Reconstruction and thermal stability of the cubic SiC(001) surfaces

The (001) surfaces of cubic SiC were investigated with ab-initio molecular dynamics simulations. We show that C-terminated surfaces can have different c(2x2) and p(2x1) reconstructions, depending on preparation conditions and thermal treatment, and we suggest experimental probes to identify the various reconstructed geometries. Furthermore we show that Si-terminated surfaces exhibit a p(2x1) reconstruction at T=0, whereas above room temperature they oscillate between a dimer row and an ideal geometry below 500 K, and sample several patterns including a c(4x2) above 500 K.Comment: 12 pages, RevTeX, figures 1 and 2 available in gif form at http://irrmawww.epfl.ch/fg/sic/fig1.gif and http://irrmawww.epfl.ch/fg/sic/fig2.gi

Electron scattering from molecules and molecular aggregates of biological relevance

In this Topical Review we survey the current state of the art in the study of low energy electron collisions with biologically relevant molecules and molecular clusters. We briefly describe the methods and techniques used in the investigation of these processes and summarise the results obtained so far for DNA constituents and their model compounds, amino acids, peptides and other biomolecules. The applications of the data obtained is briefly described as well as future required developments

HIV-1 integrase inhibition: Binding sites, structure activity relationships and future perspectives

The integrase enzyme encoded by the human immunodeficiency virus plays an integral role in the viral life cycle, but is as yet unexploited as a clinical drug target. Integrase processes the viral DNA in the cytoplasm, translocates to the nucleus, and catalyzes viral DNA insertion into the host genome. A wide variety of chemical structures inhibit integrase in vitro, yet few of these apparently promising compounds have demonstrated similar efficacy in vivo. Multiple binding targets have been identified for different integrase inhibitors. These targets include the integrase enzyme prior to substrate binding, the viral DNA substrate, and the preintegration complex consisting of oligomeric integrase and the viral DNA. Some known inhibitors are effective only in the presence of divalent manganese as the active site metal ion cofactor, whereas others do not discriminate between manganese and magnesium ions. Integrase inhibition in response to ligand binding at one of multiple sites renders derivation of a simple set of structure activity relationships challenging. Progress toward this goal is reviewed in the context of experimental and theoretical structural information about integrase

Structural characteristics of lysophosphatidic acid biological targets

Lysophosphatidic acid (LPA; 1-acyl-3-phosphoglycerol) exerts its biological activity through both extracellular and intracellular targets. Receptor targets include the cell-surface G-protein-coupled receptors LPA1-4 and the nuclear PPAR-γ (peroxisome-proliferator-activated receptor γ). Enzyme targets include the secreted cancer cell motility factor, autotaxin, and the transmembrane phosphatases, LPP1-3 (where LPP stands for lipid phosphate phosphatase). Ion channel targets include the two pore domain ion channels in the TREK family, TREK-1, TREK-2 and TRAAK. Structural features of these targets and their interactions with LPA are reviewed. ©2005 Biochemical Society

QSAR development to describe HIV-1 integrase inhibition

HIV-1 integrase(IN) is one of three viral enzymes required for replication. IN mediates integration of viral DNA into the host genome in two steps: 3\u27-processing and strand transfer. It is currently recognized as an important target for therapeutic development against AIDS. QSAR (Quantitative Structure-Activity Relationship) modeling was utilized to study HIV-1 integrase inhibition. QSAR models were constructed to predict the IC50 values for the two structural classes (salicyhydrazines and tyrphostins) independently and in combination. The results showed that the models for different structural classes have different dependence on the same descriptors. It suggests that salicylhydrazines and tyrphostins might have different binding sites in HIV-1 integrase. (C) 2000 Elsevier Science B.V

Structure-based pharmacophore modeling 1. Automated random pharmacophore model generation

Pharmacophores are three-dimensional arrangements of molecular features required for biological activity that are often used in virtual screening efforts to prioritize ligands for experimental testing. G protein-coupled receptors (GPCR) are integral membrane proteins of considerable interest as targets for ligand discovery and drug development. Ligand-based pharmacophore models can be constructed to identify structural commonalities between known bioactive ligands for targets including GPCR. However, structure-based pharmacophores (which only require an experimentally determined or modeled structure for a protein target) have gained more attention to aid in virtual screening efforts as the number of publicly available experimentally determined GPCR structures have increased (140 unique GPCR represented as of October 24, 2022). Thus, the goal of this study was to develop a method of structure-based pharmacophore model generation applicable to ligand discovery for GPCR that have few known ligands. Pharmacophore models were generated within the active sites of 8 class A GPCR crystal structures via automated annotation of 5 randomly selected functional group fragments to sample diverse combinations of pharmacophore features. Each of the 5000 generated pharmacophores was then used to search a database containing active and decoy/inactive compounds for 30 class A GPCR and scored using enrichment factor and goodness-of-hit metrics to assess performance. Application of this method to the set of 8 class A GPCR produced pharmacophore models possessing the theoretical maximum enrichment factor value in both resolved structures (8 of 8 cases) and homology models (7 of 8 cases), indicating that generated pharmacophore models can prove useful in the context of virtual screening