Viviana Fernanda Quevedo Tumailli

Viviana Fernanda Quevedo Tumailli
Universidade da Coruña | UDC · Faculty of Computer Science

Magister

About

24
Publications
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90
Citations
Introduction
I work with PTMLIF models applied to different research areas.

Publications

Publications (24)
Article
Full-text available
The parasite species of genus Plasmodium causes Malaria, which remains a major global health problem due to parasite resistance to available Antimalarial drugs and increasing treatment costs. Consequently, computational prediction of new Antimalarial compounds with novel targets in the proteome of Plasmodium sp. is a very important goal for the pha...
Article
The development of new molecules for the treatment of Leishmaniasis, a neglected parasitic disease, is urgent as current anti-leishmanial therapeutics are hampered by drug toxicity and resistance. The pyrrolo[1,2-b]isoquinoline core was selected as starting point, and palladium-catalyzed Heck-initiated cascade reactions were developed for the synth...
Conference Paper
Full-text available
Los modelos PTMLIF (Perturbation Theory, Machine Learning and Information Fusion) son la combinación de la teoría de la perturbación con el aprendizaje automático y la fusión de la información. Estos modelos se usaron en esta investigación para predecir la probabilidad de que los complejos nanopartícula decoradas con fármacos (Drugs-decorated Nanop...
Article
Full-text available
El Piptocoma discolor es una especie nativa de bosques secundarios y de crecimiento rápido ideal para un bosque sustentable por su predominancia en la Amazonía del Ecuador y de América Latina. Actualmente, esta madera y su desperdicio no se consideran como una alternativa para producir energía eléctrica. La información sobre su potencial de biomasa...
Article
By combining Machine Learning (ML) methods with Perturbation Theory (PT), it is possible to develop predictive models for a variety of response targets. Such combination often known as Perturbation Theory Machine Learning (PTML) modeling comprises a set of techniques that can handle various physical, and chemical properties of different organisms,...
Conference Paper
Graphical Abstract Abstract. We provided a microservice developed in Nodejs connected to Google Cloud services. From a photograph of the ID obtained through a mobile device, its content is analyzed to extract its information. The Vision AI API uses AutoML Vision, which is capable of interpreting text. The information returned by the Vision AI servi...
Article
Full-text available
Drug-decorated nanoparticles (DDNPs) have important medical applications. The current work combined Perturbation Theory with Machine Learning and Information Fusion (PTMLIF). Thus, PTMLIF models were proposed to predict the probability of nanoparticle–compound/drug complexes having antimalarial activity (against Plasmodium). The aim is to save expe...
Poster
The spatial distribution of genes in chromosomes seems not to be random. For instance, only 10% of genes are transcribed from bidirectional promoters in humans and many more are organized in larger clusters. We have asked related to gene orientation inversions. Does gene orientation (inversion) follow a random pattern? Is it relevant to biological...
Article
The spatial distribution of genes in chromosomes seems not to be random. For instance, only 10% of genes are transcribed from bidirectional promoters in humans and many more are organised in larger clusters. This raises intriguing questions asked by different authors before. We would like to add a few more questions in this context, related to gene...
Article
Full-text available
This article shows the simulation of absorption solar refrigeration system as an alternative for the air conditioning of buildings in hot and humidity climate. This simulation was carried out usingthe programTRNSYS 17; this software is very used by the research for the study of differenttechnologies. The simulated system have 120 m² of vacuum tube...

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