| |
|
|
| Registros recuperados : 5 | |
| 1. |  | MAK, J. K.; BENDANDI, A.; SALIM, J. A.; MAZONI, I.; MORAES, F. R. de; BORRO, L.; STÖRTZ, F.; ROCCHIA, W.; NESHICH, G.; MINARY, P. Learning to utilize internal protein 3D nanoenvironment descriptors in predicting CRISPR–Cas9 of f-tar get activity. NAR Genomics and Bioinformatics, v. 7, n. 2, lqaf054, June 2025.| Biblioteca(s): Embrapa Agricultura Digital. |
|    |
| 2. | | NESHICH, G.; NESHICH, I. A. P.; MORAES, F.; SALIM, J. A.; BORRO, L.; YANO, I. H.; MAZONI, I.; JARDINE, J. G.; ROCCHIA, W. Using structural and physical-chemical parameters to identify, classify, and predict functional districts in proteins-the role of electrostatic potential. In: ROCCHIA, W.; SPAGNUOLO, M. (Ed.). Computational electrostatics for biological applications: geometric and numerical approaches to the description of electrostatic interaction between macromolecules. Cham: Springer, 2015. Chapter 12. p. 227-254.| Biblioteca(s): Embrapa Agricultura Digital. |
|  |
| 4. | | NESHICH, G.; ROCCHIA, W.; MANCINI, A. L.; YAMAGISHI, M. E. B.; KUSER, P. R.; FILETO, R.; BAUDET, C.; PINTO, I. P.; MONTAGNER, A. J.; PALANDRANI, J. F.; KRAUCHENCO, J. N.; TORRES, R. C.; SOUZA, S.; TOGAWA, R. C.; HIGA, R. H. Java Protein Dossier: a novel web-based data visualization tool for comprehensive analysis of protein structure. Nucleic Acids Research, v. 32, W595-W601, 2004.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| 5. | | NESHICH, G.; YAMAGISHI, M. E. B.; ROCCHIA, W.; MANCINI, A. L.; FALCAO, P. R. K.; FILETO, R.; BAUDET, C.; PINTO, I. P.; MONTAGNER, A. J.; PALANDRANI, J. F.; KRAUCHENCO, J. N.; TORRES, R. C.; BEZERRA, G. B. P.; SOUZA, S.; TOGAWA, R. C.; HIGA, R. H. Protein structure analysis and visualization using Java Protein Dossier. In: INTERNATIONAL CONFERENCE ON CHEMOMETRICS AND BIOINFORMATICS IN ASIA, 2004, Shanghai. Proceedings... Shanghai: [s.n.], 2004. 1 p. CCBA 2004. Na publicação: Paula R. Kuser.| Biblioteca(s): Embrapa Agricultura Digital. |
| |
| Registros recuperados : 5 | |
|
|
|
 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
Registro Completo
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
|
Data corrente: |
03/08/2005 |
|
Data da última atualização: |
17/01/2020 |
|
Autoria: |
NESHICH, G.; ROCCHIA, W.; MANCINI, A. L.; YAMAGISHI, M. E. B.; KUSER, P. R.; FILETO, R.; BAUDET, C.; PINTO, I. P.; MONTAGNER, A. J.; PALANDRANI, J. F.; KRAUCHENCO, J. N.; TORRES, R. C.; SOUZA, S.; TOGAWA, R. C.; HIGA, R. H. |
|
Afiliação: |
GORAN NESHICH, CNPTIA; WALTER ROCCHIA, NEST-INFM; ADAUTO LUIZ MANCINI, CNPTIA; MICHEL EDUARDO BELEZA YAMAGISHI, CNPTIA; PAULA REGINA KUSER FALCAO, CNPTIA; RENATO FILETO; CHRISTIAN BAUDET; IVAN P. PINTO; ARNALDO J. MONTAGNER; JULIANA F. PALANDRANI; JOÃO N. KRAUCHENCO; RENATO C. TORRES; SAVIO SOUZA; ROBERTO COITI TOGAWA, CENARGEN; ROBERTO HIROSHI HIGA, CNPTIA. |
|
Título: |
Java Protein Dossier: a novel web-based data visualization tool for comprehensive analysis of protein structure. |
|
Ano de publicação: |
2004 |
|
Fonte/Imprenta: |
Nucleic Acids Research, v. 32, W595-W601, 2004. |
|
Idioma: |
Inglês |
|
Conteúdo: |
Java Protein Dossier (JPD) is a new concept, database and visualization tool providing one of the largest collections of the physicochemical parameters describing proteins´structure, stability, function and interaction with other macromolecules. By collecting as many descriptors/parameters as possible within a single database, we can achieve a better use of the available data and information. Furthermore, data grouping allows us to generate different parameters with the potential to provide new insights into the sequence-structure-function relationship. In JPD, residue selection can be performed according to multiple criteria. JPD can simultaneously display and analyze all the physicochemical parameters of any pair of structures, using precalculated structural alignments, allowing direct parameter comparison at corresponding amino acid positions among homologous structures. In order to focus on the physicochemical (and consequently pharmacological) profile of proteins, visualization tools (showing the structure and structural parameters) also had to be optimized. Our response to this challenge was the use of Java technology with its exceptional level of interactivity. |
|
Palavras-Chave: |
Banco de dados; Estrutura proteica; Java. |
|
Thesagro: |
Proteina. |
|
Thesaurus NAL: |
Databases; Protein structure. |
|
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 02185naa a2200361 a 4500
001 1009079
005 2020-01-17
008 2004 bl uuuu u00u1 u #d
100 1 $aNESHICH, G.
245 $aJava Protein Dossier$ba novel web-based data visualization tool for comprehensive analysis of protein structure.$h[electronic resource]
260 $c2004
520 $aJava Protein Dossier (JPD) is a new concept, database and visualization tool providing one of the largest collections of the physicochemical parameters describing proteins´structure, stability, function and interaction with other macromolecules. By collecting as many descriptors/parameters as possible within a single database, we can achieve a better use of the available data and information. Furthermore, data grouping allows us to generate different parameters with the potential to provide new insights into the sequence-structure-function relationship. In JPD, residue selection can be performed according to multiple criteria. JPD can simultaneously display and analyze all the physicochemical parameters of any pair of structures, using precalculated structural alignments, allowing direct parameter comparison at corresponding amino acid positions among homologous structures. In order to focus on the physicochemical (and consequently pharmacological) profile of proteins, visualization tools (showing the structure and structural parameters) also had to be optimized. Our response to this challenge was the use of Java technology with its exceptional level of interactivity.
650 $aDatabases
650 $aProtein structure
650 $aProteina
653 $aBanco de dados
653 $aEstrutura proteica
653 $aJava
700 1 $aROCCHIA, W.
700 1 $aMANCINI, A. L.
700 1 $aYAMAGISHI, M. E. B.
700 1 $aKUSER, P. R.
700 1 $aFILETO, R.
700 1 $aBAUDET, C.
700 1 $aPINTO, I. P.
700 1 $aMONTAGNER, A. J.
700 1 $aPALANDRANI, J. F.
700 1 $aKRAUCHENCO, J. N.
700 1 $aTORRES, R. C.
700 1 $aSOUZA, S.
700 1 $aTOGAWA, R. C.
700 1 $aHIGA, R. H.
773 $tNucleic Acids Research$gv. 32, W595-W601, 2004.
Download
Esconder MarcMostrar Marc Completo |
|
Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
|
|
Biblioteca |
ID |
Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
Status |
Fechar
|
| Nenhum registro encontrado para a expressão de busca informada. |
|
|
