Publicaciones (19) Publicaciones de OSCAR ALVAREZ MACHANCOSES

2023

  1. Prediction of Functional Effects of Protein Amino Acid Mutations

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2022

  1. Analysis of transcriptomic responses to SARS-CoV-2 reveals plausible defective pathways responsible for increased susceptibility to infection and complications and helps to develop fast-track repositioning of drugs against COVID-19

    Computers in Biology and Medicine, Vol. 149

  2. Innovations in Genomics and Big Data Analytics for Personalized Medicine and Health Care: A Review

    International Journal of Molecular Sciences, Vol. 23, Núm. 9

2020

  1. On the role of artificial intelligence in genomics to enhance precision medicine

    Pharmacogenomics and Personalized Medicine, Vol. 13, pp. 105-119

  2. Prediction of protein tertiary structure via regularized template classification techniques

    Molecules, Vol. 25, Núm. 11

  3. Robust pathway sampling in phenotype prediction. Application to triple negative breast cancer

    BMC Bioinformatics, Vol. 21

  4. Robust prediction of single and multiple point protein mutations stability changes

    Biomolecules, Vol. 10, Núm. 1

  5. Robust sampling of defective pathways in alzheimer’s disease. Implications in drug repositioning

    International Journal of Molecular Sciences, Vol. 21, Núm. 10

  6. The Utilization of Different Classifiers to Perform Drug Repositioning in Inclusion Body Myositis Supports the Concept of Biological Invariance

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2019

  1. Predicting protein tertiary structure and its uncertainty analysis via particle swarm sampling

    Journal of Molecular Modeling, Vol. 25, Núm. 3

  2. Using artificial intelligence methods to speed up drug discovery

    Expert Opinion on Drug Discovery, Vol. 14, Núm. 8, pp. 769-777

2018

  1. Comparison of Different Sampling Algorithms for Phenotype Prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  2. On the use of principal component analysis and particle swarm optimization in protein tertiary structure prediction

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  3. Particle swarm optimization and uncertainty assessment in inverse problems

    Entropy, Vol. 20, Núm. 2

  4. Principal component analysis in protein tertiary structure prediction

    Journal of Bioinformatics and Computational Biology, Vol. 16, Núm. 2

  5. Protein tertiary structure prediction via SVD and PSO sampling

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  6. Sampling Defective Pathways in Phenotype Prediction Problems via the Fisher’s Ratio Sampler

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

  7. Sampling Defective Pathways in Phenotype Prediction Problems via the Holdout Sampler

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2017

  1. Modeling the Effect of Polymer Chain Stiffness on the Behavior of Polymer Nanocomposites

    Journal of Physical Chemistry B, Vol. 121, Núm. 25, pp. 6245-6256