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Chemistry Letters, ISSN 0366-7022, 01/2017, Volume 46, Issue 7, p. 979
Helical intermediates play important roles in the aggregation process of amyloid proteins. Herein, constrained helices were synthesized to mimic different... 
Helices | Agglomeration
Journal Article
New Journal of Chemistry, ISSN 1144-0546, 01/2019, Volume 43, Issue 2, p. 556
α-Helix proteomimetics such as oligobenzamides have been shown to successfully inhibit a broad array of protein–protein interactions (PPIs) mediated by... 
Proteins | Helices | Alkylation
Journal Article
Journal of Geometry, ISSN 0047-2468, 12/2017, Volume 108, Issue 3, pp. 913 - 924
To access, purchase, authenticate, or subscribe to the full-text of this article, please visit this link: http://dx.doi.org/10.1007/s00022-017-0385-z In the... 
Curvature | Helices
Journal Article
Protein Science, ISSN 0961-8368, 12/2002, Volume 11, Issue 12, pp. 2774 - 2791
Methods that predict membrane helices have become increasingly useful in the context of analyzing entire proteomes, as well as in everyday sequence analysis.... 
acetyl‐amino‐acid amides (Fauchere and Pliska 1983) | Av‐Cid, normalized average hydrophobicity scale (Cid 1992) | PSI‐BLAST, position‐specific iterated database search (Altschul et al. 1997) | TrEMBL, translation of the EMBL‐nucleotide database coding DNA to protein sequences (Bairoch and Apweiler 2000) | TopPred2, hydrophobicity‐based membrane helix prediction (von Heijne 1992; Cserzö et al. 1997) | BIG, nonidentical merger of SWISS‐PROT (Bairoch and Apweiler 2000) and TrEMBL (Bairoch and Apweiler 2000) and PDB (Berman et al. 2000) | PHDhtm, profile‐based neural network prediction of transmembrane helices (Rost 1996; Rost et al. 1996b) | Eisenberg, normalized consensus hydrophobicity scale (Eisenberg et al. 1984) | TM, transmembrane | MEMSAT, dynamic‐programming based prediction of transmembrane helices (Jones et al. 1994) | PDB, Protein Data Bank of experimentally determined 3D structures of proteins (Bernstein et al. 1977; Berman et al. 2000) | A‐Cid, normalized hydrophobicity scale for α‐proteins (Cid 1992) | GES, hydrophobicity property (Engelman et al. 1986; Prabhakaran 1990) | MaxHom, dynamic programming algorithm for conservation weight‐based multiple sequence alignment (Sander and Schneider 1991) | EM, Solvation free energy (Eisenberg and McLachlan 1986) | bioinformatics | SignalP, signal peptide prediction (Nielsen et al. 1997a) | Ben‐Tal, hydrophobicity scale representing the free energy of transferring an amino acid from water into the center of the hydrocarbon region of a lipid bilayer (Kessel and Ben‐Tal 2002) | TMHMM, transmembrane prediction using cyclic hidden Markov models (Sonnhammer et al. 1998; Krogh et al. 2001) | computational biology | Roseman, solvation‐corrected side‐chain hydropathy (Roseman 1988) | KD, Kyte–Doolittle hydropathy index (Kyte and Doolittle 1982) | PHDpsihtm, divergent profile (PSI‐BLAST)‐based neural network prediction 2002 | Radzicka, transfer free energy from 1‐octanol to water (Radzicka and Wolfenden 1988) | Sweet, optimal matching hydrophobicity (Sweet and Eisenberg 1983) | HMM, hidden Markov model | Fauchere, hydrophobic parameter π from the partitioning of | SWISS‐PROT, database of protein sequences (Bairoch and Apweiler 2000) | TMAP, alignment‐based prediction of transmembrane helices (Persson and Argos 1996) | Wolfenden, hydration potential (Wolfenden et al. 1981) | BLAST, fast sequence alignment method (Altschul and Gish 1996) | Levitt, hydrophobic parameter (Levitt 1976) | multiple alignments, predicting transmembrane helices | proteomes | Lawson, transfer free energy (Lawson et al. 1984) | WW, Wimley–White hydrophobicity scale‐based method (Wimley et al. 1996a,b; White and Wimley 1999; White 2001) | Nakashima, normalized composition of membrane proteins (Nakashima et al. 1990) | SOSUI, hydrophobicity‐ and amphiphilicity‐based transmembrane helix prediction (Hirokawa et al. 1998) | Bull‐Breese, Bull‐Breese hydrophobicity scale (Bull 1974) | SPLIT, transmembrane helix prediction (Juretic et al. 1998) | EVA, server automatically evaluating structure prediction methods (Eyrich et al. 2001a,b) | comparing genomes | TMpred, prediction of transmembrane helices (Hofmann and Stoffel 1993) | Heijne, transfer free energy to lipophilic phase (von Heijne and Blomberg 1979) | TMH, transmembrane helix | HMMTOP, hidden Markov model predicting transmembrane helices (Tusnady and Simon 1998) | Sequence analysis | protein structure prediction | DSSP, program assigning secondary structure (Kabsch and Sander 1983) | META‐PP, internet service allowing access to a variety of bioinformatics tools through one single interface (Eyrich and Rost 2000) | Hopp‐Woods, Hopp‐Woods hydrophilicity value (Hopp and Woods 1981) | Protein structure prediction | Multiple alignments, predicting transmembrane helices | Proteomes | Bioinformatics | Comparing genomes | Computational biology | PROTEIN SECONDARY STRUCTURE | predicting transmembrane helices | BIOCHEMISTRY & MOLECULAR BIOLOGY | ESCHERICHIA-COLI | multiple alignments | ACID SIDE-CHAINS | TOPOLOGY PREDICTION | INTEGRAL MEMBRANE-PROTEINS | BACTERIAL OUTER-MEMBRANE | SARCOPLASMIC-RETICULUM CA2+-ATPASE | STRUCTURAL CLASSIFICATION | sequence analysis | C-TERMINAL DOMAIN | MITOCHONDRIAL PROTEINS | Computational Biology - methods | Algorithms | Animals | Membrane Proteins - chemistry | Protein Structure, Secondary | Sensitivity and Specificity | Models, Molecular | Software | Protein Folding
Journal Article
Reviews of Modern Physics, ISSN 0034-6861, 08/2007, Volume 79, Issue 3, pp. 943 - 996
Helices are essential building blocks of living organisms, be they molecular fragments of proteins (alpha-helices), macromolecules (DNA and collagen), or... 
