Alejandro
Pazos Sierra
Universidade de Santiago de Compostela
Santiago de Compostela, EspañaPublications in collaboration with researchers from Universidade de Santiago de Compostela (25)
2020
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Discovery of novel immunopharmacological ligands targeting the IL-17 inflammatory pathway
International Immunopharmacology, Vol. 89
2018
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Perturbation Theory/Machine Learning Model of ChEMBL Data for Dopamine Targets: Docking, Synthesis, and Assay of New l -Prolyl- l -leucyl-glycinamide Peptidomimetics
ACS Chemical Neuroscience, Vol. 9, Núm. 11, pp. 2572-2587
2016
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Microemulsions for colorectal cancer treatments. General considerations and formulation of methotrexate
Mini-Reviews in Medicinal Chemistry, Vol. 16, Núm. 6, pp. 498-508
2015
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Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and Artificial Intelligence Models
Combinatorial Chemistry and High Throughput Screening, Vol. 18, Núm. 8, pp. 735-750
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MI-NODES multiscale models of metabolic reactions, brain connectome, ecological, epidemic, world trade, and legal-social networks
Current Bioinformatics, Vol. 10, Núm. 5, pp. 692-713
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MIANN models of networks of biochemical reactions, ecosystems, and U.S. supreme court with Balaban-Markov indices
Current Bioinformatics, Vol. 10, Núm. 5, pp. 658-671
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Mapping chemical structure-activity information of HAART-drug cocktails over complex networks of AIDS epidemiology and socioeconomic data of U.S. counties
BioSystems, Vol. 132-133, pp. 20-34
2014
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ANN multiscale model of Anti-HIV drugs activity vs AIDS prevalence in the US at county level based on information indices of molecular graphs and social networks
Journal of Chemical Information and Modeling, Vol. 54, Núm. 3, pp. 744-755
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LECTINPred: Web server that uses complex networks of protein structure for prediction of lectins with potential use as cancer biomarkers or in parasite vaccine design
Molecular Informatics, Vol. 33, Núm. 4, pp. 276-285
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Mapping networks of anti-HIV drug cocktails vs. AIDS epidemiology in the US counties
Chemometrics and Intelligent Laboratory Systems, Vol. 138, pp. 161-170
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Modeling complex metabolic reactions, ecological systems, and financial and legal networks with MIANN models based on Markov-Wiener node descriptors
Journal of Chemical Information and Modeling, Vol. 54, Núm. 1, pp. 16-29
2013
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MIANN models in medicinal, Physical and Organic Chemistry
Current Topics in Medicinal Chemistry, Vol. 13, Núm. 5, pp. 619-641
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S2SNET: A tool for transforming characters and numeric sequences into star network topological indices in chemoinformatics, bioinformatics, biomedical, and social-legal sciences
Current Bioinformatics, Vol. 8, Núm. 4, pp. 429-437
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The Rücker-Markov invariants of complex Bio-Systems: Applications in Parasitology and Neuroinformatics
BioSystems, Vol. 111, Núm. 3, pp. 199-207
2012
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LIBP-Pred: Web server for lipid binding proteins using structural network parameters; PDB mining of human cancer biomarkers and drug targets in parasites and bacteria
Molecular BioSystems, Vol. 8, Núm. 3, pp. 851-862
2011
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MIND-BEST: Web server for drugs and target discovery; Design, synthesis, and assay of MAO-B inhibitors and theoretical-experimental study of G3PDH protein from trichomonas gallinae
Journal of Proteome Research, Vol. 10, Núm. 4, pp. 1698-1718
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MISS-Prot: Web server for self/non-self discrimination of protein residue networks in parasites; Theory and experiments in Fasciola peptides and Anisakis allergens
Molecular BioSystems, Vol. 7, Núm. 6, pp. 1938-1955
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Markov Entropy Centrality: Chemical, Biological, Crime, and Legislative Networks
TOWARDS AN INFORMATION THEORY OF COMPLEX NETWORKS: STATISTICAL METHODS AND APPLICATIONS (BIRKHAUSER BOSTON), pp. 199-258
2010
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Directed network topological indices for van der Waals complexes based on coupled cluster interaction energies
Topological Indices for Medicinal Chemistry, Biology, Parasitology, and Social Networks (Research Signpost), pp. 35-52
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Plasmod-PPI: A web-server predicting complex biopolymer targets in plasmodium with entropy measures of protein-protein interactions
Polymer, Vol. 51, Núm. 1, pp. 264-273