Zobrazeno 1 - 10 of 158 pro vyhledávání: '"Morales-Helguera A"'
1
Akademický článek
Antileishmanial activity of 5-nitroindazole derivatives
Autor: Niurka Mollineda-Diogo, Claudia Sissely Chaviano-Montes de Oca, Sergio Sifontes-Rodríguez, Teresa Espinosa-Buitrago, Lianet Monzote-Fidalgo, Alfredo Meneses-Marcel, Aliuska Morales-Helguera, Yunierkis Perez-Castillo, Vicente Arán-Redó
Publikováno v: Therapeutic Advances in Infectious Disease, Vol 10 (2023)
Background: Currently, there is no safe and effective vaccine against leishmaniasis and existing therapies are inadequate due to high toxicity, cost and decreased efficacy caused by the emergence of resistant parasite strains. Some indazole derivativ
Externí odkaz: https://doaj.org/article/af00db2a5bfa44639eebb5fd69c0188b
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2
Akademický článek
Predicting the affinity of A2A adenosine receptor antagonists using decision trees
Autor: Adonis Huici Corrales, Aliuska Morales Helguera, Evys Ancede Gallardo Ancede Gallardo, Reinaldo Molina Ruiz, Marta Teijeira Bautista, Guillermo Abreu Stincer, Eugenio Martínez Albelo
Publikováno v: Biotecnología Vegetal, Vol 19, Iss 2, Pp 113-126 (2019)
Neurodegenerative diseases are being treated by modulating adenosine receptors with more effective, safe and selective antagonists. The objective of the study was to develop a methodology to obtain classification models based on decision tree algorit
Externí odkaz: https://doaj.org/article/9baafb95273947b9a8fe2c7cfa2c7f12
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4
A Novel Automated Framework for QSAR Modeling of Highly Imbalanced Leishmania High-Throughput Screening Data
Autor: Christophe Molina, Reinaldo Molina-Ruiz, Aliuska Morales-Helguera, Miguel Ángel Cabrera-Pérez, Omar Casanova-Alvarez
Publikováno v: Journal of Chemical Information and Modeling. 61:3213-3231
In silico prediction of antileishmanial activity using quantitative structure-activity relationship (QSAR) models has been developed on limited and small datasets. Nowadays, the availability of large and diverse high-throughput screening data provide
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::80c216fdfdc8b56c7ce8a6963148653b
https://doi.org/10.1021/acs.jcim.0c01439
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8
Development of Bioinspired Functional Chitosan/Cellulose Nanofiber 3D Hydrogel Constructs by 3D Printing for Application in the Engineering of Mechanically Demanding Tissues
Autor: Arnaud, Kamdem Tamo, Ingo, Doench, Lukas, Walter, Alexandra, Montembault, Guillaume, Sudre, Laurent, David, Aliuska, Morales-Helguera, Mischa, Selig, Bernd, Rolauffs, Anke, Bernstein, Daniel, Hoenders, Andreas, Walther, Anayancy, Osorio-Madrazo
Publikováno v: Polymers, Vol 13, Iss 1663, p 1663 (2021)
Polymers
Volume 13
Issue 10
'Polymers ', vol: 13, pages: 1663-1-1663-25 (2021)
Soft tissues are commonly fiber-reinforced hydrogel composite structures, distinguishable from hard tissues by their low mineral and high water content. In this work, we proposed the development of 3D printed hydrogel constructs of the biopolymers ch
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid_dedup__::01b458dc7276bfe7ab91b3348f449e48
https://www.mdpi.com/2073-4360/13/10/1663
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9
Akademický článek
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10
Akademický článek
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