[HTML][HTML] Protein–protein interaction prediction with deep learning: A comprehensive review

F Soleymani, E Paquet, H Viktor, W Michalowski… - Computational and …, 2022 - Elsevier
Most proteins perform their biological function by interacting with themselves or other
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 …

ScanNet: an interpretable geometric deep learning model for structure-based protein binding site prediction

J Tubiana, D Schneidman-Duhovny, HJ Wolfson - Nature Methods, 2022 - nature.com
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 …

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 …

Predicting protein–protein interactions from the molecular to the proteome level

O Keskin, N Tuncbag, A Gursoy - Chemical reviews, 2016 - ACS Publications
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 …

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 …

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 …

Principles of protein− protein interactions: what are the preferred ways for proteins to interact?

O Keskin, A Gursoy, B Ma, R Nussinov - Chemical reviews, 2008 - ACS Publications
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 …

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 …

Structural analysis of B-cell epitopes in antibody: protein complexes

JV Kringelum, M Nielsen, SB Padkjær, O Lund - Molecular immunology, 2013 - Elsevier
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 …