Journal of molecular graphics最新文献

While docking methodologies are now frequently being developed, a careful examination of the molecular surface representation, which necessarily is employed by them, is largely overlooked. There are two important aspects here that need to be addressed: how the surface representation quantifies surface complementarity, and whether a minimal representation is employed. Although complementarity is an accepted concept regarding molecular recognition, its quantification for computation is not trivial, and requires verification. A minimal representation is important because docking searches a conformational space whose extent and/ or dimensionality grows quickly with the size of surface representation, making it especially costly with big molecules, imperfect interfaces, and changes of conformation that occur in binding. It is essential for a docking methodology to establish that it employs an accurate, concise molecular surface representation.

Here we employ the face center representation of molecular surface, developed by Lin et al.,¹ to investigate the complementarity of molecular interface. We study a wide variety of complexes: protein/small ligand, oligomeric chain-chain interfaces, proteinase/protein inhibitors, antibody/antigen, NMR structures, and complexes built from unbound, separately solved structures. The complementarity is examined at different levels of reduction, and hence roughness, of the surface representation, from one that describes subatomic details to a very sparse one that captures only the prominent features on the surface. Our simulation of molecular recognition indicates that in all cases, quality interface complementarity is obtained. We show that the representation is powerful in monitoring the complementarity either in its entirety, or in selected subsets that maintain a fraction of the face centers, and is capable of supporting molecular docking at high fidelity and efficiency. Furthermore, we also demonstrate that the presence of explicit hydrogens in molecular structures may not benefit docking, and that the different classes of protein complexes and may hold slightly different degrees of interface complementarity.

The tensor fields of pressure strain imposed on protein molecules have been visualized by computer graphics and computational geometry. The pressure-induced deformations of lysozyme and myoglobin were analyzed by the present method, which regards each molecule as a patchwork of microscopic continuous bodies of Delaunay tetrahedra. The strain tensor describes the deformation of each tetrahedron. The illustrated deformations turned out to be complex and inhomogeneous ones in which local expansions and contractions concomitantly occurred. Not only the pressure deformation but also any other type of moderate deformation can be analyzed by this method.

An approach to exploiting pharmacophore models is described. Structures are assembled combinatorially from user-defined fragments and flexibly overlaid into the reference frame of the pharmacophore using distance geometry and molecular mechanics. The match with the pharmacophore is quantified by conformational energy and volume of overlap.

A desktop PC-based graphics package, UNIVIS, for visualization of three-dimensional numerical data is described. Apart from routine molecular model visualization, the package provides for a host of other features such as extraction of various surfaces, planar cross-sections of the three-dimensional data, and property texturing. Fast rendering and transparency are the strengths of the present package. These features are comprehensively discussed. The salient features of UNIVIS are presented in the form of visualization of a variety of molecular properties, which are of immense importance in understanding molecular structure and reactivity patterns.

VMD is a molecular graphics program designed for the display and analysis of molecular assemblies, in particular biopolymers such as proteins and nucleic acids. VMD can simultaneously display any number of structures using a wide variety of rendering styles and coloring methods. Molecules are displayed as one or more “representations,” in which each representation embodies a particular rendering method and coloring scheme for a selected subset of atoms. The atoms displayed in each representation are chosen using an extensive atom selection syntax, which includes Boolean operators and regular expressions. VMD provides a complete graphical user interface for program control, as well as a text interface using the Tcl embeddable parser to allow for complex scripts with variable substitution, control loops, and function calls. Full session logging is supported, which produces a VMD command script for later playback. High-resolution raster images of displayed molecules may be produced by generating input scripts for use by a number of photorealistic image-rendering applications. VMD has also been expressly designed with the ability to animate molecular dynamics (MD) simulation trajectories, imported either from files or from a direct connection to a running MD simulation. VMD is the visualization component of MDScope, a set of tools for interactive problem solving in structural biology, which also includes the parallel MD program NAMD, and the MDCOMM software used to connect the visualization and simulation programs. VMD is written in C++, using an object-oriented design; the program, including source code and extensive documentation, is freely available via anonymous ftp and through the World Wide Web.

Base stacking is one of the primary factors stabilizing nucleic acid structure. Yet, methods for locating stacking interactions in DNA and RNA are rare and methods for displaying stacking are rarer still. We present here simple, automated procedures to search nucleic acid molecules for base-base and base-oxygen stacking and to display these interactions graphically in a manner that readily conveys both the location and the quality of the interaction. The method makes no a priori assumptions about relative base positions when searching for stacking, nor does it rely on empirical energy functions. This is a distinct advantage for two reasons. First, the relative contributions of the forces stabilizing stacked bases are unknown. Second, the electrostatic and hydrophobic components of base stacking are both poorly defined by existing potential energy functions.

MD Display was developed as a means of visualizing molecular dynamic trajectories generated by Amber.¹ The program runs on Silicon Graphics workstations, and features a simple user interface, and convenient display and analysis options. The program has now been extended to accept input from several other molecular dynamics programs.