ReP USP - Resultado da busca

Trabalho de evento
NatUKE: a benchmark for natural product knowledge extraction from academic literature (2023)
Carmo, Paulo Viviurka do ; Marx, Edgard ; Marcacini, Ricardo Marcondes ; Valli, Marilia ; Silva-Silva, João Victor ; Pilon, Alan
Source: Proceedings. Conference titles: IEEE International Conference on Semantic Computing - ICSC. Unidades: ICMC, IFSC, FCFRP
Subjects: DESCOBERTA DE CONHECIMENTO, MINERAÇÃO DE DADOS, APRENDIZADO COMPUTACIONAL, BENCHMARKS, PRODUTOS NATURAIS
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ABNT
CARMO, Paulo Viviurka do et al. NatUKE: a benchmark for natural product knowledge extraction from academic literature. 2023, Anais.. Los Alamitos: IEEE, 2023. Disponível em: https://doi.org/10.1109/ICSC56153.2023.00039. Acesso em: 15 nov. 2024.
APA
Carmo, P. V. do, Marx, E., Marcacini, R. M., Valli, M., Silva-Silva, J. V., & Pilon, A. (2023). NatUKE: a benchmark for natural product knowledge extraction from academic literature. In Proceedings. Los Alamitos: IEEE. doi:10.1109/ICSC56153.2023.00039
NLM
Carmo PV do, Marx E, Marcacini RM, Valli M, Silva-Silva JV, Pilon A. NatUKE: a benchmark for natural product knowledge extraction from academic literature [Internet]. Proceedings. 2023 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/ICSC56153.2023.00039
Vancouver
Carmo PV do, Marx E, Marcacini RM, Valli M, Silva-Silva JV, Pilon A. NatUKE: a benchmark for natural product knowledge extraction from academic literature [Internet]. Proceedings. 2023 ;[citado 2024 nov. 15 ] Available from: https://doi.org/10.1109/ICSC56153.2023.00039
Trabalho de evento-resumo periodico
Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors (2021)
Silva, Andréa Martins da; Popolin Neto, Mário ; Paulovich, Fernando Vieira ; Salomão, Karina Bezerra; Silva, Keteryne Rodrigues da ; Veronez, Luciana Chain ; Silva Junior, Wilson Araújo da ; Valera, Elvis Terci; Scrideli, Carlos Alberto ; Tone, Luiz Gonzaga
Source: Pediatric Blood and Cancer. Conference titles: Congress of the International Society of Paediatric Oncology - SIOP. Unidades: ICMC, FMRP, FCFRP
Subjects: BIOINFORMÁTICA, APRENDIZADO COMPUTACIONAL, VISUALIZAÇÃO, BIOMARCADORES, NEOPLASIAS, MEDULOBLASTOMA, CRIANÇAS
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ABNT
SILVA, Andréa Martins da et al. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors. Pediatric Blood and Cancer. Hoboken: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. Disponível em: https://doi.org/10.1002/pbc.29349. Acesso em: 15 nov. 2024. , 2021
APA
Silva, A. M. da, Popolin Neto, M., Paulovich, F. V., Salomão, K. B., Silva, K. R. da, Veronez, L. C., et al. (2021). Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors. Pediatric Blood and Cancer. Hoboken: Instituto de Ciências Matemáticas e de Computação, Universidade de São Paulo. doi:10.1002/pbc.29349
NLM
Silva AM da, Popolin Neto M, Paulovich FV, Salomão KB, Silva KR da, Veronez LC, Silva Junior WA da, Valera ET, Scrideli CA, Tone LG. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors [Internet]. Pediatric Blood and Cancer. 2021 ; No 2021( S5): S541-542.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/pbc.29349
Vancouver
Silva AM da, Popolin Neto M, Paulovich FV, Salomão KB, Silva KR da, Veronez LC, Silva Junior WA da, Valera ET, Scrideli CA, Tone LG. Novel bioinformatics approaches for Rna analysis may reveal common promising molecular markers between three pediatric tumors [Internet]. Pediatric Blood and Cancer. 2021 ; No 2021( S5): S541-542.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/pbc.29349
Artigo de periodico
Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment (2020)
Albuquerque, Sérgio de ; Cianni, Lorenzo ; Vita, Daniela de ; Lopes, Carla Duque ; Gomes, Ana S. M.; Gomes, Paula; Laughton, Charles; Leitão, Andrei ; Montanari, Carlos Alberto ; Montanari, Raphael ; Ribeiro, Jean Francisco Rosa ; Silva, João Santana da ; Teixeira, Cátia
Source: Chemical Biology & Drug Design. Unidades: FCFRP, IQSC, FMRP, EESC, ICMC
Subjects: DOENÇA DE CHAGAS, TRYPANOSOMA CRUZI
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ABNT
ALBUQUERQUE, Sérgio de et al. Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment. Chemical Biology & Drug Design, v. 96, p. 948–960, 2020Tradução . . Disponível em: https://doi.org/10.1111/cbdd.13663. Acesso em: 15 nov. 2024.
