[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 structural basis of antibody-antigen recognition
I Sela-Culang, V Kunik, Y Ofran - Frontiers in immunology, 2013 - frontiersin.org
The function of antibodies (Abs) involves specific binding to antigens (Ags) and activation of
other components of the immune system to fight pathogens. The six hypervariable loops …
other components of the immune system to fight pathogens. The six hypervariable loops …
ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction
Predicting the functional sites of a protein from its structure, such as the binding sites of small
molecules, other proteins or antibodies, sheds light on its function in vivo. Currently, two …
molecules, other proteins or antibodies, sheds light on its function in vivo. Currently, two …
Virtual screening strategies in drug discovery: a critical review
A Lavecchia, C Di Giovanni - Current medicinal chemistry, 2013 - ingentaconnect.com
Virtual screening (VS) is a powerful technique for identifying hit molecules as starting points
for medicinal chemistry. The number of methods and softwares which use the ligand and …
for medicinal chemistry. The number of methods and softwares which use the ligand and …
Predicting protein–protein interactions from the molecular to the proteome level
Identification of protein–protein interactions (PPIs) is at the center of molecular biology
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …
considering the unquestionable role of proteins in cells. Combinatorial interactions result in …
A series of PDB-related databanks for everyday needs
WG Touw, C Baakman, J Black… - Nucleic acids …, 2015 - academic.oup.com
We present a series of databanks (http://swift. cmbi. ru. nl/gv/facilities/) that hold information
that is computationally derived from Protein Data Bank (PDB) entries and that might …
that is computationally derived from Protein Data Bank (PDB) entries and that might …
ElliPro: a new structure-based tool for the prediction of antibody epitopes
J Ponomarenko, HH Bui, W Li, N Fusseder… - BMC …, 2008 - Springer
Background Reliable prediction of antibody, or B-cell, epitopes remains challenging yet
highly desirable for the design of vaccines and immunodiagnostics. A correlation between …
highly desirable for the design of vaccines and immunodiagnostics. A correlation between …
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 …
CPORT: a consensus interface predictor and its performance in prediction-driven docking with HADDOCK
SJ de Vries, AMJJ Bonvin - PloS one, 2011 - journals.plos.org
Background Macromolecular complexes are the molecular machines of the cell. Knowledge
at the atomic level is essential to understand and influence their function. However, their …
at the atomic level is essential to understand and influence their function. However, their …
Structural analysis of B-cell epitopes in antibody: protein complexes
The binding of antigens to antibodies is one of the key events in an immune response
against foreign molecules and is a critical element of several biomedical applications …
against foreign molecules and is a critical element of several biomedical applications …