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Hybrid potentials for large molecular systems |
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1 | (34) |
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1 | (4) |
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5 | (6) |
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11 | (11) |
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Treatment of covalent interactions at the QM/MM interface |
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12 | (6) |
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Including MM polarization |
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18 | (2) |
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20 | (2) |
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22 | (6) |
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Lactate and malate dehydrogenases |
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24 | (1) |
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25 | (1) |
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25 | (1) |
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25 | (1) |
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26 | (1) |
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26 | (1) |
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27 | (1) |
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Aspartylglucosaminidase and triosephosphate isomerase |
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28 | (1) |
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28 | (1) |
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28 | (7) |
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Proton transfer in models biomolecules, S. Scheiner |
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35 | (50) |
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35 | (2) |
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Intrinsic proton transfer properties |
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37 | (3) |
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40 | (8) |
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Hydrogen bond flexibility |
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41 | (4) |
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Asymmetric hydrogen bonds |
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45 | (3) |
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48 | (6) |
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48 | (3) |
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51 | (3) |
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Reversals in relative pKa |
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54 | (3) |
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57 | (8) |
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57 | (4) |
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61 | (1) |
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Polarizable dielectric medium |
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62 | (3) |
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Very strong hydrogen bonds |
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65 | (20) |
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Computational approaches to the studies of the interactions of nucleic acid bases |
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85 | (34) |
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85 | (3) |
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Historical overview of ab initio studies on nucleic acid base pairs |
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88 | (3) |
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91 | (5) |
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Levels of ab initio treatment of base pairs |
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91 | (1) |
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92 | (1) |
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Evaluation of interaction energies |
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93 | (2) |
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Basis set superposition error |
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95 | (1) |
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95 | (1) |
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96 | (17) |
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Structures of H-bonded DNA base pairs |
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96 | (3) |
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Energies of H-bonded DNA base pairs |
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99 | (3) |
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Base stacking interactions |
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102 | (6) |
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Interactions of amino groups of bases |
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108 | (1) |
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Interactions of bases and base pairs with metal cations |
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109 | (4) |
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113 | (6) |
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Nucleic acid bases in solution |
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119 | (48) |
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119 | (7) |
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Computational approaches to solvation |
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126 | (13) |
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128 | (8) |
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136 | (3) |
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The effect of solvent on nucleic acid bases |
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139 | (20) |
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The solvation of nucleic acid bases |
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139 | (2) |
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The effect of solvent on the molecular geometry |
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141 | (4) |
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145 | (5) |
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150 | (5) |
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Intermolecular interactions in nucleic acid bases |
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155 | (4) |
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159 | (8) |
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Current trends in modeling interactions of DNA fragments with polar solvents |
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167 | (44) |
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167 | (2) |
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Continuum models of solvation |
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169 | (8) |
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169 | (1) |
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The family of SCRF models |
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170 | (2) |
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172 | (2) |
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174 | (1) |
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SMx family of solvation models |
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175 | (2) |
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Supermolecular approximation |
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177 | (1) |
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The hydration of the prototypic molecules |
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177 | (6) |
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The hydration of heterocycles---parent compounds of DNA bases |
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183 | (5) |
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Hydration of the DNA bases |
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188 | (12) |
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Structural parameters of the monohydrated DNA bases |
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188 | (5) |
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Structural parameters of the polyhydrated DNA bases |
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193 | (1) |
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194 | (3) |
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Intramolecular proton transfer |
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197 | (3) |
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Hydration of DNA base pairs |
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200 | (4) |
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204 | (7) |
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Radiation-induced DNA damage and repair: An approach from ab initio MO method |
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211 | (34) |
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211 | (3) |
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Structures of pyrimidine dimers |
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214 | (2) |
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Characteristics of thymine dimer |
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216 | (4) |
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216 | (1) |
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Ionization potential of T<>T |
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216 | (2) |
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Structural characteristics of T<>T and T<>(•+) |
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218 | (2) |
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Fragmentation mechanism of T<>T(•+) |
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220 | (11) |
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220 | (1) |
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Structure of thymine dimer radical cation at CAS(3e+4o) |
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221 | (1) |
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222 | (4) |
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Initial thymine dimer radical cation |
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226 | (1) |
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Structural change and spin distribution change along the fragmentation path |
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227 | (1) |
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Comparison with the case of (C2H4)2 •+ complex |
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228 | (1) |