APA
Albuquerque, S. de, Cianni, L., Vita, D. de, Lopes, C. D., Gomes, A. S. M., Gomes, P., et al. (2020). Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment. Chemical Biology & Drug Design, 96, 948–960. doi:10.1111/cbdd.13663
NLM
Albuquerque S de, Cianni L, Vita D de, Lopes CD, Gomes ASM, Gomes P, Laughton C, Leitão A, Montanari CA, Montanari R, Ribeiro JFR, Silva JS da, Teixeira C. Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment [Internet]. Chemical Biology & Drug Design. 2020 ; 96 948–960.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/cbdd.13663
Vancouver
Albuquerque S de, Cianni L, Vita D de, Lopes CD, Gomes ASM, Gomes P, Laughton C, Leitão A, Montanari CA, Montanari R, Ribeiro JFR, Silva JS da, Teixeira C. Molecular design aided by random forests and synthesis of potent trypanocidal agents as cruzain inhibitors for Chagas disease treatment [Internet]. Chemical Biology & Drug Design. 2020 ; 96 948–960.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1111/cbdd.13663
Artigo de periodico
Multiobjective evolutionary algorithm with many tables for purely ab initio protein structure prediction (2013)
Brasil, Christiane Regina Soares Brasil; Delbem, Alexandre Cláudio Botazzo ; Silva, Fernando Luís Barroso da
Source: Journal of Computational Chemistry. Unidades: ICMC, FCFRP
Subjects: SISTEMAS EMBUTIDOS, COMPUTAÇÃO EVOLUTIVA, ROBÓTICA
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ABNT
BRASIL, Christiane Regina Soares Brasil e DELBEM, Alexandre Cláudio Botazzo e SILVA, Fernando Luís Barroso da. Multiobjective evolutionary algorithm with many tables for purely ab initio protein structure prediction. Journal of Computational Chemistry, v. 34, n. 20, p. 1719-1734, 2013Tradução . . Disponível em: https://doi.org/10.1002/jcc.23315. Acesso em: 15 nov. 2024.
APA
Brasil, C. R. S. B., Delbem, A. C. B., & Silva, F. L. B. da. (2013). Multiobjective evolutionary algorithm with many tables for purely ab initio protein structure prediction. Journal of Computational Chemistry, 34( 20), 1719-1734. doi:10.1002/jcc.23315
NLM
Brasil CRSB, Delbem ACB, Silva FLB da. Multiobjective evolutionary algorithm with many tables for purely ab initio protein structure prediction [Internet]. Journal of Computational Chemistry. 2013 ; 34( 20): 1719-1734.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/jcc.23315
Vancouver
Brasil CRSB, Delbem ACB, Silva FLB da. Multiobjective evolutionary algorithm with many tables for purely ab initio protein structure prediction [Internet]. Journal of Computational Chemistry. 2013 ; 34( 20): 1719-1734.[citado 2024 nov. 15 ] Available from: https://doi.org/10.1002/jcc.23315
Trabalho de evento
Protpred-gromacs: evolutionary algorithm with gromacs for protein structure prediction (2011)
Faccioli, Rodrigo Antonio; Silva, Ivan Nunes da; Delbem, Alexandre Cláudio Botazzo ; Brancini, Guilherme Thomaz Pereira; Caliri, Antonio
Source: Proceedings of BIOMAT. Conference titles: International Symposium on Mathematical and Computational Biology. Unidades: EESC, ICMC, FCFRP
Subjects: BIOINFORMÁTICA, DESIGN DE PRODUTOS, PROTEÍNAS
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ABNT
FACCIOLI, Rodrigo Antonio et al. Protpred-gromacs: evolutionary algorithm with gromacs for protein structure prediction. 2011, Anais.. Santiago de Chile: Escola de Engenharia de São Carlos, Universidade de São Paulo, 2011. . Acesso em: 15 nov. 2024.
