The ability of proteins to fold into well-defined structures forms the basis of a wide variety of biochemical functions in and out of the cell membrane. Many of these processes, however, operate at time- and length-scales that are currently unattainable by all-atom computer simulations. To cope with this difficulty, increasingly more accurate and sophisticated coarse-grained models are currently being developed. In the present thesis, we introduce a solvent-free coarse-grained model for proteins. Proteins are modeled by four beads per amino acid, providing enough backbone resolution to allow for accurate sampling of local conformations. It relies on simple interactions that emphasize structure, such as hydrogen bonds and hydrophobicity. Rea...
The investigation of protein folding and its ramifications in biological contexts is at the heart o...
Folding dynamics and energy landscape picture of protein conformations of HP-36 and \beta -amyloid $...
Abstract: Many biologically interesting phenomena occur on a time scale that is too long to be studi...
Theoretical prediction of protein structures and dynamics is essential for understanding the molecul...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Understanding the intrinsic properties of proteins to form structural motives such as α-helices and ...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
[[abstract]]A coarse-grained off-lattice model that is not biased in any way to the native state is ...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Abstract. Folding dynamics and energy landscape picture of protein conformations of HP-36 and b-amyl...
We explore the applicability of a single-bead coarse-grained molecular model to describe the competi...
The investigation of protein folding and its ramifications in biological contexts is at the heart o...
ABSTRACT: We present a generic solvated coarse-grained protein model that can be used to characteriz...
The investigation of protein folding and its ramifications in biological contexts is at the heart o...
Folding dynamics and energy landscape picture of protein conformations of HP-36 and \beta -amyloid $...
Abstract: Many biologically interesting phenomena occur on a time scale that is too long to be studi...
Theoretical prediction of protein structures and dynamics is essential for understanding the molecul...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Understanding the intrinsic properties of proteins to form structural motives such as α-helices and ...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
[[abstract]]A coarse-grained off-lattice model that is not biased in any way to the native state is ...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Many biologically interesting phenomena occur on a time scale that is too long to be studied by atom...
Abstract. Folding dynamics and energy landscape picture of protein conformations of HP-36 and b-amyl...
We explore the applicability of a single-bead coarse-grained molecular model to describe the competi...
The investigation of protein folding and its ramifications in biological contexts is at the heart o...
ABSTRACT: We present a generic solvated coarse-grained protein model that can be used to characteriz...
The investigation of protein folding and its ramifications in biological contexts is at the heart o...
Folding dynamics and energy landscape picture of protein conformations of HP-36 and \beta -amyloid $...
Abstract: Many biologically interesting phenomena occur on a time scale that is too long to be studi...