Antidepressant drug-protein interactions studied by spectroscopic methods based on fluorescent carbon quantum dots
Sign Up to like & getrecommendations! Published in 2019 at "Heliyon"
DOI: 10.1016/j.heliyon.2019.e01631
Abstract: A highly sensitive fluorescent carbon quantum dots (CDs) was designed to measure the interaction of antidepressant drugs and serum albumins (SA). In present investigation the interaction of bovine serum albumin (BSA) and human serum albumin… read more here.
Keywords: fluorescent carbon; drug; drug protein; carbon quantum ... See more keywords
Comprehensive Profiling of Rapamycin Interacting Proteins with Multiple Mass Spectrometry-Based Omics Techniques.
Sign Up to like & getrecommendations! Published in 2023 at "Analytical chemistry"
DOI: 10.1021/acs.analchem.3c00867
Abstract: Profiling drug-protein interactions is critical for understanding a drug's mechanism of action and predicting the possible adverse side effects. However, to comprehensively profile drug-protein interactions remains a challenge. To address this issue, we proposed a… read more here.
Keywords: multiple mass; drug protein; mass spectrometry; protein interactions ... See more keywords
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction prediction
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbab606
Abstract: MOTIVATION Effective computational methods to predict drug-protein interactions (DPIs) are vital for drug discovery in reducing the time and cost of drug development. Recent DPI prediction methods mainly exploit graph data composed of multiple kinds… read more here.
Keywords: topology; drug protein; modality; drug ... See more keywords
Review and comparative assessment of similarity-based methods for prediction of drug-protein interactions in the druggable human proteome
Sign Up to like & getrecommendations! Published in 2019 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bby069
Abstract: Drug-protein interactions (DPIs) underlie the desired therapeutic actions and the adverse side effects of a significant majority of drugs. Computational prediction of DPIs facilitates research in drug discovery, characterization and repurposing. Similarity-based methods that do… read more here.
Keywords: similarity based; protein interactions; similarity; drug ... See more keywords
Drug-Protein interaction prediction by correcting the effect of incomplete information in heterogeneous information
Sign Up to like & getrecommendations! Published in 2022 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btac629
Abstract: MOTIVATION Large-scale heterogeneous data provides diverse perspectives for predicting drug-protein interactions (DPIs). However, the available information on molecular interactions and clinical associations related to drugs or proteins is incomplete because there may be unproven interactions… read more here.
Keywords: information; network; drug protein; prediction ... See more keywords
Prediction of Drug–Target Interactions Based on Network Representation Learning and Ensemble Learning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2020.2989765
Abstract: Identifying interactions between drugs and target proteins is a critical step in the drug development process, as it helps identify new targets for drugs and accelerate drug development. The number of known drug–protein interactions (positive… read more here.
Keywords: negative samples; drug; drug protein; prediction ... See more keywords
Network inference with ensembles of bi-clustering trees
Sign Up to like & getrecommendations! Published in 2019 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-3104-y
Abstract: BackgroundNetwork inference is crucial for biomedicine and systems biology. Biological entities and their associations are often modeled as interaction networks. Examples include drug protein interaction or gene regulatory networks. Studying and elucidating such networks can… read more here.
Keywords: network; drug protein; interaction; network inference ... See more keywords