Validated ligand binding sites in CCK receptors. Next step: Computer aided design of novel CCK ligands

Computer-aided drug design becomes an important part of G-protein coupled receptors (GPCR) drug discovery process that is applied for improving the efficiency of derivation and optimization of novel ligands. It represents the combination of methods that-use-structural information of a receptor binding site of known ligands to design new ligands. In this report, we give a brief description of ligand binding sites in cholecystokinin and gastrin receptors (CK1R and CCK2R) which were delineated using experimental and computational methods, and then, we show how the validated ligand binding sites can be used to design and improve novel ligands. The translation of the knowledge of ligand-binding sites of different GPCRs to computer-aided design of novel ligands is summarized.

Secretory leucoprotease inhibitor binds to NF-kappaB binding sites in monocytes and inhibits p65 binding

Secretory leucoprotease inhibitor (SLPI) is a nonglycosylated protein produced by epithelial cells. In addition to its antiprotease activity, SLPI has been shown to exhibit antiinflammatory properties, including down-regulation of tumor necrosis factor alpha expression by lipopolysaccharide (LPS) in macrophages and inhibition of nuclear factor (NF)-kappaB activation in a rat model of acute lung injury. We have previously shown that SLPI can inhibit LPS-induced NF-kappaB activation in monocytic cells by inhibiting degradation of IkappaBalpha without affecting the LPS-induced phosphorylation and ubiquitination of IkappaBalpha. Here, we present evidence to show that upon incubation with peripheral blood monocytes (PBMs) and the U937 monocytic cell line, SLPI enters the cells, becoming rapidly localized to the cytoplasm and nucleus, and affects NF-kappaB activation by binding directly to NF-kappaB binding sites in a site-specific manner. SLPI can also prevent p65 interaction with the NF-kappaB consensus region at concentrations commensurate with the physiological nuclear levels of SLPI and p65. We also demonstrate the presence of SLPI in nuclear fractions of PBMs and alveolar macrophages from individuals with cystic fibrosis and community-acquired pneumonia. Therefore, SLPI inhibition of NF-kappaB activation is mediated, in part, by competitive binding to the NF-kappaB consensus-binding site.

Computational design with flexible backbone sampling for protein remodeling and scaffolding of complex binding sites

Dissertation presented to obtain the Doutoramento (Ph.D.) degree in Biochemistry at the Instituto de Tecnologia Qu mica e Biol ogica da Universidade Nova de Lisboa

Novel Prostate Specific Antigen plastic antibody designed withcharged binding sites for an improved protein binding and itsapplication in a biosensor of potentiometric transduction

This work shows that the synthesis of protein plastic antibodies tailored with selected charged monomersaround the binding site enhances protein binding. These charged receptor sites are placed over a neutralpolymeric matrix, thus inducing a suitable orientation the protein reception to its site. This is confirmed bypreparing control materials with neutral monomers and also with non-imprinted template. This concepthas been applied here to Prostate Specific Antigen (PSA), the protein of choice for screening prostate can-cer throughout the population, with serum levels >10 ng/mL pointing out a high probability of associatedcancer.Protein Imprinted Materials with charged binding sites (C/PIM) have been produced by surfaceimprinting over graphene layers to which the protein was first covalently attached. Vinylben-zyl(trimethylammonium chloride) and vinyl benzoate were introduced as charged monomers labellingthe binding site and were allowed to self-organize around the protein. The subsequent polymerizationwas made by radical polymerization of vinylbenzene. Neutral PIM (N/PIM) prepared without orientedcharges and non imprinted materials (NIM) obtained without template were used as controls.These materials were used to develop simple and inexpensive potentiometric sensor for PSA. Theywere included as ionophores in plasticized PVC membranes, and tested over electrodes of solid or liq-uid conductive contacts, made of conductive carbon over a syringe or of inner reference solution overmicropipette tips. The electrodes with charged monomers showed a more stable and sensitive response,with an average slope of -44.2 mV/decade and a detection limit of 5.8 × 10−11mol/L (2 ng/mL). The cor-responding non-imprinted sensors showed lower sensitivity, with average slopes of -24.8 mV/decade.The best sensors were successfully applied to the analysis of serum, with recoveries ranging from 96.9to 106.1% and relative errors of 6.8%.

The binding site distance test score: a robust method for the assessment of predicted protein binding sites

We propose a novel method for scoring the accuracy of protein binding site predictions – the Binding-site Distance Test (BDT) score. Recently, the Matthews Correlation Coefficient (MCC) has been used to evaluate binding site predictions, both by developers of new methods and by the assessors for the community wide prediction experiment – CASP8. Whilst being a rigorous scoring method, the MCC does not take into account the actual 3D location of the predicted residues from the observed binding site. Thus, an incorrectly predicted site that is nevertheless close to the observed binding site will obtain an identical score to the same number of nonbinding residues predicted at random. The MCC is somewhat affected by the subjectivity of determining observed binding residues and the ambiguity of choosing distance cutoffs. By contrast the BDT method produces continuous scores ranging between 0 and 1, relating to the distance between the predicted and observed residues. Residues predicted close to the binding site will score higher than those more distant, providing a better reflection of the true accuracy of predictions. The CASP8 function predictions were evaluated using both the MCC and BDT methods and the scores were compared. The BDT was found to strongly correlate with the MCC scores whilst also being less susceptible to the subjectivity of defining binding residues. We therefore suggest that this new simple score is a potentially more robust method for future evaluations of protein-ligand binding site predictions.

