Saigo H - Search Results

1

RF-NR: Random Forest Based Approach for Improved Classification of Nuclear Receptors.

Ismail HD, Saigo H, Kc DB. Ismail HD, et al. Among authors: saigo h. IEEE/ACM Trans Comput Biol Bioinform. 2018 Nov-Dec;15(6):1844-1852. doi: 10.1109/TCBB.2017.2773063. Epub 2017 Nov 14. IEEE/ACM Trans Comput Biol Bioinform. 2018. PMID: 29990125

2

Structural Class Classification of 3D Protein Structure Based on Multi-View 2D Images.

Suryanto CH, Saigo H, Fukui K. Suryanto CH, et al. Among authors: saigo h. IEEE/ACM Trans Comput Biol Bioinform. 2018 Jan-Feb;15(1):286-299. doi: 10.1109/TCBB.2016.2603987. Epub 2016 Aug 29. IEEE/ACM Trans Comput Biol Bioinform. 2018. PMID: 28113600

3

CNN-BLPred: a Convolutional neural network based predictor for β-Lactamases (BL) and their classes.

White C, Ismail HD, Saigo H, Kc DB. White C, et al. Among authors: saigo h. BMC Bioinformatics. 2017 Dec 28;18(Suppl 16):577. doi: 10.1186/s12859-017-1972-6. BMC Bioinformatics. 2017. PMID: 29297322 Free PMC article.

4

RF-GlutarySite: a random forest based predictor for glutarylation sites.

Al-Barakati HJ, Saigo H, Newman RH, Kc DB. Al-Barakati HJ, et al. Among authors: saigo h. Mol Omics. 2019 Jun 1;15(3):189-204. doi: 10.1039/c9mo00028c. Epub 2019 Apr 26. Mol Omics. 2019. PMID: 31025681

5

DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.

Thapa N, Chaudhari M, McManus S, Roy K, Newman RH, Saigo H, Kc DB. Thapa N, et al. Among authors: saigo h. BMC Bioinformatics. 2020 Apr 23;21(Suppl 3):63. doi: 10.1186/s12859-020-3342-z. BMC Bioinformatics. 2020. PMID: 32321437 Free PMC article.

6

Einstein-Roscoe regression for the slag viscosity prediction problem in steelmaking.

Saigo H, Kc DB, Saito N. Saigo H, et al. Sci Rep. 2022 Apr 21;12(1):6541. doi: 10.1038/s41598-022-10278-w. Sci Rep. 2022. PMID: 35449168 Free PMC article.

7

Deep Learning-Based Advances In Protein Posttranslational Modification Site and Protein Cleavage Prediction.

Pakhrin SC, Pokharel S, Saigo H, Kc DB. Pakhrin SC, et al. Among authors: saigo h. Methods Mol Biol. 2022;2499:285-322. doi: 10.1007/978-1-0716-2317-6_15. Methods Mol Biol. 2022. PMID: 35696087

8

Correction: DeepSuccinylSite: a deep learning based approach for protein succinylation site prediction.

Thapa N, Chaudhari M, McManus S, Roy K, Newman RH, Saigo H, Kc DB. Thapa N, et al. Among authors: saigo h. BMC Bioinformatics. 2022 Aug 22;23(1):349. doi: 10.1186/s12859-022-04844-2. BMC Bioinformatics. 2022. PMID: 35989317 Free PMC article. No abstract available.

9

pLMSNOSite: an ensemble-based approach for predicting protein S-nitrosylation sites by integrating supervised word embedding and embedding from pre-trained protein language model.

Pratyush P, Pokharel S, Saigo H, Kc DB. Pratyush P, et al. Among authors: saigo h. BMC Bioinformatics. 2023 Feb 8;24(1):41. doi: 10.1186/s12859-023-05164-9. BMC Bioinformatics. 2023. PMID: 36755242 Free PMC article.

10

Functional census of mutation sequence spaces: the example of p53 cancer rescue mutants.

Danziger SA, Swamidass SJ, Zeng J, Dearth LR, Lu Q, Chen JH, Cheng J, Hoang VP, Saigo H, Luo R, Baldi P, Brachmann RK, Lathrop RH. Danziger SA, et al. Among authors: saigo h. IEEE/ACM Trans Comput Biol Bioinform. 2006 Apr-Jun;3(2):114-25. doi: 10.1109/TCBB.2006.22. IEEE/ACM Trans Comput Biol Bioinform. 2006. PMID: 17048398 Free PMC article.

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