João Montargil Aires Sousa


AuthID: R-000-78Y

Confirmed Publications: 59



21
TITLE: Prediction of mutagenicity based on empirical physicochemical descriptors  Full Text
AUTHORS: Joao Aires de Sousa ;
PUBLISHED: 2009, SOURCE: 46th Congress of the European-Societies-of-Toxicology in TOXICOLOGY LETTERS, VOLUME: 189
INDEXED IN: WOS
IN MY: ResearcherID
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TITLE: BIOL 66-Genome-scale classification of enzymatic reactions and pathways with self-organizing maps
AUTHORS: Joao M Aires de Sousa ;
PUBLISHED: 2008, SOURCE: 235th American-Chemical-Society National Meeting in ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, VOLUME: 235
INDEXED IN: WOS
IN MY: ResearcherID
23
TITLE: CINF 76-Mounting an undergraduate Chemoinformatics course with free software
AUTHORS: Joao Aires de Sousa ;
PUBLISHED: 2008, SOURCE: 235th American-Chemical-Society National Meeting in ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, VOLUME: 235
INDEXED IN: WOS
IN MY: ResearcherID
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TITLE: Genome-scale classification of metabolic reactions and assignment of EC numbers with self-organizing maps  Full Text
AUTHORS: Diogo A R S Latino ; Qing You Zhang; Joao Aires de Sousa ;
PUBLISHED: 2008, SOURCE: BIOINFORMATICS, VOLUME: 24, ISSUE: 19
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID | ResearcherID
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TITLE: Comparing the chemical spaces of metabolites and available chemicals: models of metabolite-likeness  Full Text
AUTHORS: Sunil Gupta; Joao Aires de Sousa ;
PUBLISHED: 2007, SOURCE: MOLECULAR DIVERSITY, VOLUME: 11, ISSUE: 1
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID | ResearcherID
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TITLE: Neural networks to approach potential energy surfaces: Application to a molecular dynamics simulation  Full Text
AUTHORS: Diogo A R S Latino ; Filomena F M Freitas; Joao Aires De Sousa ; Fernando Silva S S Fernandes ;
PUBLISHED: 2007, SOURCE: 6th European Conference on Computational Chemistry in INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY, VOLUME: 107, ISSUE: 11
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID | ResearcherID
30
TITLE: Prediction of H-1 NMR coupling constants with associative neural networks trained for chemical shifts  Full Text
AUTHORS: Yuri Binev; Maria M B Marques ; Joao Aires de Sousa ;
PUBLISHED: 2007, SOURCE: JOURNAL OF CHEMICAL INFORMATION AND MODELING, VOLUME: 47, ISSUE: 6
INDEXED IN: Scopus WOS CrossRef
IN MY: ORCID | ResearcherID
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