Publicacións nas que colabora con Carlos Fernández-Lozano (40)

2024

  1. MATEO: intermolecular α-amidoalkylation theoretical enantioselectivity optimization. Online tool for selection and design of chiral catalysts and products

    Journal of Cheminformatics, Vol. 16, Núm. 1

2023

  1. MATEO HPTML model data

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  2. MATEO HPTML model data

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  3. SI02_MATEO Ref Recctions.xlsx

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  4. SI02_MATEO Ref Recctions.xlsx

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2021

  1. Bioinformatic tools for research in CRC

    Foundations of Colorectal Cancer (Elsevier), pp. 231-247

2020

  1. MCDcalc: Markov chain molecular descriptors calculator for medicinal chemistry

    Current Topics in Medicinal Chemistry, Vol. 20, Núm. 4, pp. 305-317

  2. Molecular docking and machine learning analysis of Abemaciclib in colon cancer

    BMC Molecular and Cell Biology, Vol. 21, Núm. 1

2019

  1. Evaluation as a Continuous Improvement Process in the Learning of Programming Languages

    Advances in Intelligent Systems and Computing

  2. MCDCalc Values for Chemical Reactivity

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  3. MCDCalc Values for Chemical Reactivity

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  4. MCDCalc Values for Chemical Reactivity and Biological Activity

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  5. MCDCalc Values for Enantioselective α-Amidoalkylation Reac.

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  6. MCDCalc Values for Enantioselective α-Amidoalkylation Reac.

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  7. Machine learning in biomedical informatics

    Encyclopedia of Biomedical Engineering (Elsevier), pp. 389-399

2018

  1. MCDCalc Values for Enantioselective α-Amidoalkylation Reac.

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  2. Mejora continua de la calidad de la docencia a partir del análisis de los resultados de evaluación

    Actas de las Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI), Núm. 3

2017

  1. Experimental study and ANN dual-time scale perturbation model of electrokinetic properties of microbiota

    Frontiers in Microbiology, Vol. 8, Núm. JUN

2016

  1. A methodology for the design of experiments in computational intelligence with multiple regression models

    PeerJ, Vol. 2016, Núm. 12

2015

  1. A hybrid evolutionary system for automated artificial neural networks generation and simplification in biomedical applications

    Current Bioinformatics, Vol. 10, pp. 672-691