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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
04/08/2005 |
Data da última atualização: |
14/03/2018 |
Autoria: |
NESHICH, G.; BORRO, L. C.; HIGA, R. H.; KUSER, P. R.; YAMAGISHI, M. E. B.; FRANCO, E. H.; KRAUCHENCO, J. N.; FILETO, R.; RIBEIRO, A. A.; BEZERRA, G. B. P.; VELLUDO, T. M.; JIMENEZ, T. S.; FURUKAWA, N.; TESHIMA, H.; KITAJIMA, K.; BAVA, A.; SARAI, A.; TOGAWA, R. C.; MANCINI, A. L. |
Afiliação: |
GORAN NESHICH, CNPTIA; LUIZ C. BORRO; ROBERTO HIROSHI HIGA, CNPTIA; PAULA REGINA KUSER, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; EDUARDO H. FRANCO; JOÃO N. KRAUCHENCO; RENATO FILETO; ANDRÉ A. RIBEIRO; GEORGE B. P. BEZERRA; THIAGO M. VELLUDO; THOMÁS S. JIMENEZ; NOBORU FURUKAWA, Department of Bioscience and Bioinformatics/Kyushu Institute of Technology (KIT); HIROFUMI TESHIMA, KIT; KOJI KITAJIMA, KIT; ABDULLA BAVA, KIT; AKINORI SARAI, KIT; ROBERTO COITI TOGAWA, CENARGEN; ADAUTO LUIZ MANCINI, CNPTIA. |
Título: |
The Diamond Sting server. |
Ano de publicação: |
2005 |
Fonte/Imprenta: |
Nucleic Acids Research, v. 33, W29-W35, 2005. |
DOI: |
10.1093/nar/gki397 |
Idioma: |
Inglês |
Conteúdo: |
Diamond STING is a new version of the STING suite of programs for a comprehensive analysis of a relationship between protein sequence, structure, function and stability. We have added a number of new functionalities by both providing more structure parameters to the STING Database and by improving/ expanding the Interface for enhanced data handling. The integration among the STING components has also been Improved. A new key feature is the ability of the STING server to handle local files containing protein structures (either modeled or not yet deposited to the Protein Data Bank) so that they can be used by the principal STING components: JavaProtein Dossier (JPD) and STING Report. The current capabilities of the new STING version and a couple of biologically relevant applications are described here. We have provided an example where Diamond STING identifies the active site amino acids and folding essential amino acids (both previously determined by experiments) by filtering out all but those residues by selecting the numerical values/ranges for a set of corresponding parameters. This is the fundamental step toward a more interesting endeavor-the prediction of such residues. |
Palavras-Chave: |
Diamond STING; Estrutura de proteína; JavaProtein Dossier; STING. |
Thesagro: |
Proteina. |
Thesaurus Nal: |
Protein structure. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/80301/1/Diamond-S.pdf
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Marc: |
LEADER 02272naa a2200421 a 4500 001 1009085 005 2018-03-14 008 2005 bl uuuu u00u1 u #d 024 7 $a10.1093/nar/gki397$2DOI 100 1 $aNESHICH, G. 245 $aThe Diamond Sting server.$h[electronic resource] 260 $c2005 520 $aDiamond STING is a new version of the STING suite of programs for a comprehensive analysis of a relationship between protein sequence, structure, function and stability. We have added a number of new functionalities by both providing more structure parameters to the STING Database and by improving/ expanding the Interface for enhanced data handling. The integration among the STING components has also been Improved. A new key feature is the ability of the STING server to handle local files containing protein structures (either modeled or not yet deposited to the Protein Data Bank) so that they can be used by the principal STING components: JavaProtein Dossier (JPD) and STING Report. The current capabilities of the new STING version and a couple of biologically relevant applications are described here. We have provided an example where Diamond STING identifies the active site amino acids and folding essential amino acids (both previously determined by experiments) by filtering out all but those residues by selecting the numerical values/ranges for a set of corresponding parameters. This is the fundamental step toward a more interesting endeavor-the prediction of such residues. 650 $aProtein structure 650 $aProteina 653 $aDiamond STING 653 $aEstrutura de proteína 653 $aJavaProtein Dossier 653 $aSTING 700 1 $aBORRO, L. C. 700 1 $aHIGA, R. H. 700 1 $aKUSER, P. R. 700 1 $aYAMAGISHI, M. E. B. 700 1 $aFRANCO, E. H. 700 1 $aKRAUCHENCO, J. N. 700 1 $aFILETO, R. 700 1 $aRIBEIRO, A. A. 700 1 $aBEZERRA, G. B. P. 700 1 $aVELLUDO, T. M. 700 1 $aJIMENEZ, T. S. 700 1 $aFURUKAWA, N. 700 1 $aTESHIMA, H. 700 1 $aKITAJIMA, K. 700 1 $aBAVA, A. 700 1 $aSARAI, A. 700 1 $aTOGAWA, R. C. 700 1 $aMANCINI, A. L. 773 $tNucleic Acids Research$gv. 33, W29-W35, 2005.
