Proteins are chains of simple molecules called amino acids. The three-dimensional shape of a protein and its amino acid composition define its biological function. Over millions of years, living organisms have evolved a large catalog of proteins. By exploring the space of possible amino acid sequences, protein engineering aims at similarly designing… (More)
MOTIVATION The main challenge for structure-based computational protein design (CPD) remains the combinatorial nature of the search space. Even in its simplest fixed-backbone formulation, CPD encompasses a computationally difficult NP-hard problem that prevents the exact exploration of complex systems defining large sequence-conformation spaces. RESULTS… (More)
This paper builds on the combination of robotic path planning algorithms and molecular modeling methods for computing large-amplitude molecular motions, and introduces voxel maps as a computational tool to encode and to represent such motions. We investigate several applications and show results that illustrate the interest of such representation.
Proteins are chains of simple molecules called amino acids. The three-dimensional shape of a protein and its amino acid composition define its biological function. Over millions of years, living organisms have evolved and produced a large catalog of proteins. By exploring the space of possible amino-acid sequences, protein engineering aims at similarly… (More)
Large-scale conformational rearrangement of a lid subdomain is a key event in the interfacial activation of many lipases. We present herein a study in which the large-scale "open-to-closed" movement of Burkholderia cepacia lipase lid has been simulated at the atomic level using a hybrid computational method. The two-stage approach combines path-planning… (More)
One of the main challenges in computational protein design (CPD) is the huge size of the protein sequence and conformational space that has to be computationally explored. Recently, we showed that state-of-the-art combinatorial optimization technologies based on Cost Function Network (CFN) processing allow speeding up provable rigid backbone protein design… (More)
Computational Protein Design aims at rationally designing amino-acid sequences that fold into a given three-dimensional structure and that will bestow the designed protein with desirable proper-ties/functions. Usual criteria for design include stability of the designed protein and affinity between it and a ligand of interest. However, estimating the… (More)
The sugar puckering of adenosine and uridine nucleosides with an amino group at 2' in the ribo or arabino orientations are determined using high-level quantum mechanical calculations Only the conformations that have dihedrals compatible with their insertion into a duplex are retained. The amino group has always been found to be pyramidal and its orientation… (More)