[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 …

Machine learning solutions for predicting protein–protein interactions

R Casadio, PL Martelli… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
Proteins are “social molecules.” Recent experimental evidence supports the notion that
large protein aggregates, known as biomolecular condensates, affect structurally and …

The SARS-CoV-2 Spike variant D614G favors an open conformational state

RA Mansbach, S Chakraborty, K Nguyen… - Biophysical …, 2021 - cell.com
The COVID-19 global pandemic is an international health emergency. It is caused by the
SARS-CoV-2 virus, which binds with its trimeric Spike protein to the ACE2 receptor in the …

[HTML][HTML] An effective MM/GBSA protocol for absolute binding free energy calculations: A case study on SARS-CoV-2 spike protein and the human ACE2 receptor

N Forouzesh, N Mishra - Molecules, 2021 - mdpi.com
The binding free energy calculation of protein–ligand complexes is necessary for research
into virus–host interactions and the relevant applications in drug discovery. However, many …

MISATO: machine learning dataset of protein–ligand complexes for structure-based drug discovery

T Siebenmorgen, F Menezes, S Benassou… - Nature computational …, 2024 - nature.com
Large language models have greatly enhanced our ability to understand biology and
chemistry, yet robust methods for structure-based drug discovery, quantum chemistry and …

RosettaDDGPrediction for high‐throughput mutational scans: From stability to binding

V Sora, AO Laspiur, K Degn, M Arnaudi… - Protein …, 2023 - Wiley Online Library
Reliable prediction of free energy changes upon amino acid substitutions (ΔΔ G s) is crucial
to investigate their impact on protein stability and protein–protein interaction. Advances in …

The disordered N-terminal tail of SARS-CoV-2 Nucleocapsid protein forms a dynamic complex with RNA

J Cubuk, JJ Alston, JJ Incicco… - Nucleic acids …, 2024 - academic.oup.com
Abstract The SARS-CoV-2 Nucleocapsid (N) protein is responsible for condensation of the
viral genome. Characterizing the mechanisms controlling nucleic acid binding is a key step …

How the strength of proteins interactions affects the phase behavior of protein complexes

Q Jiao, H Ye, N Lv, M Huang, R Wu, T Yang, Z Cao… - Food …, 2024 - Elsevier
How the protein− protein interactions affect the phase behaviour of protein complexes can
afford technical support for the application of egg white protein in food industry. Here the …

BFEE2: automated, streamlined, and accurate absolute binding free-energy calculations

H Fu, H Chen, W Cai, X Shao… - Journal of Chemical …, 2021 - ACS Publications
Accurate absolute binding free-energy estimation in silico, following either an alchemical or
a geometrical route, involves several subprocesses and requires the introduction of …

How the ovalbumin modulates the conformation of zein through protein-protein interactions

H **e, H Li, L Liu, X Cai, T Wang, Q Jiao, N Lv… - Food …, 2025 - Elsevier
Under the prevailing trend of transitioning from animal proteins to plant protein-based
substitutes, the interaction between these two protein sources is of paramount importance. In …