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Registros recuperados : 77 | |
2. | | MAZONI, I.; NESHICH, G. DIPN: a dictionary of the internal proteins nanoenvironments and their potential for transformation into agricultural assets. In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; OLIVEIRA, S. R. de M.; MEIRA, C. A. A.; LUCHIARI JUNIOR, A.; BOLFE, E. L. (ed.). Digital agriculture: research, development and innovation in production chains. Brasília, DF: Embrapa, 2023. cap. 9, p. 165-177. Biblioteca(s): Embrapa Agricultura Digital. |
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3. | | MAZONI, I.; NESHICH, G. DPIN: um dicionário dos nanoambientes internos das proteínas e seu potencial para transformação em ativos para a agricultura. In: MASSRUHÁ, S. M. F. S.; LEITE, M. A. de A.; OLIVEIRA, S. R. de M.; MEIRA, C. A. A.; LUCHIARI JUNIOR, A.; BOLFE, E. L. (Ed.). Agricultura digital: pesquisa, desenvolvimento e inovação nas cadeias produtivas. Brasília, DF: Embrapa, 2020. cap. 9, p. 218-232. Biblioteca(s): Embrapa Agricultura Digital. |
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10. | | JARDINE, J. G.; MAZONI, I.; BORRO, L. C.; ALVARENGA, D.; NESHICH, G. Signature contact coordination patterns for secondary structure elements in protein structures. In: ANNUAL MEETING OF SBBQ, 37.; CONGRESS OF THE PAN-AMERICAN ASSOCIATION FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 11, 2008, Águas de Lindóia. Program and index... Águas de Lindóia: SBBq, 2008. Não paginado. PABMB. Biblioteca(s): Embrapa Agricultura Digital. |
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11. | | MAZONI, I.; BORRO, L. C.; ALVARENGA, D.; JARDINE, J. G.; NESHICH, G. Studying structure function relationship of proteins using "remediated" PDB files. In: ANNUAL MEETING OF SBBQ, 37.; CONGRESS OF THE PAN-AMERICAN ASSOCIATION FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 11, 2008, Águas de Lindóia. Program and index... Águas de Lindóia, Program and index... Águas de Lindóia: SBBq, 2008. Não paginado. PABMB. Biblioteca(s): Embrapa Agricultura Digital. |
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12. | | MAZONI, I.; BORRO, L. C.; JARDINE, J. G.; YANO, I. H.; SALIM, J. A.; NESHICH, G. Study of specific nanoenvironments containing [alfa]-helices in all-[alfa] and ([alfa]+[beta])+([alfa]/[beta]) proteins. Plos One, v. 13, n. 7, p. 1-25, 2018. Artigo e0200018. Biblioteca(s): Embrapa Agricultura Digital; Embrapa Territorial. |
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14. | | TOGAWA, R. C.; RIBEIRO, C.; MAZONI, I.; PELLIGRINELLI, T.; JARDINE, J. G.; NESHICH, G. The table of interface forming residues as the specificity indicator for serine proteases bound to different inhibitors. In: INTERNATIONAL CONFERENCE ON BIOINFORMATICS & COMPUTATIONAL BIOLOGY, 2008, Georgia. Las Vegas Nevada: CSREA, 2008, p. 811-817. BIOCOMP 2008. WORLDCOMP'08 Biblioteca(s): Embrapa Agricultura Digital; Embrapa Recursos Genéticos e Biotecnologia. |
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15. | | PENA, I.; MANCINI, A. L.; MAZONI, I.; JARDINE, J. G.; NESHICH, G.; ORTEGA, J. M. Identification of philogenetic relationship between GDPD and SMaseD proteins based on active site amino acid physical chemical properties. In: INTERNATIONAL CONFERENCE OF BRAZILIAN ASSOCIATION FOR BIOINFORMATICS AND COMPUTATIONAL BIOLOGY, 4., 2008, Salvador. Proceedings... Salvador: AB³C, 2008. Não paginado. X-Meeting 2008. Biblioteca(s): Embrapa Agricultura Digital. |
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16. | | BORRO, L. C.; SALIM, J. A.; MAZONI, I.; YANO, I.; JARDINE, J. G.; NESHICH, G. Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions. In: CONGRESS OF THE INTERNATIONAL UNION FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 23.; ANNUAL MEETING OF THE BRAZILIAN SOCIETY FOR BIOCHEMISTRY AND MOLECULAR BIOLOGY, 44., 2015, Foz do Iguaçu. Biochemistry for a better world: abstracts book. [Foz do Iguaçu]: SBBq, 2015. p. 153. C.047. Biblioteca(s): Embrapa Agricultura Digital. |
