Review and comparative assessment of sequence-based predictors of protein-binding residues
Understanding of molecular mechanisms that govern protein–protein interactions and
accurate modeling of protein–protein docking rely on accurate identification and prediction …
accurate modeling of protein–protein docking rely on accurate identification and prediction …
In silico tools and databases for designing peptide-based vaccine and drugs
The prolonged conventional approaches of drug screening and vaccine designing
prerequisite patience, vigorous effort, outrageous cost as well as additional manpower …
prerequisite patience, vigorous effort, outrageous cost as well as additional manpower …
DeepProSite: structure-aware protein binding site prediction using ESMFold and pretrained language model
Motivation Identifying the functional sites of a protein, such as the binding sites of proteins,
peptides, or other biological components, is crucial for understanding related biological …
peptides, or other biological components, is crucial for understanding related biological …
Predicting protein–peptide binding residues via interpretable deep learning
Identifying the protein–peptide binding residues is fundamentally important to understand
the mechanisms of protein functions and explore drug discovery. Although several …
the mechanisms of protein functions and explore drug discovery. Although several …
DeepDISOBind: accurate prediction of RNA-, DNA-and protein-binding intrinsically disordered residues with deep multi-task learning
Proteins with intrinsically disordered regions (IDRs) are common among eukaryotes. Many
IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported …
IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported …
DELPHI: accurate deep ensemble model for protein interaction sites prediction
Motivation Proteins usually perform their functions by interacting with other proteins, which is
why accurately predicting protein–protein interaction (PPI) binding sites is a fundamental …
why accurately predicting protein–protein interaction (PPI) binding sites is a fundamental …
SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences
Motivation Accurate predictions of protein-binding residues (PBRs) enhances understanding
of molecular-level rules governing protein–protein interactions, helps protein–protein …
of molecular-level rules governing protein–protein interactions, helps protein–protein …
Learning the protein language of proteome-wide protein-protein binding sites via explainable ensemble deep learning
Protein-protein interactions (PPIs) govern cellular pathways and processes, by significantly
influencing the functional expression of proteins. Therefore, accurate identification of protein …
influencing the functional expression of proteins. Therefore, accurate identification of protein …
iDTI-ESBoost: identification of drug target interaction using evolutionary and structural features with boosting
Prediction of new drug-target interactions is critically important as it can lead the researchers
to find new uses for old drugs and to disclose their therapeutic profiles or side effects …
to find new uses for old drugs and to disclose their therapeutic profiles or side effects …
In vitro gastrointestinal digestion of buckwheat (Fagopyrum esculentum Moench) protein: release and structural characteristics of novel bioactive peptides stimulating …
H Song, Q Wang, Z Shao, X Wang, H Cao, K Huang… - Food & Function, 2023 - pubs.rsc.org
Satiety hormone cholecystokinin (CCK) plays a vital role in appetite inhibition. Its secretion is
regulated by dietary components. The search for bioactive compounds that stimulate CCK …
regulated by dietary components. The search for bioactive compounds that stimulate CCK …