Towards explainable interaction prediction: Embedding biological hierarchies into hyperbolic interaction space
Given the prolonged timelines and high costs associated with traditional approaches,
accelerating drug development is crucial. Computational methods, particularly drug-target …
accelerating drug development is crucial. Computational methods, particularly drug-target …
Improving structure-based protein-ligand affinity prediction by graph representation learning and ensemble learning
J Guo - Plos one, 2024 - journals.plos.org
Predicting protein-ligand binding affinity presents a viable solution for accelerating the
discovery of new lead compounds. The recent widespread application of machine learning …
discovery of new lead compounds. The recent widespread application of machine learning …
BindingSiteDTI: differential-scale binding site modelling for drug–target interaction prediction
Motivation Enhanced by contemporary computational advances, the prediction of drug–
target interactions (DTIs) has become crucial in developing de novo and effective drugs …
target interactions (DTIs) has become crucial in developing de novo and effective drugs …
Multi source deep learning method for drug-protein interaction prediction using k-mers and chaos game representation
Identification of drug-protein interactions plays an important role in drug discovery.
Development of new calculation methods, which have high accuracy solve the problems …
Development of new calculation methods, which have high accuracy solve the problems …
Drug-Protein Interactions Prediction Models Using Feature Selection and Classification Techniques
T Idhaya, A Suruliandi, SP Raja - Current Drug Metabolism, 2023 - ingentaconnect.com
Background: Drug-Protein Interaction (DPI) identification is crucial in drug discovery. The
high dimensionality of drug and protein features poses challenges for accurate interaction …
high dimensionality of drug and protein features poses challenges for accurate interaction …
Fair molecular feature selection unveils universally tumor lineage-informative methylation sites in colorectal cancer
In the era of precision medicine, performing comparative analysis over diverse patient
populations is a fundamental step towards tailoring healthcare interventions. However, the …
populations is a fundamental step towards tailoring healthcare interventions. However, the …
Drug Discovery with Machine Learning: Target Identification using Random Forest
P Choudhari, R Rawat, RR Al-Fatlawy… - 2024 International …, 2024 - ieeexplore.ieee.org
The abstract presents a see into our inquiry about on-target distinguishing proof in sedate
disclosure utilizing Random Forest, displaying the transformative effect of machine learning …
disclosure utilizing Random Forest, displaying the transformative effect of machine learning …