Martínez MJ - Search Results

1

Design of New Dispersants Using Machine Learning and Visual Analytics.

Martínez MJ, Naveiro R, Soto AJ, Talavante P, Kim Lee SH, Gómez Arrayas R, Franco M, Mauleón P, Lozano Ordóñez H, Revilla López G, Bernabei M, Campillo NE, Ponzoni I. Martínez MJ, et al. Polymers (Basel). 2023 Mar 6;15(5):1324. doi: 10.3390/polym15051324. Polymers (Basel). 2023. PMID: 36904566 Free PMC article.

2

Visual analytics in cheminformatics: user-supervised descriptor selection for QSAR methods.

Martínez MJ, Ponzoni I, Díaz MF, Vazquez GE, Soto AJ. Martínez MJ, et al. J Cheminform. 2015 Aug 19;7:39. doi: 10.1186/s13321-015-0092-4. eCollection 2015. J Cheminform. 2015. PMID: 26300983 Free PMC article.

3

Multitask Deep Neural Networks for Ames Mutagenicity Prediction.

Martínez MJ, Sabando MV, Soto AJ, Roca C, Requena-Triguero C, Campillo NE, Páez JA, Ponzoni I. Martínez MJ, et al. J Chem Inf Model. 2022 Dec 26;62(24):6342-6351. doi: 10.1021/acs.jcim.2c00532. Epub 2022 Sep 6. J Chem Inf Model. 2022. PMID: 36066065

4

QSPR models for predicting log P(liver) values for volatile organic compounds combining statistical methods and domain knowledge.

Palomba D, Martínez MJ, Ponzoni I, Díaz MF, Vazquez GE, Soto AJ. Palomba D, et al. Among authors: martinez mj. Molecules. 2012 Dec 17;17(12):14937-53. doi: 10.3390/molecules171214937. Molecules. 2012. PMID: 23247367 Free PMC article.

5

MoDeSuS: A Machine Learning Tool for Selection of Molecular Descriptors in QSAR Studies Applied to Molecular Informatics.

Martínez MJ, Razuc M, Ponzoni I. Martínez MJ, et al. Biomed Res Int. 2019 Feb 17;2019:2905203. doi: 10.1155/2019/2905203. eCollection 2019. Biomed Res Int. 2019. PMID: 30906770 Free PMC article.

6

QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease.

Sebastián-Pérez V, Martínez MJ, Gil C, Campillo NE, Martínez A, Ponzoni I. Sebastián-Pérez V, et al. Among authors: martinez a, martinez mj. J Integr Bioinform. 2019 Feb 14;16(1):20180063. doi: 10.1515/jib-2018-0063. J Integr Bioinform. 2019. PMID: 30763264 Free PMC article.

7

Hybridizing Feature Selection and Feature Learning Approaches in QSAR Modeling for Drug Discovery.

Ponzoni I, Sebastián-Pérez V, Requena-Triguero C, Roca C, Martínez MJ, Cravero F, Díaz MF, Páez JA, Arrayás RG, Adrio J, Campillo NE. Ponzoni I, et al. Among authors: martinez mj. Sci Rep. 2017 May 25;7(1):2403. doi: 10.1038/s41598-017-02114-3. Sci Rep. 2017. PMID: 28546583 Free PMC article.

8

QSAR Classification Models for Predicting the Activity of Inhibitors of Beta-Secretase (BACE1) Associated with Alzheimer's Disease.

Ponzoni I, Sebastián-Pérez V, Martínez MJ, Roca C, De la Cruz Pérez C, Cravero F, Vazquez GE, Páez JA, Díaz MF, Campillo NE. Ponzoni I, et al. Among authors: martinez mj. Sci Rep. 2019 Jun 24;9(1):9102. doi: 10.1038/s41598-019-45522-3. Sci Rep. 2019. PMID: 31235739 Free PMC article.

9

Feature Learning applied to the Estimation of Tensile Strength at Break in Polymeric Material Design.

Cravero F, Martínez MJ, Vazquez GE, Díaz MF, Ponzoni I. Cravero F, et al. Among authors: martinez mj. J Integr Bioinform. 2016 Nov 27;13(2):286. doi: 10.2390/biecoll-jib-2016-286. J Integr Bioinform. 2016. PMID: 28187416

10

Feature Selection for Polymer Informatics: Evaluating Scalability and Robustness of the FS4RV_DD Algorithm Using Synthetic Polydisperse Data Sets.

Cravero F, Schustik SA, Martínez MJ, Vázquez GE, Díaz MF, Ponzoni I. Cravero F, et al. Among authors: martinez mj. J Chem Inf Model. 2020 Feb 24;60(2):592-603. doi: 10.1021/acs.jcim.9b00867. Epub 2019 Dec 18. J Chem Inf Model. 2020. PMID: 31790226

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