Interactions of decay-accelerating factor (DAF) with haemagglutinating human enteroviruses: utilizing variation in primate DAF to map virus binding sites

A cellular receptor for the haemagglutinating enteroviruses (HEV), and the protein that mediates haemagglutination, is the membrane complement regulatory protein decay accelerating factor (DAF; CD55). Although primate DAF is highly conserved, significant differences exist to enable cell lines derived from primates to be utilized for the characterization of the DAF binding phenotype of human enteroviruses. Thus, several distinct DAF-binding phenotypes of a selection of HEVs (viz. coxsackievirus A21 and echoviruses 6, 7, 11-13, 29) were identified from binding and infection assays using a panel of primate cells derived from human, orang-utan, African Green monkey and baboon tissues. These studies complement our recent determination of the crystal structure of SCR(34) of human DAF [Williams, P., Chaudhry, Y., Goodfellow, I. G., Billington, J., Powell, R., Spiller, O. B., Evans, D. J. & Lea, S. (2003). J Biol Chem 278, 10691-10696] and have enabled us to better map the regions of DAF with which enteroviruses interact and, in certain cases, predict specific virus-receptor contacts.

In silico identification and characterization of protein-ligand binding sites

Protein–ligand binding site prediction methods aim to predict, from amino acid sequence, protein–ligand interactions, putative ligands, and ligand binding site residues using either sequence information, structural information, or a combination of both. In silico characterization of protein–ligand interactions has become extremely important to help determine a protein’s functionality, as in vivo-based functional elucidation is unable to keep pace with the current growth of sequence databases. Additionally, in vitro biochemical functional elucidation is time-consuming, costly, and may not be feasible for large-scale analysis, such as drug discovery. Thus, in silico prediction of protein–ligand interactions must be utilized to aid in functional elucidation. Here, we briefly discuss protein function prediction, prediction of protein–ligand interactions, the Critical Assessment of Techniques for Protein Structure Prediction (CASP) and the Continuous Automated EvaluatiOn (CAMEO) competitions, along with their role in shaping the field. We also discuss, in detail, our cutting-edge web-server method, FunFOLD for the structurally informed prediction of protein–ligand interactions. Furthermore, we provide a step-by-step guide on using the FunFOLD web server and FunFOLD3 downloadable application, along with some real world examples, where the FunFOLD methods have been used to aid functional elucidation.

Relationship Between Expression of Voltage-Dependent Anion Channel (VDAC) Isoforms and Type of Hexokinase Binding Sites on Brain Mitochondria

Voltage-dependent anion channels (VDAC) are pore-forming proteins found in the outer mitochondrial membrane of eukaryotes. VDACs are known to play an essential role in cellular metabolism and in early stages of apoptosis. In mammals, three VDAC isoforms have been identified. A proteomic approach was exploited to study the expression of VDAC isoforms in rat, bovine, and chicken brain mitochondria. Given the importance of mitochondrially bound hexokinase in regulation of aerobic glycolysis in brain, we studied the possibility that differences in the relative expression of VDAC isoforms may be a factor in determining the species-dependent ratio of type A/type B hexokinase binding sites on brain mitochondria. The spots were characterized, and the signal intensities among spots were compared. VDAC1 was the most abundantly expressed of the three isoforms. Moreover the expression of VDAC1 plus VDAC2 was significantly higher in bovine than in rat brain. Chicken brain mitochondria showed the highest VDAC1 expression and the lowest of VDAC2. Bovine brain mitochondria had the highest VDAC2 levels. We concluded that the nature of hexokinase binding site is not determined by the expression of a single VDAC isoform.

Regulation of Na(+)/H(+) Exchanger Isoform 1 (NHE1) by Calmodulin-binding Sites: Role of Angiotensin II

We examined the effect of Angiotensin II (Ang II) on the interaction between the Ca(2+)/CaM complex and hNHE1. Considering that calmodulin binds to NHE1 at two sites (A and B), amino acids at both sites were modified and two mutants were constructed: SA(1K3R/4E) and SB(1K3R/4E). Wild type and mutants were transfected into PS120 cells and their activity was examined by H(+) flux (J(H+)). The basal J(H+) of wild type was 4.71 +/- 0.57 (mM/min), and it was similar in both mutants. However, the mutations partially impaired the binding of CaM to hNHE1. Ang II (10(-12) and 10(-9) M) increased the J(H+) in wild type and SB. Ang II (10(-6) M) increased this parameter only in SA. Ang II (10(-9) M) maintained the expression of calmodulin in wild type or mutants, and Ang II (10(-6) M) decreased it in wild type or SA, but not in SB. Dimethyl-Bapta-AM (10(-7) M), a calcium chelator, suppressed the effect of Ang II (10(-9) M) in wild type. With Ang II (10(-6) M), Bapta failed to affect wild type or SA, but it increased the J(H+) in SB. W13 or calmidazolium chloride (10(-5) M), two distinct calmodulin inhibitors, decreased the effect of Ang II (10(-9) M) in wild type or SB. With Ang II (10(-6) M), W13 or calmidazolium chloride decreased the J(H+) in wild type or SA and increased it in SB. Thus, with Ang II (10(-12) and 10(-9) M), site A seems to be responsible for the stimulation of hNHE1 and with Ang II (10(-6) M), site B is important to maintain its basal activity. Copyright (C) 2010 S. Karger AG, Basel