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Development of a suite of bioinformatics tools for the analysis and prection of membrane protein structure. Author(s): TOGAWA, R. C. This thesis describes the development of a novel approach for prediction of the three-dimensional structure of transmembrane regions of membrane proteins directly from amino acid sequence and basic tr... ... Repository: BDPA Publication year: 2006
Embrapa Bioinformatics Multi-Users Laboratory - LMB. Author(s): KUSER-FALCÃO, P. R.; YAMAGISHI, M. E. B.; GIACHETTO, P. F.; SILVA, F. R.; LOBO, F. P.; CINTRA, L. C.; ZERLOTINI, A.; HIGA, R.; VIEIRA, F. The Bioinformatics Multi-Users Laboratory of Embrapa provides an array of shared research resources and infra-structure to the Embrapa community and research collaborators The primary mission of the L... ... Repository: BDPA Publication year: 2012
Large scale protein function prediction tools. Author(s): MINARDI, R. C. de M.; ARTIGUENAVE, F.; NESHICH, G. In this project we intend to reinforce a recent collaboration established between two French and Brazilian bioinformatics laboratories for the development of a structural genomics approach to function... ... Repository: BDPA Publication year: 2009
CNBi: the new Brazilian National Consortium for Bioinformatics. Author(s): HERAI, R. H.; VIDAL, R. O.; CARAZZOLLE, M. F.; COSTA, G. G. L.; FALCAO, P. R. K.; YAMAGISHI, M. E. B.; FRANCHINI, K. G.; PEREIRA, G. G. A. PRESENTATION: The National Consortium for Bioinformatics (CNBi) is a multidisciplinary center dedicated to research, development, management and technical support on questions arising from bioinformat... ... Repository: BDPA Publication year: 2010
The Star STING server: a multiplatform environment for protein structure analysis. Author(s): NESHICH, G.; MAZONI, I.; OLIVEIRA, S. R. M.; YAMAGISHI, M. E. B.; KUSER-FALCÃO, P. R.; BORRO, L. C.; MORITA, D. U.; SOUZA, K. R. R.; ALMEIDA, G. V.; RODRIGUES, D. N.; JARDINE, J. G.; TOGAWA, R. C.; MANCINI, A. L.; HIGA, R. H.; CRUZ, S. A. B.; VIEIRA, F. D.; SANTOS, E. H.; MELO, R. C.; SANTORO, M. M. ABSTRACT. Star STING is the latest version of the STING suite of programs and corresponding database. We report on five important aspects of this package that have acquired some new characteristics, d... ... Repository: BDPA Publication year: 2006
Electrostatic potential calculation for biomolecules - creating a database of pré-calculated values reported on a per residue basis for all PDB protein structures. Author(s): ROCCHIA, W.; NESHICH, G. Abstract. STING and JavaProtein Dossier provide a collection of physical-chemical parameters, describing protein structure, stability, function, and interaction, considered one of the most comprehensi... ... Repository: BDPA Publication year: 2007
Building multiple sequence alignments with a flavor of HSSP alignments. Author(s): HIGA, R. H.; CRUZ, S. A. B. da; KUSER, P. R.; YAMAGISHI, M. E. B.; FILETO, R.; OLIVEIRA, S. R. de M.; MAZONI, I.; SANTOS, E. H. dos; MANCINI, A. L.; NESHICH, G. The present study describes the processing used for building SH2QS as well as a comparison of the degree of residue conservation reported by SH2QS and HSSP. The comparison of the profiles from two ali... ... Repository: BDPA Publication year: 2006
GPCRs from fusarium graminearum detection, modeling and virtual screening - the search for new routes to control head blight disease. Author(s): BRESSO, E.; TOGAWA, R.; HAMMOND-KOSACK, K.; URBAN, M.; MAIGRET, B.; MARTINS, N. F. Repository: BDPA Publication year: 2016
BlueStar STING platform for analysis of protein structure / function relationship: designing agrochemicals to fit new protein targets for bacterial, fungal and insect control. Author(s): NESHICH, G. Blue Star STING suite of programs for comprehensive analysis of structure, function and stability of proteins and their complexes, has matured over a decade of development. We will present the in sili... ... Repository: BDPA Publication year: 2012
Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions. Author(s): BORRO, L.; YANO, I. H.; MAZONI, I.; NESHICH, G. 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 ligan... ... Repository: BDPA Publication year: 2016

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