Arrasate S - Search Results

1

PTML Multi-Label Algorithms: Models, Software, and Applications.

Ortega-Tenezaca B, Quevedo-Tumailli V, Bediaga H, Collados J, Arrasate S, Madariaga G, Munteanu CR, Cordeiro MNDS, González-Díaz H. Ortega-Tenezaca B, et al. Among authors: arrasate s. Curr Top Med Chem. 2020;20(25):2326-2337. doi: 10.2174/1568026620666200916122616. Curr Top Med Chem. 2020. PMID: 32938352 Review.

2

MIANN models in medicinal, physical and organic chemistry.

González-Díaz H, Arrasate S, Sotomayor N, Lete E, Munteanu CR, Pazos A, Besada-Porto L, Ruso JM. González-Díaz H, et al. Among authors: arrasate s. Curr Top Med Chem. 2013;13(5):619-41. doi: 10.2174/1568026611313050006. Curr Top Med Chem. 2013. PMID: 23548024 Review.

3

General theory for multiple input-output perturbations in complex molecular systems. 1. Linear QSPR electronegativity models in physical, organic, and medicinal chemistry.

González-Díaz H, Arrasate S, Gómez-SanJuan A, Sotomayor N, Lete E, Besada-Porto L, Ruso JM. González-Díaz H, et al. Among authors: arrasate s. Curr Top Med Chem. 2013;13(14):1713-41. doi: 10.2174/1568026611313140011. Curr Top Med Chem. 2013. PMID: 23889050 Review.

4

Enantioselective synthesis in organic and medicinal chemistry.

Lete E, Sotomayor N, Arrasate S. Lete E, et al. Among authors: arrasate s. Curr Top Med Chem. 2014;14(10):1209-11. doi: 10.2174/1568026614666140423094623. Curr Top Med Chem. 2014. PMID: 24758436 No abstract available.

5

Perturbation-Theory and Machine Learning (PTML) Model for High-Throughput Screening of Parham Reactions: Experimental and Theoretical Studies.

Simón-Vidal L, García-Calvo O, Oteo U, Arrasate S, Lete E, Sotomayor N, González-Díaz H. Simón-Vidal L, et al. Among authors: arrasate s. J Chem Inf Model. 2018 Jul 23;58(7):1384-1396. doi: 10.1021/acs.jcim.8b00286. Epub 2018 Jun 27. J Chem Inf Model. 2018. PMID: 29898360

6

Perturbation Theory Machine Learning Models: Theory, Regulatory Issues, and Applications to Organic Synthesis, Medicinal Chemistry, Protein Research, and Technology.

Arrasate S, Duardo-Sanchez A. Arrasate S, et al. Curr Top Med Chem. 2018;18(14):1203-1213. doi: 10.2174/1568026618666180810124031. Curr Top Med Chem. 2018. PMID: 30095052 Review.

7

PTML Combinatorial Model of ChEMBL Compounds Assays for Multiple Types of Cancer.

Bediaga H, Arrasate S, González-Díaz H. Bediaga H, et al. Among authors: arrasate s. ACS Comb Sci. 2018 Nov 12;20(11):621-632. doi: 10.1021/acscombsci.8b00090. Epub 2018 Oct 3. ACS Comb Sci. 2018. PMID: 30240186

8

New Experimental and Computational Tools for Drug Discovery: Medicinal Chemistry, Personalized Medicine, Ethical & Legal Issues - Part-V.

Arrasate S, Duardo-Sánchez A, De Miguel Beriain I, Casabona CR, González-Díaz H. Arrasate S, et al. Curr Top Med Chem. 2018;18(25):2141-2142. doi: 10.2174/156802661825190118124556. Curr Top Med Chem. 2018. PMID: 30698106

9

Modeling Antibacterial Activity with Machine Learning and Fusion of Chemical Structure Information with Microorganism Metabolic Networks.

Nocedo-Mena D, Cornelio C, Camacho-Corona MDR, Garza-González E, Waksman de Torres N, Arrasate S, Sotomayor N, Lete E, González-Díaz H. Nocedo-Mena D, et al. Among authors: arrasate s. J Chem Inf Model. 2019 Mar 25;59(3):1109-1120. doi: 10.1021/acs.jcim.9b00034. Epub 2019 Mar 4. J Chem Inf Model. 2019. PMID: 30802402

10

Big Data Challenges Targeting Proteins in GPCR Signaling Pathways; Combining PTML-ChEMBL Models and [³⁵S]GTPγS Binding Assays.

Diez-Alarcia R, Yáñez-Pérez V, Muneta-Arrate I, Arrasate S, Lete E, Meana JJ, González-Díaz H. Diez-Alarcia R, et al. Among authors: arrasate s. ACS Chem Neurosci. 2019 Nov 20;10(11):4476-4491. doi: 10.1021/acschemneuro.9b00302. Epub 2019 Nov 4. ACS Chem Neurosci. 2019. PMID: 31618004

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