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Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
20/10/2021 |
Data da última atualização: |
20/10/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
AGUIAR, M. O.; SILVA, G. F. da; MAURI, G. R.; MENDONÇA, A. R. de; SANTANA, C. J. de O.; MARCATTI, G. E.; SILVA, M. L. M. da; SILVA, E. F. da; FIGUEIREDO, E. O.; SILVA, J. P. M.; SILVA, R. F.; SANTOS, J. S.; LAVAGNOLI, G. L.; LEITE, C. C. C. |
Afiliação: |
MARCELO OTONE AGUIAR, Federal University of Espirito Santo (UFES); GILSON FERNANDES DA SILVA, Federal University of Espirito Santo (UFES); GERALDO REGIS MAURI, Federal University of Espirito Santo (UFES); ADRIANO RIBEIRO DE MENDONÇA, Federal University of Espirito Santo (UFES); CESAR JUNIO DE OLIVEIRA SANTANA, Remsoft Solutions; GUSTAVO EDUARDO MARCATTI, Federal University of São João del-Rei; MAYRA LUIZA MARQUES DA SILVA, Federal University of São João del-Rei; EVANDRO FERREIRA DA SILVA, Federal University of Pará (UFPA); EVANDRO ORFANO FIGUEIREDO, CPAF-AC; JEFERSON PEREIRA MARTINS SILVA, Federal University of Espirito Santo (UFES); RODRIGO FREITAS SILVA, Federal University of Espirito Santo (UFES); JEANGELIS SILVA SANTOS, Federal University of Espirito Santo (UFES); GABRIEL LESSA LAVAGNOLI, Federal University of Espirito Santo (UFES); CATHERINE CRISTINA CLAROS LEITE, UTecman Ltda. |
Título: |
Optimizing forest road planning in a sustainable forest management area in the Brazilian Amazon. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Journal of Environmental Management, v. 288, 112332, 2021. |
ISSN: |
0301-4797 |
DOI: |
https://doi.org/10.1016/j.jenvman.2021.112332 |
Idioma: |
Inglês |
Conteúdo: |
The construction of forest roads in Brazilian Amazon is costly and has a significant environmental impact. Several practices and principles must be observed to comply with legislation, to preserve the remaining forest, and to ensure sustainable exploitation. Road planning is complex in this context, based on the number of aspects and variables that must be considered. This research aimed to evaluate computational methods? effectiveness in planning forest roads, optimizing resources to reduce damage to the remaining forest, compared to traditional planning methods. The study area was a native forest under a sustainable forest management regime located in municipalities of Terra Santa and Oriximin´a, in Par´a, in Brazilian Amazon. Data obtained from area made it possible formulate six instances of different sizes. A binary integer linear programming model was used, solved using CPLEX software, and Dijkstra, Bellman-Ford, Dial, and D?Esopo-Pape shortest path algorithm, implemented in C programming language. During processing of instances, the time taken to obtain the solution increased according to size of instance, however, time difference was not significant. Among the evaluated algorithms, the D'Esopo-Pape algorithm showed the best performance. The evaluated methods were effective in obtaining an optimal solution for proposed forest road planning. The solutions obtained using computational methods more effectively considered the restrictions associated with sustainable forest management, in contrast to those derived from the traditional planning by forestry company. MenosThe construction of forest roads in Brazilian Amazon is costly and has a significant environmental impact. Several practices and principles must be observed to comply with legislation, to preserve the remaining forest, and to ensure sustainable exploitation. Road planning is complex in this context, based on the number of aspects and variables that must be considered. This research aimed to evaluate computational methods? effectiveness in planning forest roads, optimizing resources to reduce damage to the remaining forest, compared to traditional planning methods. The study area was a native forest under a sustainable forest management regime located in municipalities of Terra Santa and Oriximin´a, in Par´a, in Brazilian Amazon. Data obtained from area made it possible formulate six instances of different sizes. A binary integer linear programming model was used, solved using CPLEX software, and Dijkstra, Bellman-Ford, Dial, and D?Esopo-Pape shortest path algorithm, implemented in C programming language. During processing of instances, the time taken to obtain the solution increased according to size of instance, however, time difference was not significant. Among the evaluated algorithms, the D'Esopo-Pape algorithm showed the best performance. The evaluated methods were effective in obtaining an optimal solution for proposed forest road planning. The solutions obtained using computational methods more effectively considered the restrictions associated with sustainable fores... Mostrar Tudo |
