Local structural differences in homologous proteins: specificities in different SCOP classes.

The constant increase in the number of solved protein structures is of great help in understanding the basic principles behind protein folding and evolution. 3-D structural knowledge is valuable in designing and developing methods for comparison, modelling and prediction of protein structures. These approaches for structure analysis can be directly implicated in studying protein function and for drug design. The backbone of a protein structure favours certain local conformations which include α-helices, ß-strands and turns. Libraries of limited number of local conformations (Structural Alphabets) were developed in the past to obtain a useful categorization of backbone conformation. Protein Block (PB) is one such Structural Alphabet that gave a reasonable structure approximation of 0.42 Å. In this study, we use PB description of local structures to analyse conformations that are preferred sites for structural variations and insertions, among group of related folds. This knowledge can be utilized in improving tools for structure comparison that work by analysing local structure similarities. Conformational differences between homologous proteins are known to occur often in the regions comprising turns and loops. Interestingly, these differences are found to have specific preferences depending upon the structural classes of proteins. Such class-specific preferences are mainly seen in the all-ß class with changes involving short helical conformations and hairpin turns. A test carried out on a benchmark dataset also indicates that the use of knowledge on the class specific variations can improve the performance of a PB based structure comparison approach. The preference for the indel sites also seem to be confined to a few backbone conformations involving ß-turns and helix C-caps. These are mainly associated with short loops joining the regular secondary structures that mediate a reversal in the chain direction. Rare ß-turns of type I' and II' are also identified as preferred sites for insertions.

A short survey on protein blocks.

Protein structures are classically described in terms of secondary structures. Even if the regular secondary structures have relevant physical meaning, their recognition from atomic coordinates has some important limitations such as uncertainties in the assignment of boundaries of helical and ß-strand regions. Further, on an average about 50% of all residues are assigned to an irregular state, i.e., the coil. Thus different research teams have focused on abstracting conformation of protein backbone in the localized short stretches. Using different geometric measures, local stretches in protein structures are clustered in a chosen number of states. A prototype representative of the local structures in each cluster is generally defined. These libraries of local structures prototypes are named as "structural alphabets". We have developed a structural alphabet, named Protein Blocks, not only to approximate the protein structure, but also to predict them from sequence. Since its development, we and other teams have explored numerous new research fields using this structural alphabet. We review here some of the most interesting applications.

Potential and limits of in silico target discovery - Case study of the search for new antimalarial chemotherapeutic targets.

In medical sciences, a target is a broad concept to qualify a biological entity and/or a biological phenomenon, on which one aims to act as part of a therapy. It follows that a target can be defined as a phenotype, a biological process, a subcellular organelle, a protein or a protein domain. It also follows that a target cannot be defined independently of the type of intervention one considers implementing. In this brief review, we describe how in silico organization of genomic and post-genomic information of all partners involved in malaria (human patient, Plasmodium parasite and Anopheles vector), complying with knowledge of the disease in etiologic terms, appears as an efficient source of information not only to help selecting but also discarding target candidates. Some limitations in our capacity to explore the stored biological information, due to the current quality of genomic annotation, level of database integration, or to the performances of existing analytic and mining tools, are discussed. In silico strategies to assess the feasibility of bringing a target to a therapeutic development pipeline, in terms of target "druggability", are introduced.

New insights of membrane environment effects on MscL channel mechanics from theoretical approaches.