APA
Faccioli, R. A., Silva, I. N. da, Delbem, A. C. B., Brancini, G. T. P., & Caliri, A. (2011). Protpred-gromacs: evolutionary algorithm with gromacs for protein structure prediction. In Proceedings of BIOMAT. Santiago de Chile: Escola de Engenharia de São Carlos, Universidade de São Paulo.
NLM
Faccioli RA, Silva IN da, Delbem ACB, Brancini GTP, Caliri A. Protpred-gromacs: evolutionary algorithm with gromacs for protein structure prediction. Proceedings of BIOMAT. 2011 ;[citado 2024 nov. 15 ]
Vancouver
Faccioli RA, Silva IN da, Delbem ACB, Brancini GTP, Caliri A. Protpred-gromacs: evolutionary algorithm with gromacs for protein structure prediction. Proceedings of BIOMAT. 2011 ;[citado 2024 nov. 15 ]
Parte de monografia/livro
Some modeling issues for protein structure prediction using evolutionary algorithms (2009)
Lima, Telma Woerle de; Caliri, Antonio; Silva, Fernando Luís Barroso da; Tinós, Renato; Travieso, Gonzalo ; Silva, Ivan Nunes da; Souza, Paulo Sérgio Lopes de ; Marques, Eduardo ; Delbem, Alexandre Cláudio Botazzo ; Bonatto, Vanderlei; Faccioli, Rodrigo; Brasil, Christiane Regina Soares; Gabriel, Paulo Henrique Ribeiro; Ó, Vinícius Tragante do; Bonetti, Daniel Rodrigo Ferraz
Source: Evolutionary computation. Unidades: FCFRP, FFCLRP, IFSC, EESC, ICMC
Subjects: PROTEÍNAS (ESTRUTURA;ESTUDO), PLANEJAMENTO DE FÁRMACOS, SEQUENCIAMENTO GENÉTICO, AMINOÁCIDOS
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ABNT
LIMA, Telma Woerle de et al. Some modeling issues for protein structure prediction using evolutionary algorithms. Evolutionary computation. Tradução . Vukovar: In-Teh, 2009. . . Acesso em: 15 nov. 2024.
APA
Lima, T. W. de, Caliri, A., Silva, F. L. B. da, Tinós, R., Travieso, G., Silva, I. N. da, et al. (2009). Some modeling issues for protein structure prediction using evolutionary algorithms. In Evolutionary computation. Vukovar: In-Teh.
NLM
Lima TW de, Caliri A, Silva FLB da, Tinós R, Travieso G, Silva IN da, Souza PSL de, Marques E, Delbem ACB, Bonatto V, Faccioli R, Brasil CRS, Gabriel PHR, Ó VT do, Bonetti DRF. Some modeling issues for protein structure prediction using evolutionary algorithms. In: Evolutionary computation. Vukovar: In-Teh; 2009. [citado 2024 nov. 15 ]
Vancouver
Lima TW de, Caliri A, Silva FLB da, Tinós R, Travieso G, Silva IN da, Souza PSL de, Marques E, Delbem ACB, Bonatto V, Faccioli R, Brasil CRS, Gabriel PHR, Ó VT do, Bonetti DRF. Some modeling issues for protein structure prediction using evolutionary algorithms. In: Evolutionary computation. Vukovar: In-Teh; 2009. [citado 2024 nov. 15 ]

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