Summary. — Optimization methods are a powerful tool in protein structure anal-ysis. In this paper we show that they can be profitably used to solve relevant problems in drug design such as the comparison and recognition of protein binding sites and the protein-peptide docking. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site whereas the search for correct protein-peptide docking is often based on the minimization of an interaction energy model. We show that continuous global optimization methods can be used to solve the above problems and show some computational results. PACS 02.70.-c – Computational techniques; simulations. PACS 02.60.Pn – Numerical optimization. PACS 87.1...
We developed a combinatorial search algorithm which we call best profile search for the global optim...
The design of proteinsthat bind to a specific site on the surface of a target protein using no infor...
Thesis (Ph.D.)--Boston UniversityThis thesis develops efficient algorithms for local optimization pr...
Abstract Molecular docking programs play a crucial role in drug design and develop-ment. In recent y...
Molecular docking programs play a crucial role in drug design and development. In recent years, much...
Abstract Background A relevant problem in drug design is the comparison and recognition of protein b...
Motivation: Computer modeling of protein-ligand interactions is one of the most important phases in ...
We have developed a novel computational approach to functional de novo protein design using gradient...
Abstract. We present an integrative approach for the optimization in the design of peptides which ar...
Abstract. We present an integrative approach for the optimization in the design of peptides which ar...
Protein-docking is a molecular modeling problem which aims to predict, with computer science algorit...
In this study we examine the possibility of using evolutionary optimization algorithms in protein-pe...
Computational Protein Docking (CPD) is defined as determining the stable complex of docked proteins ...
Molecular docking is a computational approach for predicting the most probable position of ligands i...
International audienceIn this paper, we present a molecular docking method to predict the optimal bi...
We developed a combinatorial search algorithm which we call best profile search for the global optim...
The design of proteinsthat bind to a specific site on the surface of a target protein using no infor...
Thesis (Ph.D.)--Boston UniversityThis thesis develops efficient algorithms for local optimization pr...
Abstract Molecular docking programs play a crucial role in drug design and develop-ment. In recent y...
Molecular docking programs play a crucial role in drug design and development. In recent years, much...
Abstract Background A relevant problem in drug design is the comparison and recognition of protein b...
Motivation: Computer modeling of protein-ligand interactions is one of the most important phases in ...
We have developed a novel computational approach to functional de novo protein design using gradient...
Abstract. We present an integrative approach for the optimization in the design of peptides which ar...
Abstract. We present an integrative approach for the optimization in the design of peptides which ar...
Protein-docking is a molecular modeling problem which aims to predict, with computer science algorit...
In this study we examine the possibility of using evolutionary optimization algorithms in protein-pe...
Computational Protein Docking (CPD) is defined as determining the stable complex of docked proteins ...
Molecular docking is a computational approach for predicting the most probable position of ligands i...
International audienceIn this paper, we present a molecular docking method to predict the optimal bi...
We developed a combinatorial search algorithm which we call best profile search for the global optim...
The design of proteinsthat bind to a specific site on the surface of a target protein using no infor...
Thesis (Ph.D.)--Boston UniversityThis thesis develops efficient algorithms for local optimization pr...