodies (mAbs)
using a hybridoma cell line was first reported. Since then more than thirty therapeutic …
using a hybridoma cell line was first reported. Since then more than thirty therapeutic …
Updates to the integrated protein–protein interaction benchmarks: docking benchmark version 5 and affinity benchmark version 2
We present an updated and integrated version of our widely used protein–protein docking
and binding affinity benchmarks. The benchmarks consist of non-redundant, high-quality …
and binding affinity benchmarks. The benchmarks consist of non-redundant, high-quality …
Inference of macromolecular assemblies from crystalline state
We discuss basic physical–chemical principles underlying the formation of stable
macromolecular complexes, which in many cases are likely to be the biological units …
macromolecular complexes, which in many cases are likely to be the biological units …
Protein interaction interface region prediction by geometric deep learning
Motivation Protein–protein interactions drive wide-ranging molecular processes, and
characterizing at the atomic level how proteins interact (beyond just the fact that they …
characterizing at the atomic level how proteins interact (beyond just the fact that they …
Using support vector machine combined with auto covariance to predict protein–protein interactions from protein sequences
Y Guo, L Yu, Z Wen, M Li - Nucleic acids research, 2008 - academic.oup.com
Compared to the available protein sequences of different organisms, the number of revealed
protein–protein interactions (PPIs) is still very limited. So many computational methods have …
protein–protein interactions (PPIs) is still very limited. So many computational methods have …
Principles of protein− protein interactions: what are the preferred ways for proteins to interact?
Proteins are the working horse of the cellular machinery. They are responsible for diverse
functions ranging from molecular motors to signaling. They catalyze reactions, transport …
functions ranging from molecular motors to signaling. They catalyze reactions, transport …
Transient protein–protein interactions
Transient complexes are crucial for diverse biological processes such as biochemical
pathways and signaling cascades in the cell. Here, we give an overview of the transient …
pathways and signaling cascades in the cell. Here, we give an overview of the transient …
Predicting protein-protein interactions on a proteome scale by matching evolutionary and structural similarities at interfaces using PRISM
Prediction of protein-protein interactions at the structural level on the proteome scale is
important because it allows prediction of protein function, helps drug discovery and takes …
important because it allows prediction of protein function, helps drug discovery and takes …
Crystal contacts as nature's docking solutions
E Krissinel - Journal of computational chemistry, 2010 - Wiley Online Library
The assumption that crystal contacts reflect natural macromolecular interactions makes a
basis for many studies in structural biology. However, the crystal state may correspond to a …
basis for many studies in structural biology. However, the crystal state may correspond to a …