The new CCP4 Coordinate Library as a toolkit for the design of coordinate-related applications in protein crystallography.

The new CCP4 Coordinate Library is a development aiming to provide a common layer of coordinate-related functionality to the existing applications in the CCP4 suite, as well as a variety of tools that can simplify the design of new applications where they relate to atomic coordinates. The Library comprises a wide spectrum of useful functions, ranging from parsing coordinate formats and elementary editing operations on the coordinate hierarchy of biomolecules, to high-level functionality such as calculation of secondary structure, interatomic bonds, atomic contacts, symmetry transformations, structure superposition and many others. Most of the functions are available in a C++ object interface; however, a Fortran interface is provided for compatibility with older CCP4 applications. The paper describes the general principles of the Library design and the most important functionality. The Library, together with documentation, is available under the LGPL license from the CCP4 suite version 5.0 and higher.

Ongoing developments in CCP4 for high-throughput structure determination.

Collaborative Computational Project Number 4 (CCP4) was established in 1979 to promote collaboration between UK groups writing software for protein crystallography. From these beginnings, CCP4 now distributes a large software suite and is active in developing new software. In this article, an overview is given of recent and ongoing developments in the CCP4 software suite, in particular as they pertain to high-throughput studies. Developments in individual programs are discussed first, although these are covered in more detail elsewhere. The bulk of the article focuses on the infrastructure of the software suite which allows the user to move effortlessly between different programs or to create automated schemas. Major changes to the software library at the heart of the CCP4 suite, developments in the CCP4 graphical user interface, and data management within CCP4 are discussed. The latter is crucial to high-throughput studies, where a large number of data are imported, created and finally archived.