Palavras-Chave: |
Amazônia Oriental; Caminos forestales; Construcción de carreteras; CPLEX software; Eastern Amazon; FLONA Saracá-Taquera; Manejo florestal sustentável; Oriximiná (PA); Pará; Planejamento de estradas; Planificación de carreteras; Programación lineal; Road planning; Silvicultura sustentable; Terra Santa (PA). |
Thesagro: |
Estrada Rural; Impacto Ambiental; Planejamento Florestal; Programa de Computador; Programação Linear. |
Thesaurus NAL: |
Computer software; Environmental impact; Forest roads; Linear programming; Road construction; Sustainable forestry. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
Marc: |
LEADER 03437naa a2200613 a 4500 001 2135462 005 2021-10-20 008 2021 bl uuuu u00u1 u #d 022 $a0301-4797 024 7 $ahttps://doi.org/10.1016/j.jenvman.2021.112332$2DOI 100 1 $aAGUIAR, M. O. 245 $aOptimizing forest road planning in a sustainable forest management area in the Brazilian Amazon.$h[electronic resource] 260 $c2021 520 $aThe construction of forest roads in Brazilian Amazon is costly and has a significant environmental impact. Several practices and principles must be observed to comply with legislation, to preserve the remaining forest, and to ensure sustainable exploitation. Road planning is complex in this context, based on the number of aspects and variables that must be considered. This research aimed to evaluate computational methods? effectiveness in planning forest roads, optimizing resources to reduce damage to the remaining forest, compared to traditional planning methods. The study area was a native forest under a sustainable forest management regime located in municipalities of Terra Santa and Oriximin´a, in Par´a, in Brazilian Amazon. Data obtained from area made it possible formulate six instances of different sizes. A binary integer linear programming model was used, solved using CPLEX software, and Dijkstra, Bellman-Ford, Dial, and D?Esopo-Pape shortest path algorithm, implemented in C programming language. During processing of instances, the time taken to obtain the solution increased according to size of instance, however, time difference was not significant. Among the evaluated algorithms, the D'Esopo-Pape algorithm showed the best performance. The evaluated methods were effective in obtaining an optimal solution for proposed forest road planning. The solutions obtained using computational methods more effectively considered the restrictions associated with sustainable forest management, in contrast to those derived from the traditional planning by forestry company. 650 $aComputer software 650 $aEnvironmental impact 650 $aForest roads 650 $aLinear programming 650 $aRoad construction 650 $aSustainable forestry 650 $aEstrada Rural 650 $aImpacto Ambiental 650 $aPlanejamento Florestal 650 $aPrograma de Computador 650 $aProgramação Linear 653 $aAmazônia Oriental 653 $aCaminos forestales 653 $aConstrucción de carreteras 653 $aCPLEX software 653 $aEastern Amazon 653 $aFLONA Saracá-Taquera 653 $aManejo florestal sustentável 653 $aOriximiná (PA) 653 $aPará 653 $aPlanejamento de estradas 653 $aPlanificación de carreteras 653 $aProgramación lineal 653 $aRoad planning 653 $aSilvicultura sustentable 653 $aTerra Santa (PA) 700 1 $aSILVA, G. F. da 700 1 $aMAURI, G. R. 700 1 $aMENDONÇA, A. R. de 700 1 $aSANTANA, C. J. de O. 700 1 $aMARCATTI, G. E. 700 1 $aSILVA, M. L. M. da 700 1 $aSILVA, E. F. da 700 1 $aFIGUEIREDO, E. O. 700 1 $aSILVA, J. P. M. 700 1 $aSILVA, R. F. 700 1 $aSANTOS, J. S. 700 1 $aLAVAGNOLI, G. L. 700 1 $aLEITE, C. C. C. 773 $tJournal of Environmental Management$gv. 288, 112332, 2021.
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