Protein and Peptide Letters - Volume 19, Issue 7, 2012

Marine organisms are an immense source of new biologically active compounds. These compounds are unique because the aqueous environment requires a high demand of specific and potent bioactive molecules. Diverse peptides with a wide range of biological activities have been discovered, including antimicrobial, antitumoral, and antiviral activities and toxins amongst others. These proteins have been isolated from different Read More

A lighthearted researcher and a disheartened student discuss the challenges of protein crystallization and how phase diagrams can be used to address these challenges. The student feels a little better afterwards, but many proteins remain uncrystallized.

The aim of this review is to provide biocrystallographers who intend to tackle protein-crystallization with theory and practical examples. Crystallization involves two separate processes, nucleation and growth, which are rarely completely unconnected. Here we give theoretical background and concrete examples illustrating protein crystallization. We describe the nucleation of a new phase, solid or liquid, and the Read More

The outcome of protein crystallization attempts is often uncertain due to inherent features of the protein or to the crystallization process that are not fully under control of the experimentalist. The aim of this contribution is to propose user-friendly tools that can increase the success rate of a protein crytallization project. Different bioinformatic approaches to predict the crystallization feasibility (before any crystallization attem Read More

The limiting step in macromolecular crystallography is the preparation protein crystals suitable for X-ray diffraction studies. A strong prerequisite for the success of crystallization experiments is the ability to produce monodisperse and properly folded protein samples. Since the production of most protein is usually achieved using recombinant methods, it has become possible to engineer target proteins with increased propensi Read More

To start systematically investigating the quality improvement of protein crystals, the elementary growth processes of protein crystals must be first clarified comprehensively. Atomic force microscopy (AFM) has made a tremendous contribution toward elucidating the elementary growth processes of protein crystals and has confirmed that protein crystals grow layer by layer utilizing kinks on steps, as in the case of inorga Read More

Synchrotron Radiation (SR) presents itself as a “play-ground” with a large range of methods and techniques suitable to unveil the mysteries of life. Here we attempt to present a few of these methods that complement those employed in the home laboratory. SR diffraction, spectroscopy and imaging methods relevant to the atomic structure determination and characterization of the properties and function of chemical compo Read More

Macromolecular crystallography has been, for the last few decades, the main source of structural information of biological macromolecular systems and it is one of the most powerful techniques for the analysis of enzyme mechanisms and macromolecular interactions at the atomic level. In addition, it is also an extremely powerful tool for drug design. Recent technological and methodological developments in macromolec Read More

High-throughput crystallisation requires the rapid and accurate dispensing of protein and precipitating agent solutions at nanovolumes, but does not end there. The choice of the initial screens is very important, especially with respect to the availability of protein material. Data from previous crystallisation experiments that are scattered in the literature and only partially available in databases have to be analysed in efficient w Read More

Of many factors affecting protein crystallization, randomness in proteins has been given less attention although highly structured proteins would be at low entropy state. The factors, which impact on protein crystallization, are almost exclusively related to non-random amino acid properties such as physiochemical properties of amino acids. In this study, we used logistic regression and neural network to model the success rate of Read More