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18. | | MELO, R. C.; MAZONI, I.; NESHICH, G.; SANTORO, M. M.; MEIRA JUNIOR, W. Protein structure topology comparison based on contact maps. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. Não paginado. ISMB, X-MEETING 2006. Poster I-5. Biblioteca(s): Embrapa Agricultura Digital. |
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19. | | MELO, R. C.; MAZONI, I.; NESHICH, G.; SANTORO, M. M.; MEIRA JÚNIOR, W. Contacts as the key elements for comparing two protein structures. In: ANNUAL INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS FOR MOLECULAR BIOLOGY, 14.; ANNUAL AB3C CONFERENCE, 2., 2006, Fortaleza. Conference Program... Fortaleza: ISCB, 2006. Não paginado. ISMB, X-MEETING 2006. Poster I-6. Biblioteca(s): Embrapa Agricultura Digital. |
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Registros recuperados : 77 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
17/01/2017 |
Data da última atualização: |
21/01/2020 |
Tipo da produção científica: |
Resumo em Anais de Congresso |
Autoria: |
BORRO, L.; YANO, I. H.; MAZONI, I.; NESHICH, G. |
Afiliação: |
LUIZ BORRO, Unicamp; INACIO HENRIQUE YANO, CNPTIA; IVAN MAZONI, CNPTIA; GORAN NESHICH, CNPTIA. |
Título: |
Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS, 2016, Orlando. [Proceedings...]. Orlando: [s.n.], 2016. |
Páginas: |
p. 116-117. |
Descrição Física: |
1 pôster. |
Idioma: |
Inglês |
Notas: |
3Dsig 2016. Pôster #56. |
Conteúdo: |
We propose a new empirical scoring function for binding affinity prediction modeled based on physicochemical and structural descriptors that characterize the nano-environment that encompass both ligand and binding pocket residues. Our hypothesis is that a more detailed characterization of protein-ligand complexes in terms of describing nano-environment as precisely as possible can lead to improvements in binding affinity prediction. |
Palavras-Chave: |
Binding affinity prediction model; Complexo proteína-ligante; Empiric nonparametric predictive model; Interações entre proteína e ligantes; Modelagem; Modelos; Plataforma Sting; Protein-ligand complex. |
Thesaurus NAL: |
Binding properties; Models. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/153412/1/PL-3DSIG-2016-Binding-Borro.pdf
|
Marc: |
LEADER 01495nam a2200289 a 4500 001 2060954 005 2020-01-21 008 2016 bl uuuu u00u1 u #d 100 1 $aBORRO, L. 245 $aBinding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions.$h[electronic resource] 260 $aIn: STRUCTURAL BIOINFORMATICS AND COMPUTATIONAL BIOPHYSICS, 2016, Orlando. [Proceedings...]. Orlando: [s.n.]$c2016 300 $ap. 116-117.$c1 pôster. 500 $a3Dsig 2016. Pôster #56. 520 $aWe propose a new empirical scoring function for binding affinity prediction modeled based on physicochemical and structural descriptors that characterize the nano-environment that encompass both ligand and binding pocket residues. Our hypothesis is that a more detailed characterization of protein-ligand complexes in terms of describing nano-environment as precisely as possible can lead to improvements in binding affinity prediction. 650 $aBinding properties 650 $aModels 653 $aBinding affinity prediction model 653 $aComplexo proteína-ligante 653 $aEmpiric nonparametric predictive model 653 $aInterações entre proteína e ligantes 653 $aModelagem 653 $aModelos 653 $aPlataforma Sting 653 $aProtein-ligand complex 700 1 $aYANO, I. H. 700 1 $aMAZONI, I. 700 1 $aNESHICH, G.
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Embrapa Agricultura Digital (CNPTIA) |
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