Yuemin Bian[Author] - Search Results

Year	Number of Results
2017	1
2018	4
2019	4
2020	2
2021	2
2022	2
2023	1
2024	0

1

Structure-function analysis of the SHOC2-MRAS-PP1C holophosphatase complex.

Kwon JJ, Hajian B, Bian Y, Young LC, Amor AJ, Fuller JR, Fraley CV, Sykes AM, So J, Pan J, Baker L, Lee SJ, Wheeler DB, Mayhew DL, Persky NS, Yang X, Root DE, Barsotti AM, Stamford AW, Perry CK, Burgin A, McCormick F, Lemke CT, Hahn WC, Aguirre AJ. Kwon JJ, et al. Among authors: bian y. Nature. 2022 Sep;609(7926):408-415. doi: 10.1038/s41586-022-04928-2. Epub 2022 Jul 13. Nature. 2022. PMID: 35831509 Free PMC article.

2

Generative chemistry: drug discovery with deep learning generative models.

Bian Y, Xie XQ. Bian Y, et al. J Mol Model. 2021 Feb 4;27(3):71. doi: 10.1007/s00894-021-04674-8. J Mol Model. 2021. PMID: 33543405 Free PMC article. Review.

3

Covalent allosteric modulation: An emerging strategy for GPCRs drug discovery.

Bian Y, Jun JJ, Cuyler J, Xie XQ. Bian Y, et al. Eur J Med Chem. 2020 Nov 15;206:112690. doi: 10.1016/j.ejmech.2020.112690. Epub 2020 Aug 9. Eur J Med Chem. 2020. PMID: 32818870 Free PMC article. Review.

4

Computational Fragment-Based Drug Design: Current Trends, Strategies, and Applications.

Bian Y, Xie XS. Bian Y, et al. AAPS J. 2018 Apr 9;20(3):59. doi: 10.1208/s12248-018-0216-7. AAPS J. 2018. PMID: 29633051 Free PMC article. Review.

5

Deep Learning for Drug Design: an Artificial Intelligence Paradigm for Drug Discovery in the Big Data Era.

Jing Y, Bian Y, Hu Z, Wang L, Xie XQ. Jing Y, et al. Among authors: bian y. AAPS J. 2018 Mar 30;20(3):58. doi: 10.1208/s12248-018-0210-0. AAPS J. 2018. PMID: 29603063 Free PMC article. Review.

6

Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule Sublibraries.

Bian Y, Xie XQ. Bian Y, et al. Cells. 2022 Mar 7;11(5):915. doi: 10.3390/cells11050915. Cells. 2022. PMID: 35269537 Free PMC article.

7

Integrated Multi-Class Classification and Prediction of GPCR Allosteric Modulators by Machine Learning Intelligence.

Hou T, Bian Y, McGuire T, Xie XQ. Hou T, et al. Among authors: bian y. Biomolecules. 2021 Jun 11;11(6):870. doi: 10.3390/biom11060870. Biomolecules. 2021. PMID: 34208096 Free PMC article.

8

Target-driven machine learning-enabled virtual screening (TAME-VS) platform for early-stage hit identification.

Bian Y, Kwon JJ, Liu C, Margiotta E, Shekhar M, Gould AE. Bian Y, et al. Front Mol Biosci. 2023 Mar 13;10:1163536. doi: 10.3389/fmolb.2023.1163536. eCollection 2023. Front Mol Biosci. 2023. PMID: 36994428 Free PMC article.

9

Prediction of Orthosteric and Allosteric Regulations on Cannabinoid Receptors Using Supervised Machine Learning Classifiers.

Bian Y, Jing Y, Wang L, Ma S, Jun JJ, Xie XQ. Bian Y, et al. Mol Pharm. 2019 Jun 3;16(6):2605-2615. doi: 10.1021/acs.molpharmaceut.9b00182. Epub 2019 May 3. Mol Pharm. 2019. PMID: 31013097 Free PMC article.

10

Deep Convolutional Generative Adversarial Network (dcGAN) Models for Screening and Design of Small Molecules Targeting Cannabinoid Receptors.

Bian Y, Wang J, Jun JJ, Xie XQ. Bian Y, et al. Mol Pharm. 2019 Nov 4;16(11):4451-4460. doi: 10.1021/acs.molpharmaceut.9b00500. Epub 2019 Oct 24. Mol Pharm. 2019. PMID: 31589460

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