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Comparison with experiments |
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229 | (1) |
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T<>T(•+) dissociation in DNA |
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229 | (2) |
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231 | (10) |
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231 | (1) |
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Structural and electronical characteristics of pyrimidine dimers |
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231 | (10) |
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241 | (4) |
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Application of molecular orbital theory to elucidation of radical processes induced by radiation damage to DNA |
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245 | (34) |
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245 | (2) |
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247 | (1) |
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247 | (4) |
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DNA base ionization potentials |
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248 | (2) |
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DNA base electron affinities |
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250 | (1) |
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251 | (2) |
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251 | (1) |
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Proton transfer processes in neutral and ion radical base pairs |
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252 | (1) |
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Base pair ionization potentials |
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253 | (1) |
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Base pair electron affinities |
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253 | (1) |
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253 | (2) |
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Effect of waters of hydration |
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255 | (3) |
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Solvation effects on ionization potentials |
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255 | (3) |
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Solvation effects on electron affinities |
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258 | (1) |
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258 | (3) |
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Phosphate radicals in DNA |
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258 | (1) |
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Deoxyribose radicals in DNA |
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259 | (1) |
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Ionization potentials of base, deoxyribose and phosphate portions of DNA |
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260 | (1) |
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DNA base H• and •OH adduct radicals |
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261 | (9) |
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Electron affinities of neural adduct radicals |
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262 | (3) |
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Ionization potentials of neural adduct radicals |
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265 | (1) |
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Redox potentials of neural adduct radicals |
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265 | (1) |
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Energetics of radical reactions initiated by radiolytic damage to DNA |
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266 | (2) |
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Structural features of base adduct radicals |
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268 | (2) |
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270 | (9) |
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Methyl mercaptan and cysteamine |
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270 | (9) |
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Exploring the structural repertoire of Guanine-rich DNA sequences: Computer modelling studies |
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279 | (46) |
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279 | (2) |
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Guanine rich triple helical structures |
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281 | (17) |
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Model building of d(C)12 •d(G)12 triple helices |
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284 | (1) |
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Protocol for molecular dynamics of (C)12 •d(G)12 *d(G)12 triple helices |
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285 | (1) |
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Structural parameters for (C)12 •d(G)12 *d(G)12 triple helices |
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286 | (3) |
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Analysis of structural variability in (C)12 *d(G)12 *d(G)12 triplexes |
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289 | (9) |
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Parallel and folded back quadruplex structures |
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298 | (19) |
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Protocol for molecular dynamics of d(G)7 quadruplex structures |
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301 | (1) |
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Structural analysis of d(G)7 parallel quadruplex structures |
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302 | (15) |
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317 | (8) |
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Third strand can be in either orientation in (C)12 *d(G)12*d(G)12 triplex |
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317 | (1) |
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Intercalated ions make the G-quadruplex structure rigid and stable |
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318 | (7) |
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The calculation of relative binding thermodynamics of molecular associations in aqueous environments |
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325 | (44) |
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326 | (6) |
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332 | (6) |
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Fundamental statistical mechanical derivation of the relative binding free energy |
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332 | (3) |
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Special considerations regarding ligands binding to HIV-1 protease |
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335 | (3) |
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338 | (6) |
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The relative binding free energies of peptidic inhibitors to HIV-1 protease and its 184V mutant |
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344 | (7) |
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Protonation states of the ASP 25, 125 dyad |
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344 | (1) |
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The thermodynamics of binding |
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345 | (6) |
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351 | (18) |
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Theoretical tools for analysis and modelling electrostatic effects in biomolecules |
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369 | (28) |
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369 | (1) |
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370 | (11) |
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Hybrid variation-perturbation decomposition of SCF interaction energy |
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370 | (4) |
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Electrostatic interactions |
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374 | (5) |
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Differential transition state/product stabilization approach |
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379 | (2) |
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381 | (10) |
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Nonempirical analysis of pKa shifts in mutated subtilisines |
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381 | (1) |
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Physical nature of the solvent induced proton transfer |
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382 | (1) |
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Analysis of reactant interactions in ribonuclease A active site |
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383 | (1) |
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Electrostatic nature of catalytic activity in aminoacyl t-RNA synthetases |
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384 | (3) |
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Electrostatic nature of inhibitor binding in leucine aminopeptidase |
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387 | (4) |
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391 | (6) |
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Application of reduced models to protein structure prediction |
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397 | (44) |
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397 | (7) |
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Energy functions and search protocols |
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398 | (1) |
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398 | (2) |
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Use of simplified models to obtain general insights into protein folding |
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400 | (1) |
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Threading approaches to tertiary structure prediction |
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401 | (1) |
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Exact restraint models of proteins |
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402 | (1) |
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Restraint free ab initio protein folding |
