Matches in SemOpenAlex for { <https://semopenalex.org/work/W4320921936> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4320921936 endingPage "47" @default.
- W4320921936 startingPage "42" @default.
- W4320921936 abstract "In the process of drug screening, it is significant to improve the accuracy of drug-target binding affinity prediction. A multilayer convolutional neural network is one of the most popular existing methods for predicting affinity based on deep learning. It uses multiple convolution layers to extract features from the simplified molecular input system (SMILES) strings of the compounds and amino acid sequences of proteins and then performs affinity prediction analysis. However, the semantic information contained in low-level features can gradually be lost due to the increasing network depth, which affects the prediction performance.We propose a novel method called the Pyramid Network Convolution Drug-Target Binding Affinity (PCNN-DTA) method for drug-target binding affinity prediction. The PCNN-DTA method, which is based on a feature pyramid network (FPN), fuses the features extracted from each layer of a multilayer convolution network to retain more low-level feature information, thus improving the prediction accuracy. PCNN-DTA is compared with other typical algorithms on three benchmark datasets, namely, the KIBA, Davis, and Binding DB datasets. Experimental results show that the PCNN-DTA method is superior to existing regression prediction methods using convolutional neural networks, which further demonstrates its effectiveness." @default.
- W4320921936 created "2023-02-16" @default.
- W4320921936 creator A5001374995 @default.
- W4320921936 creator A5021550764 @default.
- W4320921936 creator A5041077139 @default.
- W4320921936 creator A5048989648 @default.
- W4320921936 creator A5062755510 @default.
- W4320921936 date "2023-03-01" @default.
- W4320921936 modified "2023-10-16" @default.
- W4320921936 title "Prediction of drug protein interactions based on variable scale characteristic pyramid convolution network" @default.
- W4320921936 cites W1976499671 @default.
- W4320921936 cites W2035585923 @default.
- W4320921936 cites W2052214665 @default.
- W4320921936 cites W2086286404 @default.
- W4320921936 cites W2116494521 @default.
- W4320921936 cites W2171234651 @default.
- W4320921936 cites W2751900761 @default.
- W4320921936 cites W2785947426 @default.
- W4320921936 cites W2809216727 @default.
- W4320921936 cites W2860192827 @default.
- W4320921936 cites W2899788782 @default.
- W4320921936 cites W2952745275 @default.
- W4320921936 cites W2989848927 @default.
- W4320921936 cites W3019745511 @default.
- W4320921936 cites W3096561213 @default.
- W4320921936 cites W3099329362 @default.
- W4320921936 cites W3159276577 @default.
- W4320921936 cites W3207312583 @default.
- W4320921936 doi "https://doi.org/10.1016/j.ymeth.2023.02.007" @default.
- W4320921936 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36804213" @default.
- W4320921936 hasPublicationYear "2023" @default.
- W4320921936 type Work @default.
- W4320921936 citedByCount "0" @default.
- W4320921936 crossrefType "journal-article" @default.
- W4320921936 hasAuthorship W4320921936A5001374995 @default.
- W4320921936 hasAuthorship W4320921936A5021550764 @default.
- W4320921936 hasAuthorship W4320921936A5041077139 @default.
- W4320921936 hasAuthorship W4320921936A5048989648 @default.
- W4320921936 hasAuthorship W4320921936A5062755510 @default.
- W4320921936 hasConcept C11413529 @default.
- W4320921936 hasConcept C124101348 @default.
- W4320921936 hasConcept C13280743 @default.
- W4320921936 hasConcept C138885662 @default.
- W4320921936 hasConcept C142575187 @default.
- W4320921936 hasConcept C153180895 @default.
- W4320921936 hasConcept C154945302 @default.
- W4320921936 hasConcept C185798385 @default.
- W4320921936 hasConcept C205649164 @default.
- W4320921936 hasConcept C2524010 @default.
- W4320921936 hasConcept C2776401178 @default.
- W4320921936 hasConcept C33923547 @default.
- W4320921936 hasConcept C41008148 @default.
- W4320921936 hasConcept C41895202 @default.
- W4320921936 hasConcept C45347329 @default.
- W4320921936 hasConcept C50644808 @default.
- W4320921936 hasConcept C81363708 @default.
- W4320921936 hasConceptScore W4320921936C11413529 @default.
- W4320921936 hasConceptScore W4320921936C124101348 @default.
- W4320921936 hasConceptScore W4320921936C13280743 @default.
- W4320921936 hasConceptScore W4320921936C138885662 @default.
- W4320921936 hasConceptScore W4320921936C142575187 @default.
- W4320921936 hasConceptScore W4320921936C153180895 @default.
- W4320921936 hasConceptScore W4320921936C154945302 @default.
- W4320921936 hasConceptScore W4320921936C185798385 @default.
- W4320921936 hasConceptScore W4320921936C205649164 @default.
- W4320921936 hasConceptScore W4320921936C2524010 @default.
- W4320921936 hasConceptScore W4320921936C2776401178 @default.
- W4320921936 hasConceptScore W4320921936C33923547 @default.
- W4320921936 hasConceptScore W4320921936C41008148 @default.
- W4320921936 hasConceptScore W4320921936C41895202 @default.
- W4320921936 hasConceptScore W4320921936C45347329 @default.
- W4320921936 hasConceptScore W4320921936C50644808 @default.
- W4320921936 hasConceptScore W4320921936C81363708 @default.
- W4320921936 hasFunder F4320321001 @default.
- W4320921936 hasLocation W43209219361 @default.
- W4320921936 hasLocation W43209219362 @default.
- W4320921936 hasOpenAccess W4320921936 @default.
- W4320921936 hasPrimaryLocation W43209219361 @default.
- W4320921936 hasRelatedWork W2295021132 @default.
- W4320921936 hasRelatedWork W2319888919 @default.
- W4320921936 hasRelatedWork W2745941246 @default.
- W4320921936 hasRelatedWork W2766634277 @default.
- W4320921936 hasRelatedWork W2767651786 @default.
- W4320921936 hasRelatedWork W2912288872 @default.
- W4320921936 hasRelatedWork W3106036237 @default.
- W4320921936 hasRelatedWork W3148519004 @default.
- W4320921936 hasRelatedWork W4312417841 @default.
- W4320921936 hasRelatedWork W564581980 @default.
- W4320921936 hasVolume "211" @default.
- W4320921936 isParatext "false" @default.
- W4320921936 isRetracted "false" @default.
- W4320921936 workType "article" @default.