In this work, we propose a radical approach for exploring the space of all possible protein structures. We present techniques to explore the clash-free conformation space, which comprises all protein structures whose atoms are not in self-collision. Unlike energy based methods, this approach allows efficient exploration and remains general -- the benefits of characterization of the space apply to all proteins. We hypothesize that this conformation space branches into many small funnels as we sample compact conformations. We develop a compact representation the conformation space, and give experimental results that support our hypothesis. Potential applications of our method include protein folding as well as observing structural relationshi...
In this paper we describe a novel strategy for exploring the conformational space of proteins and sh...
Exploration In this paper we propose a robotics-inspired method to enhance sampling of native-like c...
This thesis presents an amalgamation of high performance computing techniques to get better insight ...
Proteins are essential molecules in living organisms that perform a broad scope of functionalities, ...
Proteins are essential molecules in living organisms that perform a broad scope of functionalities, ...
We probe the stability and near-native energy landscape of protein fold space using powerful conform...
We probe the stability and near-native energy landscape of protein fold space using powerful conform...
Growing databases of protein sequences in the post-genomic era call for computational methods to ext...
It is currently believed that the atlas of existing protein structures is faithfully represented in ...
It is currently believed that the atlas of existing protein structures is faithfully represented in ...
It is currently believed that the atlas of existing protein structures is faithfully represented in ...
Computational studies have given a great contribution in building our current understanding of the c...
Proteins are biological macromolecules that are involved in a wide range of cellular processes. The ...
The size and origin of the protein fold universe is of fundamental and practical importance. Analyzi...
Graduation date:2017Life on Earth intimately depends on the function of countless proteins. For the ...
In this paper we describe a novel strategy for exploring the conformational space of proteins and sh...
Exploration In this paper we propose a robotics-inspired method to enhance sampling of native-like c...
This thesis presents an amalgamation of high performance computing techniques to get better insight ...
Proteins are essential molecules in living organisms that perform a broad scope of functionalities, ...
Proteins are essential molecules in living organisms that perform a broad scope of functionalities, ...
We probe the stability and near-native energy landscape of protein fold space using powerful conform...
We probe the stability and near-native energy landscape of protein fold space using powerful conform...
Growing databases of protein sequences in the post-genomic era call for computational methods to ext...
It is currently believed that the atlas of existing protein structures is faithfully represented in ...
It is currently believed that the atlas of existing protein structures is faithfully represented in ...
It is currently believed that the atlas of existing protein structures is faithfully represented in ...
Computational studies have given a great contribution in building our current understanding of the c...
Proteins are biological macromolecules that are involved in a wide range of cellular processes. The ...
The size and origin of the protein fold universe is of fundamental and practical importance. Analyzi...
Graduation date:2017Life on Earth intimately depends on the function of countless proteins. For the ...
In this paper we describe a novel strategy for exploring the conformational space of proteins and sh...
Exploration In this paper we propose a robotics-inspired method to enhance sampling of native-like c...
This thesis presents an amalgamation of high performance computing techniques to get better insight ...