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402 | (1) |
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Evolutionary-based approaches to protein structure prediction |
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403 | (1) |
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404 | (11) |
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Secondary and tertiary restraints in assembly of protein structures |
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404 | (2) |
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Models with exact secondary structure but no tertiary restraints |
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406 | (3) |
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Models with exact but loose secondary structure and tertiary restraints |
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409 | (5) |
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How can these approaches be integrated with experiment |
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414 | (1) |
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Tertiary structure predictions by ab initio model building |
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415 | (11) |
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Predictions by restraint free folding |
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415 | (3) |
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Prediction by restraint driven folding: Evolutionary based approaches |
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418 | (8) |
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426 | (1) |
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What is the requisite resolution of predicted structures? |
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426 | (1) |
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Techniques for low to high resolution modelling |
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427 | (2) |
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Role of structure prediction in the genomics revolution |
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429 | (1) |
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430 | (11) |
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Modelling DNA-protein interactions |
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441 | (44) |
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441 | (1) |
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Analysing protein-DNA recognition |
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442 | (20) |
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445 | (3) |
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448 | (4) |
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452 | (10) |
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Molecular mechanics and dynamics simulations |
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462 | (13) |
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463 | (1) |
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464 | (4) |
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Minor groove binding proteins |
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468 | (4) |
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472 | (3) |
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475 | (3) |
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478 | (7) |
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Interactions of small molecules and peptides with membranes |
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485 | (52) |
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485 | (3) |
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488 | (6) |
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Transport of small solutes and ions across membrane interfaces |
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494 | (13) |
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Small, neutral solutes in membranes |
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495 | (7) |
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Unassisted transport of ions across membranes |
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502 | (5) |
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Interactions of peptides and membranes |
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507 | (15) |
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Peptides at aqueous interfaces |
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507 | (6) |
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513 | (4) |
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Simulations of transmembrane channels |
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517 | (5) |
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522 | (4) |
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Conclusions and future directions |
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526 | (11) |
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Modeling of antifreeze proteins |
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537 | (32) |
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537 | (2) |
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539 | (13) |
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Winter Flounder on the (201) |
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539 | (1) |
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Shorthorn Sculpin on the (2-1 0) |
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540 | (8) |
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548 | (2) |
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Ocean Eel Pout on the (100) |
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550 | (2) |
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Simulations of AFPS with explicit water |
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552 | (4) |
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Shorthorn Sculpin in a rectangular box |
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552 | (2) |
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Sea Raven in truncated Octahedron |
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554 | (1) |
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Ocean Eel Pout in a periodic box |
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555 | (1) |
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Simulations of AFPS in a continuum |
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556 | (7) |
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557 | (3) |
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560 | (3) |
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Simulations of the Winter Flounder at the ice/water interface |
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563 | (2) |
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565 | (4) |
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The role of computational techniques in retrometabolic drug design strategies |
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569 | (50) |
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569 | (1) |
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Principles of retrometabolic drug design |
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570 | (2) |
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572 | (10) |
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573 | (2) |
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Octanol-water partition coefficient |
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575 | (6) |
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581 | (1) |
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582 | (10) |
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584 | (4) |
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588 | (4) |
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592 | (10) |
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593 | (1) |
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594 | (2) |
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Illustration of computer-aided soft drug design |
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596 | (6) |
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Chemical delivery systems |
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602 | (11) |
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Brain-targeting chemical delivery systems |
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602 | (3) |
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Predicting partition properties |
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605 | (1) |
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606 | (7) |
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613 | (6) |
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Computational aspects of neural membrane biophysics |
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619 | (20) |
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619 | (2) |
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Algorithmic complexity and the principles of molecular computing |
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621 | (5) |
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Linear superposition permits massive parallelism |
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623 | (1) |
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Transduction and amplification require macroscopic-microscopic informational state-space mapping |
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624 | (1) |
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Memory is constrained by quantum recurrence |
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625 | (1) |
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Membrane studies in cell biology |
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626 | (2) |
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Hydrophobic mismatch: a candidate mechanism for neuromolecular computing |
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628 | (1) |
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Hydrophobic mismatch and molecular computation |
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629 | (1) |
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Genetic regulation of neuromolecular computing |
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630 | (1) |
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Potential experiments in neuromolecular computation |
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631 | (2) |
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633 | (6) |
| Index |
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639 | |