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Computational Biology Tools for Identifying Specific Ligand Binding Residues for Novel Agrochemical and Drug Design

Universidade Estadual de Campinas (UNICAMP); Universidade de São Paulo (USP); Universidade Estadual Paulista (Unesp); Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) (Bentham Science Publ Ltd, 2015-01-01)

The term agrochemicals is used in its generic form to represent a spectrum of pesticides, such as insecticides, fungicides or bactericides. They contain active components designed for optimized pest management and control, ...

Computational biology tools for identifying specific ligand binding residues for novel agrochemical and drug design

Universidade Estadual de Campinas (UNICAMP); Universidade de São Paulo (USP); Universidade Estadual Paulista (Unesp); Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) (2015-01-01)

The term “agrochemicals” is used in its generic form to represent a spectrum of pesticides, such as insecticides, fungicides or bactericides. They contain active components designed for optimized pest management and control, ...

Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions.

BORRO, L. C.; SALIM, J. A.; MAZONI, I.; YANO, I.; JARDINE, J. G.; NESHICH, G. (2015)

Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions.

BORRO, L.; YANO, I. H.; MAZONI, I.; NESHICH, G. (2016)

Revelando as características do nano-ambiente das interfaces entre proteinasCharacteristics of protein interface nano-environment revealed

Moraes, Fábio Rogério de, 1984- ([s.n.], 2012)

How protonation modulates the interaction between proteins and pH-responsive hydrogel films

Longo, Gabriel Sebastian; Pérez Chávez, Néstor Ariel; Szleifer, Igal (Elsevier Science London, 2019-06)

Hydrogels of pH-responsive polymers are promising candidates for the design of functional biomaterials. In this context, understanding the complexity of the interaction between these materials and proteins is essential. A ...

Improving Predictions of Protein-Protein Interfaces by Combining Amino Acid-Specific Classifiers Based on Structural and Physicochemical Descriptors with Their Weighted Neighbor Averages

de Moraes, FR; Neshich, IAP; Mazoni, I; Yano, IH; Pereira, JGC; Salim, JA; Jardine, JG; Neshich, G (Public Library ScienceSan FranciscoEUA, 2014)

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Computational Biology Tools for Identifying Specific Ligand Binding Residues for Novel Agrochemical and Drug Design

Computational biology tools for identifying specific ligand binding residues for novel agrochemical and drug design

Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions.

Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions.

Revelando as características do nano-ambiente das interfaces entre proteinasCharacteristics of protein interface nano-environment revealed

How protonation modulates the interaction between proteins and pH-responsive hydrogel films

Improving Predictions of Protein-Protein Interfaces by Combining Amino Acid-Specific Classifiers Based on Structural and Physicochemical Descriptors with Their Weighted Neighbor Averages

Mapping the lignin distribution in pretreated sugarcane bagasse by confocal and fluorescence lifetime imaging microscopy

Mapping the lignin distribution in pretreated sugarcane bagasse by confocal and fluorescence lifetime imaging microscopy

Mapping the lignin distribution in pretreated sugarcane bagasse by confocal and fluorescence lifetime imaging microscopy

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Computational Biology Tools for Identifying Specific Ligand Binding Residues for Novel Agrochemical and Drug Design

Computational biology tools for identifying specific ligand binding residues for novel agrochemical and drug design

Improving binding affinity prediction by using a rule-based model with physical-chemical and structural descriptors of the nano-environment for protein-ligand interactions.

Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions.

Revelando as características do nano-ambiente das interfaces entre proteinasCharacteristics of protein interface nano-environment revealed

How protonation modulates the interaction between proteins and pH-responsive hydrogel films

Improving Predictions of Protein-Protein Interfaces by Combining Amino Acid-Specific Classifiers Based on Structural and Physicochemical Descriptors with Their Weighted Neighbor Averages

Mapping the lignin distribution in pretreated sugarcane bagasse by confocal and fluorescence lifetime imaging microscopy

Mapping the lignin distribution in pretreated sugarcane bagasse by confocal and fluorescence lifetime imaging microscopy

Mapping the lignin distribution in pretreated sugarcane bagasse by confocal and fluorescence lifetime imaging microscopy