Mamitsuka H - Search Results

1

GORetriever: reranking protein-description-based GO candidates by literature-driven deep information retrieval for protein function annotation.

Yan H, Wang S, Liu H, Mamitsuka H, Zhu S. Yan H, et al. Among authors: mamitsuka h. Bioinformatics. 2024 Sep 1;40(Suppl 2):ii53-ii61. doi: 10.1093/bioinformatics/btae401. Bioinformatics. 2024. PMID: 39230707 Free PMC article.

2

Graph Network-Based Simulation of Multicellular Dynamics Driven by Concentrated Polymer Brush-Modified Cellulose Nanofibers.

Yoshikawa C, Nguyen DA, Nakaji-Hirabayashi T, Takigawa I, Mamitsuka H. Yoshikawa C, et al. Among authors: mamitsuka h. ACS Biomater Sci Eng. 2024 Apr 8;10(4):2165-2176. doi: 10.1021/acsbiomaterials.3c01888. Epub 2024 Mar 28. ACS Biomater Sci Eng. 2024. PMID: 38546298

3

DeepMHCI: an anchor position-aware deep interaction model for accurate MHC-I peptide binding affinity prediction.

Qu W, You R, Mamitsuka H, Zhu S. Qu W, et al. Among authors: mamitsuka h. Bioinformatics. 2023 Sep 2;39(9):btad551. doi: 10.1093/bioinformatics/btad551. Bioinformatics. 2023. PMID: 37669154 Free PMC article.

4

Central-Smoothing Hypergraph Neural Networks for Predicting Drug-Drug Interactions.

Nguyen DA, Nguyen CH, Mamitsuka H. Nguyen DA, et al. Among authors: mamitsuka h. IEEE Trans Neural Netw Learn Syst. 2024 Aug;35(8):11620-11625. doi: 10.1109/TNNLS.2023.3261860. Epub 2024 Aug 5. IEEE Trans Neural Netw Learn Syst. 2024. PMID: 37018091

5

Sc2Mol: a scaffold-based two-step molecule generator with variational autoencoder and transformer.

Liao Z, Xie L, Mamitsuka H, Zhu S. Liao Z, et al. Among authors: mamitsuka h. Bioinformatics. 2023 Jan 1;39(1):btac814. doi: 10.1093/bioinformatics/btac814. Bioinformatics. 2023. PMID: 36576008 Free PMC article.

6

SPARSE: a sparse hypergraph neural network for learning multiple types of latent combinations to accurately predict drug-drug interactions.

Nguyen DA, Nguyen CH, Petschner P, Mamitsuka H. Nguyen DA, et al. Among authors: mamitsuka h. Bioinformatics. 2022 Jun 24;38(Suppl 1):i333-i341. doi: 10.1093/bioinformatics/btac250. Bioinformatics. 2022. PMID: 35758803 Free PMC article.

7

DeepMHCII: a novel binding core-aware deep interaction model for accurate MHC-II peptide binding affinity prediction.

You R, Qu W, Mamitsuka H, Zhu S. You R, et al. Among authors: mamitsuka h. Bioinformatics. 2022 Jun 24;38(Suppl 1):i220-i228. doi: 10.1093/bioinformatics/btac225. Bioinformatics. 2022. PMID: 35758790 Free PMC article.

8

Crop loss identification at field parcel scale using satellite remote sensing and machine learning.

Hiremath S, Wittke S, Palosuo T, Kaivosoja J, Tao F, Proll M, Puttonen E, Peltonen-Sainio P, Marttinen P, Mamitsuka H. Hiremath S, et al. Among authors: mamitsuka h. PLoS One. 2021 Dec 16;16(12):e0251952. doi: 10.1371/journal.pone.0251952. eCollection 2021. PLoS One. 2021. PMID: 34914721 Free PMC article.

9

HPODNets: deep graph convolutional networks for predicting human protein-phenotype associations.

Liu L, Mamitsuka H, Zhu S. Liu L, et al. Among authors: mamitsuka h. Bioinformatics. 2022 Jan 12;38(3):799-808. doi: 10.1093/bioinformatics/btab729. Bioinformatics. 2022. PMID: 34672333

10

Machine learning approaches for drug combination therapies.

Güvenç Paltun B, Kaski S, Mamitsuka H. Güvenç Paltun B, et al. Among authors: mamitsuka h. Brief Bioinform. 2021 Nov 5;22(6):bbab293. doi: 10.1093/bib/bbab293. Brief Bioinform. 2021. PMID: 34368832 Free PMC article. Review.

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