SAXS conformational tracking of amylose synthesized by amylosucrases.

Amylose, a linear polymer of α(1,4)-linked glucosyl units and a major constituent of starch granules, can also be enzymatically synthesized in vitro from sucrose by bacterial amylosucrases. Depending on the initial sucrose concentration and the enzyme used, amylose oligomers (or polymers) are formed and self-associate during synthesis into various semicrystalline morphologies. This work describes for the first time a synchrotron SAXS study of the structure in solution of two amylosucrases, namely, NpAS and the thermostable DgAS, under conditions of polymer synthesis and, simultaneously, the amylose conformation. The structure in solution of both amylosucrases during the reaction was shown to be similar to the known crystallographic structures. The conformation of amylose produced at an early stage consists of a mixture of wormlike chains and double helical cylindrical structures. In the case of NpAS, in a second stage, individual double helices pack into clusters before crystallizing and precipitating. Amylose produced by DgAS never self-associates in such clusters due to the higher temperature used for amylose synthesis. All the dimensions determined for wormlike chains and cylindrical conformations at different times of NpAS synthesis are in very good agreement with structural features usually observed on gels of amylose extracted from starch. This provides new insights in understanding the mechanisms of amylose gelation.

A path planning approach for computing large-amplitude motions of flexible molecules.

MOTIVATION: Motion is inherent in molecular interactions. Molecular flexibility must be taken into account in order to develop accurate computational techniques for predicting interactions. Energy-based methods currently used in molecular modeling (i.e. molecular dynamics, Monte Carlo algorithms) are, in practice, only able to compute local motions while accounting for molecular flexibility. However, large-amplitude motions often occur in biological processes. We investigate the application of geometric path planning algorithms to compute such large motions in flexible molecular models. Our purpose is to exploit the efficacy of a geometric conformational search as a filtering stage before subsequent energy refinements. RESULTS: In this paper two kinds of large-amplitude motion are treated: protein loop conformational changes (involving protein backbone flexibility) and ligand trajectories to deep active sites in proteins (involving ligand and protein side-chain flexibility). First studies performed using our two-stage approach (geometric search followed by energy refinements) show that, compared to classical molecular modeling methods, quite similar results can be obtained with a performance gain of several orders of magnitude. Furthermore, our results also indicate that the geometric stage can provide highly valuable information to biologists. AVAILABILITY: The algorithms have been implemented in the general-purpose motion planning software Move3D, developed at LAAS-CNRS. We are currently working on an optimized stand-alone library that will be available to the scientific community.