COLLAGEN TRIPLE HELICES | GUANOSINE 4-STRANDED HELICES | PHYSICS, MULTIDISCIPLINARY | DIVALENT METAL-IONS | CYLINDRICAL POLY-ELECTROLYTE | DNA DOUBLE HELICES | X-RAY-DIFFRACTION | STABILIZED COLLOIDAL SUSPENSIONS | CHOLESTERIC LIQUID-CRYSTALS | DOUBLE-STRANDED DNA | POISSON-BOLTZMANN EQUATION | Recombinant DNA | Research | Structure | Helicases
Journal Article
Biochimie, ISSN 0300-9084, 12/2019, Volume 167, pp. 93 - 105
In this study, we tested the possibility of creating complexes of two proteins by fusing them with heterodimerizing helices. We used the fluorescent proteins... 
Heterodimerizing helices | Quantum dots | Nanohybrids
Journal Article
Chemical Communications : Chem Comm, ISSN 1359-7345, 01/2019, Volume 55, Issue 15, pp. 2162 - 2165
A multi-configurable catalyst, for which the degree of enantioinduction in successive reactions is varied between 6% ee and 52% ee, is achieved by supporting... 
Catalysts | Helices | Selectivity | Catalysis | Enantiomers
Journal Article
PloS one, ISSN 1932-6203, 2015, Volume 10, Issue 9, p. e0139525
Journal Article
Optics Express, ISSN 1094-4087, 06/2017, Volume 25, Issue 13, pp. 14260 - 14269
Modern imaging and spectroscopy systems require to implement diverse functionalities with thin thickness and wide wavelength ranges. In order to meet this... 
FABRICATION | NANOSTRUCTURES | CHIRAL METAMATERIALS | OPTICS | PLASMONIC HELICES
Journal Article
Chemical Communications : Chem Comm, ISSN 1359-7345, 01/2019, Volume 55, Issue 21, pp. 3061 - 3064
Enantiodiscriminative helix formation was observed for β-peptide H14 helices. This observation is caused by the synperiplanar orientation of H–O atoms which is... 
Backbone | Organic chemistry | Peptides | Helices | Chemical synthesis
Journal Article
Advanced Materials, ISSN 0935-9648, 11/2016, Volume 28, Issue 44, pp. 9783 - 9791
SnIP is the first atomic‐scale double helical semiconductor featuring a 1.86 eV bandgap, high structural and mechanical flexibility, and reasonable thermal... 
photoluminescence | nanorods | semiconductor | double helices | quantum‐confinement | quantum-confinement | Photoluminescence | Semiconductors | Accessibility | Helices | Flexibility | Nanorods | Thermal stability | Energy gaps (solid state)
Journal Article
Current HIV Research, ISSN 1570-162X, 09/2017, Volume 15, Issue 5, pp. 327 - 335
Introduction: With advances in proteomics, it is essential to investigate the molecular-level participation of IL27 and gp130 to hinder HIV infection. Their... 
MD simulation | Solvent accessibility | Human IL27-gp130 complex | Energy calculation | 3-ten helices with α-helices and biostatistics | Mutation | Protein-protein interactions | INFECTIOUS DISEASES | ENERGY | human IL27-gp130 complex | RECOGNITION | PROTEIN-STRUCTURE | DOCKING | energy calculation | IMMUNOLOGY | INSIGHT | protein-protein interactions | PREDICTION | mutation | VIROLOGY | MODELS | WEB | solvent accessibility | 3-ten helices with alpha-helices and biostatistics | HIV Infections - virology | Humans | Mutant Proteins - genetics | Mutant Proteins - metabolism | env Gene Products, Human Immunodeficiency Virus - metabolism | Interleukins - metabolism | Molecular Dynamics Simulation | Protein Interaction Maps | HIV Infections - immunology | Interleukins - genetics | Thermodynamics | Mutant Proteins - chemistry | Protein Binding | Interleukins - chemistry | env Gene Products, Human Immunodeficiency Virus - chemistry | Residues | Molecular dynamics | Helices | Infections | Drug delivery | Interleukin 27 | Strong interactions (field theory) | Electrostatic shielding | Human immunodeficiency virus--HIV | Mathematical models | Glycoprotein gp130 | Binding | Tyrosine | Parameters | Computer simulation | Exploration | Stability analysis | Peptide inhibitors | Electrostatic properties | Statistics | Signaling | Molecular modelling | Proteomics | Dynamic stability | Drug discovery | Ionic interactions | Structural analysis | Apoptosis
Journal Article
1990, London Mathematical Society lecture note series, ISBN 9780521388115, Volume 148, 143
This volume is devoted to the use of helices as a method for studying exceptional vector bundles, an important and natural concept in algebraic geometry. The... 
Vector bundles | Helices (Algebraic topology)
Book
16.