Martinez-Archundia M - Search Results

1

Machine Learning-Based Ensemble Recursive Feature Selection of Circulating miRNAs for Cancer Tumor Classification.

Lopez-Rincon A, Mendoza-Maldonado L, Martinez-Archundia M, Schönhuth A, Kraneveld AD, Garssen J, Tonda A. Lopez-Rincon A, et al. Among authors: martinez archundia m. Cancers (Basel). 2020 Jul 3;12(7):1785. doi: 10.3390/cancers12071785. Cancers (Basel). 2020. PMID: 32635415 Free PMC article.

2

Automatic discovery of 100-miRNA signature for cancer classification using ensemble feature selection.

Lopez-Rincon A, Martinez-Archundia M, Martinez-Ruiz GU, Schoenhuth A, Tonda A. Lopez-Rincon A, et al. BMC Bioinformatics. 2019 Sep 18;20(1):480. doi: 10.1186/s12859-019-3050-8. BMC Bioinformatics. 2019. PMID: 31533612 Free PMC article.

3

In Silico Screening of Drugs That Target Different Forms of E Protein for Potential Treatment of COVID-19.

Ramírez Salinas GL, López Rincón A, García Machorro J, Correa Basurto J, Martínez Archundia M. Ramírez Salinas GL, et al. Among authors: martinez archundia m. Pharmaceuticals (Basel). 2023 Feb 14;16(2):296. doi: 10.3390/ph16020296. Pharmaceuticals (Basel). 2023. PMID: 37259437 Free PMC article.

4

Automated docking for novel drug discovery.

Bello M, Martínez-Archundia M, Correa-Basurto J. Bello M, et al. Expert Opin Drug Discov. 2013 Jul;8(7):821-34. doi: 10.1517/17460441.2013.794780. Epub 2013 May 6. Expert Opin Drug Discov. 2013. PMID: 23642085 Review.

5

Is there something else besides the proapoptotic AVPI-segment in the Smac/DIABLO protein?

Victoria-Acosta G, Martínez-Archundia M, Moreno-Vargas L, Meléndez-Zajgla J, Martínez-Ruiz GU. Victoria-Acosta G, et al. Bol Med Hosp Infant Mex. 2016 Nov-Dec;73(6):365-371. doi: 10.1016/j.bmhimx.2016.10.004. Epub 2016 Nov 30. Bol Med Hosp Infant Mex. 2016. PMID: 29421280 Free article. Review.

6

Exploring the ligand recognition properties of the human vasopressin V1a receptor using QSAR and molecular modeling studies.

Contreras-Romo MC, Martínez-Archundia M, Deeb O, Slusarz MJ, Ramírez-Salinas G, Garduño-Juárez R, Quintanar-Stephano A, Ramírez-Galicia G, Correa-Basurto J. Contreras-Romo MC, et al. Chem Biol Drug Des. 2014 Feb;83(2):207-23. doi: 10.1111/cbdd.12229. Epub 2013 Dec 26. Chem Biol Drug Des. 2014. PMID: 24010681

7

Deciphering the GPER/GPR30-agonist and antagonists interactions using molecular modeling studies, molecular dynamics, and docking simulations.

Méndez-Luna D, Martínez-Archundia M, Maroun RC, Ceballos-Reyes G, Fragoso-Vázquez MJ, González-Juárez DE, Correa-Basurto J. Méndez-Luna D, et al. J Biomol Struct Dyn. 2015;33(10):2161-72. doi: 10.1080/07391102.2014.994102. Epub 2015 Jan 14. J Biomol Struct Dyn. 2015. PMID: 25587872

8

Identification of the antiepileptic racetam binding site in the synaptic vesicle protein 2A by molecular dynamics and docking simulations.

Correa-Basurto J, Cuevas-Hernández RI, Phillips-Farfán BV, Martínez-Archundia M, Romo-Mancillas A, Ramírez-Salinas GL, Pérez-González ÓA, Trujillo-Ferrara J, Mendoza-Torreblanca JG. Correa-Basurto J, et al. Front Cell Neurosci. 2015 Apr 10;9:125. doi: 10.3389/fncel.2015.00125. eCollection 2015. Front Cell Neurosci. 2015. PMID: 25914622 Free PMC article.

9

Current Tools and Methods in Molecular Dynamics (MD) Simulations for Drug Design.

Hernández-Rodríguez M, Rosales-Hernández MC, Mendieta-Wejebe JE, Martínez-Archundia M, Basurto JC. Hernández-Rodríguez M, et al. Curr Med Chem. 2016;23(34):3909-3924. doi: 10.2174/0929867323666160530144742. Curr Med Chem. 2016. PMID: 27237821 Review.

10

Searching the conformational complexity and binding properties of HDAC6 through docking and molecular dynamic simulations.

Sixto-López Y, Bello M, Rodríguez-Fonseca RA, Rosales-Hernández MC, Martínez-Archundia M, Gómez-Vidal JA, Correa-Basurto J. Sixto-López Y, et al. J Biomol Struct Dyn. 2017 Oct;35(13):2794-2814. doi: 10.1080/07391102.2016.1231084. Epub 2016 Sep 23. J Biomol Struct Dyn. 2017. PMID: 27589363

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