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[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 …
Machine learning solutions for predicting protein–protein interactions
Proteins are “social molecules.” Recent experimental evidence supports the notion that
large protein aggregates, known as biomolecular condensates, affect structurally and …
large protein aggregates, known as biomolecular condensates, affect structurally and …
The SARS-CoV-2 Spike variant D614G favors an open conformational state
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 …
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
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 …
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
Large language models have greatly enhanced our ability to understand biology and
chemistry, yet robust methods for structure-based drug discovery, quantum chemistry and …
chemistry, yet robust methods for structure-based drug discovery, quantum chemistry and …
RosettaDDGPrediction for high‐throughput mutational scans: From stability to binding
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 …
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
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 …
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
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 …
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
Accurate absolute binding free-energy estimation in silico, following either an alchemical or
a geometrical route, involves several subprocesses and requires the introduction of …
a geometrical route, involves several subprocesses and requires the introduction of …
How the ovalbumin modulates the conformation of zein through protein-protein interactions
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 …
substitutes, the interaction between these two protein sources is of paramount importance. In …