Found: 24
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Predicting Drug-Target Interactions via Within-Score and Between-Score.
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- BioMed Research International, 2015, v. 2015, p. 1, doi. 10.1155/2015/350983
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- Article
CMMS-GCL: cross-modality metabolic stability prediction with graph contrastive learning.
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- Bioinformatics, 2023, v. 39, n. 8, p. 1, doi. 10.1093/bioinformatics/btad503
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- Article
CProMG: controllable protein-oriented molecule generation with desired binding affinity and drug-like properties.
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- Bioinformatics, 2023, v. 39, p. i326, doi. 10.1093/bioinformatics/btad222
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- Article
MLGL-MP: a Multi-Label Graph Learning framework enhanced by pathway interdependence for Metabolic Pathway prediction.
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- Bioinformatics, 2022, v. 38, p. i325, doi. 10.1093/bioinformatics/btac222
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- Article
Corrigendum: NNAN: Nearest Neighbor Attention Network to Predict Drug–Microbe Associations.
- Published in:
- 2022
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- Correction Notice
NNAN: Nearest Neighbor Attention Network to Predict Drug–Microbe Associations.
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- Frontiers in Microbiology, 2022, v. 13, p. 1, doi. 10.3389/fmicb.2022.846915
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- Article
Effective Moment Feature Vectors for Protein Domain Structures.
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- PLoS ONE, 2013, v. 8, n. 12, p. 1, doi. 10.1371/journal.pone.0083788
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- Article
Regulating intracellular ROS signal by a dual pH/reducing-responsive nanogels system promotes tumor cell apoptosis.
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- International Journal of Nanomedicine, 2019, v. 14, p. 5713, doi. 10.2147/IJN.S208089
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- Article
A unified solution for different scenarios of predicting drug-target interactions via triple matrix factorization.
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- BMC Systems Biology, 2018, v. 12, n. 9, p. N.PAG, doi. 10.1186/s12918-018-0663-x
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- Article
Predicting and understanding comprehensive drug-drug interactions via semi-nonnegative matrix factorization.
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- BMC Systems Biology, 2018, v. 12, n. 1, p. N.PAG, doi. 10.1186/s12918-018-0532-7
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- Article
Alternative Splicing Events in Tumor Immune Infiltration in Colorectal Cancer.
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- Frontiers in Oncology, 2021, v. 11, p. N.PAG, doi. 10.3389/fonc.2021.583547
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- Article
Detecting drug communities and predicting comprehensive drug–drug interactions via balance regularized semi-nonnegative matrix factorization.
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- Journal of Cheminformatics, 2019, v. 11, n. 1, p. N.PAG, doi. 10.1186/s13321-019-0352-9
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- Publication type:
- Article
DPDDI: a deep predictor for drug-drug interactions.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. N.PAG, doi. 10.1186/s12859-020-03724-x
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- Publication type:
- Article
Recognition of cyanobacteria promoters via Siamese network-based contrastive learning under novel non-promoter generation.
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- Briefings in Bioinformatics, 2024, v. 25, n. 3, p. 1, doi. 10.1093/bib/bbae193
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- Article
Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction.
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- Briefings in Bioinformatics, 2023, v. 24, n. 4, p. 1, doi. 10.1093/bib/bbad235
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- Article
A social theory-enhanced graph representation learning framework for multitask prediction of drug–drug interactions.
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- Briefings in Bioinformatics, 2023, v. 24, n. 1, p. 1, doi. 10.1093/bib/bbac602
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- Article
Directed graph attention networks for predicting asymmetric drug–drug interactions.
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- Briefings in Bioinformatics, 2022, v. 23, n. 3, p. 1, doi. 10.1093/bib/bbac151
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- Article
Drug–drug interaction prediction with learnable size-adaptive molecular substructures.
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- Briefings in Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1093/bib/bbab441
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- Article
SSI–DDI: substructure–substructure interactions for drug–drug interaction prediction.
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- Briefings in Bioinformatics, 2021, v. 22, n. 6, p. 1, doi. 10.1093/bib/bbab133
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- Article
A Systematic Analysis of the Structures of Heterologously Expressed Proteins and Those from Their Native Hosts in the RCSB PDB Archive.
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- PLoS ONE, 2016, v. 11, n. 8, p. 1, doi. 10.1371/journal.pone.0161254
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- Article
TMFUF: a triple matrix factorization-based unified framework for predicting comprehensive drug-drug interactions of new drugs.
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- BMC Bioinformatics, 2018, v. 19, n. 14, p. 27, doi. 10.1186/s12859-018-2379-8
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- Article
BMCMDA: a novel model for predicting human microbe-disease associations via binary matrix completion.
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- BMC Bioinformatics, 2018, v. 19, n. 9, p. 169, doi. 10.1186/s12859-018-2274-3
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- Publication type:
- Article
An Integrated Local Classification Model of Predicting Drug-Drug Interactions via Dempster-Shafer Theory of Evidence.
- Published in:
- Scientific Reports, 2018, v. 8, n. 1, p. 1, doi. 10.1038/s41598-018-30189-z
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- Article
Predict multi-type drug–drug interactions in cold start scenario.
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- BMC Bioinformatics, 2022, v. 23, n. 1, p. 1, doi. 10.1186/s12859-022-04610-4
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- Article