The prokaryotic mechanosensitive channel of large conductance (MscL) is a remarkable integral membrane protein. During hypo-osmotic shock, it responses to membrane tension through large conformational changes, that lead to an open state of the pore. The structure of the channel from Mycobacterium tuberculosis has been resolved in the closed state. Numerous experiments have attempted to trap the channel in its open state but they did not succeed in obtaining a structure. A gating mechanism has been proposed based on different experimental data but there is no experimental technique available to follow this process in atomic details. In addition, it has been shown that a decrease of the lipid bilayer thickness lowered MscL activation energy and stabilized a structurally distinct closed channel intermediate. Here, we use atomistic molecular dynamics simulations to investigate the effect of the lipid bilayer thinning on our model of the structure of the Escherichia coli. We thoroughly analyze simulations of the channel embedded in two pre-equilibrated membranes differing by their hydrophobic tail length (DMPE and POPE). The MscL structure remains stable in POPE, whereas a distinct structural state is obtained in DMPE in response to hydrophobic mismatch. This latter is obtained by tilts and kinks of the transmembrane helices, leading to a widening and a diminution of the channel height. Part of these motions is guided by a competition between solvent and lipids for the interaction with the periplasmic loops. We finally conduct a principal component analysis of the simulation and compare anharmonic motions with harmonic ones, previously obtained from a coarse-grained normal mode analysis performed on the same structural model. Significant similarities exist between low-frequency harmonic motions and those observed with essential dynamics in DMPE. In summary, change in membrane thickness permits to accelerate the conformational changes involved in the mechanics of the E. coli channel, providing a closed structural intermediate en route to the open state. These results give clues for better understanding why the channel activation energy is lowered in a thinner membrane.

Assembly of the full-length recombinant mouse prion protein I. Formation of soluble oligomers.

The conversion of a monomeric alpha-helix-rich isoform to multimeric beta-sheet-rich isoforms is a prominent feature of the conversion between PrP(C) and PrP(SC). We mimicked this process in vitro by exposing an unglycosylated recombinant form of the full-length mouse prion protein ((Mo)PrP(23-231)) to an acidic pH, at 37 degrees C, and we monitored the kinetics of conformational change and assembly. In these conditions, monomeric (Mo)PrP(23-231) converts slowly to two ensembles of soluble oligomers that are separated by size exclusion chromatography. The larger oligomers (I) are unstable, and their formation involves almost no change in secondary structure content. The smaller oligomers (II) form stable spherical or annular particles containing between 8 and 15 monomers as determined by multi-angle laser light scattering (MALLS). Their formation is concomitant with the main, thought limited, change in the secondary structure content (10%) seen by Fourier Transform Infrared (FTIR) spectroscopy. Even if these oligomers conserve a large part of the secondary structure of monomeric PrP, they exhibit amyloid features with the appearance of intermolecular beta-structure as revealed by the appearance of an IR band below 1620 cm(-1).

Local backbone structure prediction of proteins.

A statistical analysis of the PDB structures has led us to define a new set of small 3D structural prototypes called Protein Blocks (PBs). This structural alphabet includes 16 PBs, each one is defined by the (phi, psi) dihedral angles of 5 consecutive residues. The amino acid distributions observed in sequence windows encompassing these PBs are used to predict by a Bayesian approach the local 3D structure of proteins from the sole knowledge of their sequences. LocPred is a software which allows the users to submit a protein sequence and performs a prediction in terms of PBs. The prediction results are given both textually and graphically.

Extension of a local backbone description using a structural alphabet: a new approach to the sequence-structure relationship.

Protein Blocks (PBs) comprise a structural alphabet of 16 protein fragments, each 5 Calpha long. They make it possible to approximate and correctly predict local protein three-dimensional (3D) structures. We have selected the 72 most frequent sequences of five PBs, which we call Structural Words (SWs). Analysis of four different protein data banks shows that SWs cover 92% of the amino acids in them and provide a good structural approximation for residues (i.e., sequences) 9 Calpha long. We present most of them in a simple network that describes 90% of the overall residues and, interestingly, includes more than 80% of the amino acids present in coils. Analysis of the network shows the specificity and quality of the 3D descriptions as well as a new type of relation between local folds and amino acid distribution. The results show that the 3D structure of these protein data banks can be easily described by a combination of subgraphs included in the network. Finally, a Bayesian probabilistic approach improved the prediction rate by 4%.