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Biomedical subjects
Publications and source records attributed to Ephraim Katchalski-Katzir.
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Currently used antiestrogenic drugs against hormone-dependent breast cancer, and estrogenic drugs used in treatment of osteoporosis, are associated with risk factors. Therefore, there is a strong need to develop selective estrogen receptor modulators with better tissue selectivity. In a recent study (Peptides, 2002, Vol. 3, 573-580), we used a monoclonal antibody to estradiol (mAb-E2) to screen a phage-display peptide library. We identified a 15-mer peptide (peptide H5) that recognizes mAb-E2 (IC(50) 1 microM) and estrogen receptor (ER)alpha (IC(50) 500 microM) but not ERbeta, and displays estrogen-like activity in vitro and in vivo. In this study, we designed and prepared peptides based on peptide H5, which possess improved estrogenic activity, by evaluating their binding to mAb-E2 and to ERs. Initially, we determined the minimal binding sequence of peptide H5 capable of binding mAb-E2 and ER. Subsequently, systematic single-residue replacements of the minimal sequence, followed by multiple-residue replacements, yielded hexa- and heptapeptides with increased affinities to mAb-E2 and to ER. The most promising peptides, VSWFFE (EMP-1) and VSWFFED (EMP-2) (EMP: estrogen-mimetic peptide), bind mAb-E2 with high affinity (IC(50) of 6 and 30 nM, respectively), recognize ERs with increased affinity (IC(50) of 100 microM for ERalpha, and 100-250 microM for ERbeta), and possess estrogenic activity in vivo. The short peptides described in this study may be used as potential lead compounds for developing new ER ligands.
The activity of a living cell can be portrayed as a network of interactions involving proteins and nucleic acids that transfer biological information. Intervention in cellular processes requires thorough understanding of the interactions between the molecules, which can be provided by docking techniques. Docking methods attempt to predict the structures of complexes given the structures of the component molecules. We focus hereby on protein-protein docking procedures that employ grid representations of the molecules, and use correlation for searching the solution space and evaluating putative complexes. Geometric surface complementarity is the dominant descriptor in docking. Inclusion of electrostatics often improves the results of geometric docking for soluble proteins, whereas hydrophobic complementarity is more important in construction of oligomers. Using binding-site information in the scan or as a filter helps to identify and up-rank nearly correct solutions.
Alpha-bungarotoxin (alpha-BTX) is a highly toxic snake neurotoxin that binds to acetylcholine receptor (AChR) at the neuromuscular junction, and is a potent inhibitor of this receptor. In the following we review multi-phase research of the design, synthesis and structure analysis of peptides that bind alpha-BTX and inhibit its binding to AChR. Structure-based design concomitant with biological information of the alpha-BTX/AChR system yielded 13-mer peptides that bind to alpha-BTX with high affinity and are potent inhibitors of alpha-BTX binding to AChR (IC(50) of 2 nM). X-Ray and NMR spectroscopy reveal that the high-affinity peptides fold into an anti-parallel beta-hairpin structure when bound to alpha-BTX. The structures of the bound peptides and the homologous loop of acetylcholine binding protein, a soluble analog of AChR, are remarkably similar. Their superposition indicates that the toxin wraps around the binding-site loop, and in addition, binds tightly at the interface of two of the receptor subunits and blocks access of acetylcholine to its binding site. The procedure described in this article may serve as a paradigm for obtaining high-affinity peptides in biochemical systems that contain a ligand and a receptor molecule.
Our group has been employing short synthetic peptides, encompassing sequences from the acetylcholine receptor (AChR) alpha-subunit for the analysis of the binding site of the AChR. A 13-mer peptide mimotope, with similar structural motifs to the AChR binding region, was selected by alpha-bungarotoxin (alpha-BTX) from a phage-display peptide library. The solution structure of a complex between this library-lead peptide and alpha-BTX was solved by NMR spectroscopy. On the basis of this NMR study and on structure-function analysis of the AChR binding site, and in order to obtain peptides with higher affinity to alpha-BTX, additional peptides resulting from systematic residue replacement in the lead peptide were designed and characterized. Of these, four peptides, designated high-affinity peptides (HAPs), homologous to the binding region of the AChR, inhibited the binding of alpha-BTX to the AChR with an IC(50) of 2 nM. The solution and crystal structures of complexes of alpha-BTX with HAP were solved, demonstrating that the HAP fits snugly to alpha-BTX and adopts a beta-hairpin conformation. The X-ray structures of the bound HAP and the homologous loop of the acetylcholine binding protein (AChBP) are remarkably similar. Their superposition results in a model indicating that alpha-BTX wraps around the receptor binding-site loop and, in addition, binds tightly at the interface of two of the receptor subunits, where it inserts a finger into the ligand-binding site. Our proposed model explains the strong antagonistic activity of alpha-BTX and accommodates much of the biochemical data on the mode of interaction of alpha-BTX with the AChR.
We describe a novel approach to develop peptides with estrogen like activity using a monoclonal antibody specific to estradiol (mAb E2-15) for the affinity selection of phage displayed peptides from a combinatorial peptide library. Based on the sequences of the selected phage, we synthesized a 15-mer linear peptide LPALDPTKRWFFETK which was derivatized to a 23 mer cyclic peptide CAELPALDPTKRWFFETKPPPPC. Both peptides displayed estrogen-like activity according to the following criteria:(i) in inhibiting the binding of [3H]estradiol to mAb E2-15 and to estrogen receptor (ER)alpha; (ii) in inducing transcriptional activity in MCF7 human breast cancer cells transfected with an estrogen receptor element luciferase construct and (iii) in causing an increase in creatine kinase specific activity in rat tissues in vivo. This approach can be employed to design peptide mimetic for other hormones as well.
A novel geometric-electrostatic docking algorithm is presented, which tests and quantifies the electrostatic complementarity of the molecular surfaces together with the shape complementarity. We represent each molecule to be docked as a grid of complex numbers, storing information regarding the shape of the molecule in the real part and information regarding the electrostatic character of the molecule in the imaginary part. The electrostatic descriptors are derived from the electrostatic potential of the molecule. Thus, the electrostatic character of the molecule is represented as patches of positive, neutral, or negative values. The potential for each molecule is calculated only once and stored as potential spheres adequate for exhaustive rotation/translation scans. The geometric-electrostatic docking algorithm is applied to 17 systems, starting form the structures of the unbound molecules. The results-in terms of the complementarity scores of the nearly correct solutions, their ranking in the lists of sorted solutions, and their statistical uniqueness-are compared with those of geometric docking, showing that the inclusion of electrostatic complementarity in docking is very important, in particular in docking of unbound structures. Based on our results, we formulate several "good electrostatic docking rules": The geometric-electrostatic docking procedure is more successful than geometric docking when the potential patches are large and when the potential extends away from the molecular surface and protrudes into the solvent. In contrast, geometric docking is recommended when the electrostatic potential around the molecules to be docked appears homogeneous, that is, with a similar sign all around the molecule.